#help-49

1 messages · Page 147 of 1

cobalt nest
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^

faint tree
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i cannot find anything in my textbook talking about this situation

cobalt nest
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The vector lies outside the square, this event corresponds to the empty set, which is Jordan measurable and has probability zero

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if P(empty set) != 0 ur violating the axioms of probability space @ancient ridge

midnight plankBOT
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@faint tree Has your question been resolved?

ancient ridge
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I disagree as what you are saying because it sounds like you are trying to say that everything outside of the sample space is just wrapped up in some equivalence relation and labeled the empty set. I would prefer to not get pinged about this further unless the message is the relevant passage out of OPs book.

jaunty canopy
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as in phi is a probability density function from $\Omega$ to $\mathbb{P}$

grand pondBOT
jaunty canopy
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C is asking for $\mathbb{P}(([-7, 7]^{2})^{c})$

grand pondBOT
jaunty canopy
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so it's not an event

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at least that seems to be what they're going for

cobalt nest
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look at the definition he gave

midnight plankBOT
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@faint tree Has your question been resolved?

jaunty canopy
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cus otherwise like...what's wrong with what OP put?

cobalt nest
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thats what we're trying to figure out

jaunty canopy
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as in i'm pretty sure it's probably not C cus they're explicitly asking for ([-7, 7]^2)^C

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in R^2

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which isn't in sigma

jaunty canopy
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well i think probably wait for OP to try everything except C and then see what happens

cobalt nest
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then being outside the square doesnt make sense

jaunty canopy
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if it is C, it feels more like english rather than like...actual maths

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but oh well

faint tree
midnight plankBOT
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@faint tree Has your question been resolved?

midnight plankBOT
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@faint tree Has your question been resolved?

midnight plankBOT
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@faint tree Has your question been resolved?

sullen cosmos
faint tree
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and i wish it was

sullen cosmos
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Wait

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Why didint you select C

sullen cosmos
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No confusing cause you have to select the events that can’t happen lol

faint tree
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i originally did BCDFGIJ

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H corresponds to the top half of the square, minus the axes

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so i dont think its probability 0

sullen cosmos
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Ur right idk why I said H

sullen cosmos
faint tree
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i wish it was

sullen cosmos
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Mistake by the teacher?

faint tree
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i think there's an error in the question...

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im not sure ill have to check it i guess

sullen cosmos
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Email your teacher maybe?

faint tree
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i guess so

sullen cosmos
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If an event has probability 0 then it doesn’t occur lmao

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Imagine that’s it 💀

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You were actually taking a riddle class

faint tree
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i give up zzz

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ill check in with my teacher

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usually these dont contain mistakes but maybe this time there is

sullen cosmos
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I’m very curious wether it’s a mistake or what his interpretation is

faint tree
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well idk but its 4am for me

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ill ask him tomorrow

sullen cosmos
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Same

faint tree
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well thanks for the help anyways

sullen cosmos
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I see you are greek?

faint tree
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i am not lmao

sullen cosmos
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Greek in the discord bio 😔

sullen cosmos
carmine sigil
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Oh? Alr

sullen cosmos
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Events that have P = 0 but are still in the SS

carmine sigil
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That's certainly the interpretation

sullen cosmos
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Wait nvm that’s been tried

carmine sigil
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So my concern is it says φ is arbitrary

sullen cosmos
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But that’s shouldn’t matter no?

carmine sigil
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If φ is arbitrary, could it be the case that it features δ functions

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?

sullen cosmos
carmine sigil
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In mathematical analysis, the Dirac delta function (or δ distribution), also known as the unit impulse, is a generalized function on the real numbers, whose value is zero everywhere except at zero, and whose integral over the entire real line is equal to one. Thus it can be represented heuristically as

    δ
    (
   ...
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Thus we can choose to assign any measure 0 subset of the distribution space non-zero probability

sullen cosmos
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But then there no one answer

carmine sigil
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Like phi could be half the time it's a uniformly random distribution, and the other half it select (0,0)

sullen cosmos
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But then you don’t have enough information to solve the question

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I don’t think that really applies here, this is very likely a Probability I course

carmine sigil
sullen cosmos
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Since lying outside the square is not an event

sullen cosmos
carmine sigil
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Maybe

sullen cosmos
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P(outside the square) is undefined

carmine sigil
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P(outside the square) = 0

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Any event outside of the space of possible events has probability 0

sullen cosmos
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Since P maps from Ω -> R

carmine sigil
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Ah fair

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I missed that

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Nice catch

sullen cosmos
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Yea but he tried them both anyways

carmine sigil
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Broken question, hate those

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Especially ones that are so damn pedantic about their answers.

sullen cosmos
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Well usually someone else who does the assignment early would catch the error and it would get fixed pretty quickly

faint tree
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well the assignment was released only 30 min before i made the post

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this is the only question i didnt finish in that time

sullen cosmos
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Be the goat of the class

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Email the teacher say you think it’s wrong and it will be fixed

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You are that student now lmao

faint tree
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it seems like it yeah

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well thanks for helping

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at least i know im not crazy

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im gonna sleep

sullen cosmos
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Yea it will probably be fixed by the time you wake up

faint tree
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.close

midnight plankBOT
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dreamy lichen
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Show that $\lim_{n\to \infty} \frac{b_{n+1}}{b_n} = 1\$ Where $b_n = \int_0^{\frac{\pi}{2}} \sin^n(x) \text{d}x$

grand pondBOT
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MæthIsAlwaysRight

dreamy lichen
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oh and I can't use the wallis product because this is part of its proof

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idk where to start, because i dont really know how can I work out the ratio of 2 integrals

midnight plankBOT
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@dreamy lichen Has your question been resolved?

dreamy lichen
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i have these 2 formulas

white gate
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ye

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then you use squeeze theorem and thats it

dreamy lichen
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wait how do i apply squeeze?

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the ratio is (wallis product) / (pi / 2)

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in the limit

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and i dont yet know whether wallis product = pi / 2

white gate
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$b_{2n+1}\le b_{2n}\le b_{2n-1}$

grand pondBOT
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TargetVN

white gate
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it can be proven using sin(x) <= 1

dreamy lichen
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so b_n is decreasing

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that'd mean that
(b_(n+1) / b_n) <= 1

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in the limit

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the opposite inequality is tougher tho

white gate
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$\frac{b_{n+1}}{b_{n}}\ge \frac{b_{n+1}}{b_{n-1}}=\frac{n}{n+1}$

grand pondBOT
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TargetVN

white gate
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its not that tough

dreamy lichen
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That makes so much sense

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i just needed to go one step further

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thanks man

white gate
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np

dreamy lichen
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you saved me a lot of pain lol

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spice scroll
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how do i prove RHSs are equal using taylor series?

grim vector
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Consider the expansion of exp maybe

white gate
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there will be some terms that cancel each other

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gusty falcon
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in a dataset strictly consisting of repeats

midnight plankBOT
gusty falcon
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is that data point technically all percentiles?

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like [2,2,2,2,2] then 2 is the 50th percentile

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and also the 89th percentile right

hearty rune
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yeah

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nothing else it could be

gusty falcon
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right okay thanks

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and uh

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in a normal distribution for example

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each percentile has the same number of “frequency” right

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i mean isn’t that by definition

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but the area under the curve just tells you how much of the data a specific datapoint is above or below?

heady plume
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Percentiles are equally spaced in terms of proportion, not frequency.

gusty falcon
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wdym?

heady plume
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for example, the area between the 49th and 50th percentile is 1% of the total area of the curve, but for a standard normal distribution, the curve is taller near the mean meaning that the data points are more densely packed in that region

gusty falcon
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1% in specific

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what did you want to say with the second line

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maybe i’m not getting that

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u mean two data points could be “nearer” if it’s around the mean

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compared to datapoint around the “endpoints”

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but both still are 1%?

heady plume
heady plume
gusty falcon
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hmmm yeah fair

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wait then

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what does frequency even mean then

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in terms of a continuous distribution

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yeah okay i guess i see how u use it

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thanks

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heady plume
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twilit field
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Find $\int_{S} (x^2-y^2)dx dy$ where $S$ is bounded by the curve $y=\sin(x)$ and the interval $[0,\pi]$

grand pondBOT
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What a wonderful world it is !

twilit field
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So basically $\int_{0}^{\pi} \int_{0}^{\sin(x)} (x^2-y^2) dy dx$

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right?

dawn dagger
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check your bounds

twilit field
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both bounds?

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oops

grand pondBOT
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What a wonderful world it is !

dawn dagger
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yes

twilit field
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Next, I want to find the volume of the pyramid bound by the 3 coordinate planes and the plane $x+2y+3z=6$

grand pondBOT
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What a wonderful world it is !

twilit field
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So The region is $x \geq 0, y\geq 0, x+2y \leq 6$

grand pondBOT
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What a wonderful world it is !

twilit field
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so $\int_{0}^{3} \int_{0}^{6-2y} 6-(x+2y) dx dy$

grand pondBOT
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What a wonderful world it is !

dawn dagger
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looks correct

twilit field
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thanks

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twilit field
#

A solid is bounded by the surface $z=x^2-y^2$, the $xy$ plane, and the planes $x=1$ and $x=3$. Find the volume of the solid

grand pondBOT
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What a wonderful world it is !

twilit field
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This is essentially the region between x=y and x=-y in the first quadrant

latent elk
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What have u tried?

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Well, honestly, there's nothing to try here... Since u just need to put these into a triple integral

twilit field
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double, right

dawn dagger
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you can do both

zealous schooner
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if you do a triple integral you'd just be integrating 1

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but writing it as a triple integral is easier

twilit field
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It's this region, right

dawn dagger
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with the constraints x=1 and x=3

twilit field
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$\int_{1}^{3} \int_{-x}^{x} (x^2 -y^2) dy dx$

grand pondBOT
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What a wonderful world it is !

dawn dagger
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looks aight

twilit field
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Cool

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Tq

dawn dagger
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nq

twilit field
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Now this

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$\iint_{S} x^2+y^2$;$S= {(x,y) \mid \abs{x} \leq 1, \abs{y} \leq 1}$

grand pondBOT
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What a wonderful world it is !

twilit field
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so using symmerty

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$4\int_{0}^{1} \int_{0}^{1} x^2+y^2 dy dx$

grand pondBOT
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What a wonderful world it is !

twilit field
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Is this fine>

last slate
robust isle
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your bounds are off

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|x| <= 1 vs x in [0,1]

last slate
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why is there two integrals

twilit field
twilit field
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x is between -1 and 1

robust isle
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yea

twilit field
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Yes, I'm just integrating in teh first quadrant

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and multiplying it by 4

robust isle
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yeah didn't see the 4

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aight

twilit field
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thanks

midnight plankBOT
#

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dusty portal
#

For context: I have absolutely no knowledge of physics, yet they have introduced these problems in class.\
So, I was working through my notes (which you're supposed to answer the questions and do the homework for), and I never saw this concept when I was reviewing on Khan Academy or from CollegeBoard. They introduced a physics concept, in which $\mathbf{r}(t)=[(v_0\cos(\theta))t] \mathbf{i}+\qty[-\frac12 gt^2+(v_0\sin(\theta))t+h]\mathbf{j}$, where $\mathbf{r}(t)$ is the position vector as a function, $\theta$ represents the angle of elevation of the projectile, and $v_0$ is the initial velocity. Can anyone explain why this is?

grand pondBOT
dusty portal
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Or maybe I should post this somewhere else?

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And ping me if/when you reply, since I'm working right now.

obtuse basin
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Seems to be projectile motion

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v_0 is the initial velocity, theta is the angle at which the projectile is thrown from the ground

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@dusty portal

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The only force acting on the projectile is the force of gravity, which is vertical, so the horizontal velocity stays the same, meaning the horizontal position is simply the initial position times time passed, whereas the vertical position obeys (initial height) + (initial vertical velocity)t - gt^2/2

dusty portal
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I see.

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So its just like $-16t^2+v_0 t+h$ like you would see in an algebra class?

grand pondBOT
dusty portal
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Well, I know gravity can vary, but you get the point.

obtuse basin
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Yeah

dusty portal
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I see.

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Thank you.

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Let me write this down, I do want to study calculus-based physics but I'm not the greatest at it.

midnight plankBOT
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graceful ferry
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Can someone give me a direction?

midnight plankBOT
graceful ferry
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I know from the given that r(A)=1 and that (1 -1 3) is a linear span of columns of A, but how to find the space of rows of A ?

midnight plankBOT
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@graceful ferry Has your question been resolved?

midnight plankBOT
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@graceful ferry Has your question been resolved?

graceful ferry
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Basically how to find x y z here ?

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,rccw

grand pondBOT
runic hamlet
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what does Ax=0 tell you about the rows of A

graceful ferry
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All I know is that the dimension of the amount of answers(?) for Ax=0 (2) is the same as KerA which is the same as n-r(A) (the amount of zero rows)
And this is how I concluded that r(A)=1...

runic hamlet
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but you are even given how ker A looks like

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surely you have to use that somehow

graceful ferry
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Oh I'll see then

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KerA is {(3 -1 1) (-1 -1 -1)} ,,
How do I use this? could I find ImA ? How to use the given that Ax=(1 -1 3) has a solution,,
I know it means (1 1 -3) is a span or columns of A but I'm confused by this since all columns of A looks like this: (x 0 0) so how can I get (1 -1 3)? Is thus where the trick is?

runic hamlet
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that is not the kernel

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that is a basis of the kernel

graceful ferry
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Mb, I mean basis

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And I mean finding the basis for ImA

runic hamlet
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the columns of A do not look like this

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thats not what rank 1 means

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what does it mean that A*(3,-1,1)=0

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let (a1,a2,a3) be the first row of A

graceful ferry
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That 3a1-1a2+1a3=0 and so on.. ?

runic hamlet
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now look at that equation

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what can you do with it

graceful ferry
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Uh I could move a2 to other side and now I have 2 unkowns

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Idk

runic hamlet
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ok I wanted a less specific statement. "I can solve for a1,a2,a3"

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can you find another such equation?

graceful ferry
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Yes -a1-a2-a3=0

runic hamlet
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so thats two equations

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for a1,a2,a3

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solve them

graceful ferry
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a3=2a1
a2=-3a1

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(1, -3, 2) ?

runic hamlet
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no

graceful ferry
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(1 , 1 , -2) I MISSED THE MINUS

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Can you please explain what rank 1 means ?

runic hamlet
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the rank is the maximal number of linearly independent columns or rows

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so here at most 1 row is linearly independent

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aka, they are all multiples of another

graceful ferry
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Oh okay ty

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.close

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graceful ferry
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Ugh that means (1 -1 3) is useless

midnight plankBOT
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jolly pebble
#

Can someone help me intuit the central limit thm

cobalt nest
jolly pebble
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Hii

cobalt nest
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hiii

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ask away we will try to help

jolly pebble
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Yea so

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We r taking N samples from any (ANY) distribution

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And it's sum is supposed to follow

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The same family of distributions?

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The sum of samples

nova yoke
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in the limit

nova yoke
jolly pebble
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And if u subtract N times the mean of the OG distribution and divide that by std deviation times sqrt N, then that expression will follow the same normal distribution

jolly pebble
jolly pebble
nova yoke
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most distributions you deal with in practice have finite variance though

jolly pebble
nova yoke
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it has infinite variance (its tails are too "heavy")

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its pdf looks like a normal distribution but more spread out

jolly pebble
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Ahh ok

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So if we sample from the cauchy distribution

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Then the CLT won't apply?

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Can you help me intuit all this

nova yoke
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right, iirc if you take a sum of iid samples from the cauchy distribution the result is still cauchy

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it doesn't converge to normal in the limit

jolly pebble
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Ohh

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So

  1. Why does CLT apply for finite variance case
  2. Why it doesn't apply for indefinite variance case
nova yoke
# jolly pebble Can you help me intuit all this

what kind of intuition are you looking for? have you ever seen one of those animations where they show the distribution of the sum of the number of "heads" in a sequence of coin flips, as the number of flips increases?

jolly pebble
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I've seen a few animations

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Particularly of that little toy with beads

nova yoke
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as far as mathematical intuition, when you add independent samples from some probability distribution, the distribution of the resulting sum is the convolution of N copies of the original distribution (where N = the number of samples)

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and the convolution of the normal pdf with itself is the normal pdf again

jolly pebble
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Galton board iirc

nova yoke
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so it's kind of a "fixed point" for the operation

jolly pebble
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Convolution as in the convolution operation?

nova yoke
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yea

nova yoke
jolly pebble
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Hmm ok

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Idk why im not able to like

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"get" it

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I'm trying to make it intuitively click

nova yoke
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as for how you might guess that is a solution to "what distribution convolved with itself gives itself again" without already knowing it, there's probably some cool way to deduce that but offhand i can't recall how

jolly pebble
nova yoke
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yea maybe kind of analogous

jolly pebble
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Ok so again

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Take any distribution

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Sample from it repeatedly

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And umm

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Ah ok

jolly pebble
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So can we just say that

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It's cuz

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It's very unlikely to get sums that sum to the largest possible sun

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Sum

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Random sums will be closer to the average

jolly pebble
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But like why

cobalt nest
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hedge, whats the confusion u have here

jolly pebble
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Is there any property here

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I mean

nova yoke
jolly pebble
# cobalt nest hedge, whats the confusion u have here

What is the sort of underlying logic that goes "If we take sum of a bunch of samples, we will with a higher probability get sums which lie in the middle of the distribution than the rare cases where the sum is the largest or smallest possible"

jolly pebble
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But as u said that seems more of a mathematical technicality

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Which we can get to by uhh algerbraing our way there

cobalt nest
cobalt nest
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Extreme sums (either very large or very small) are rare because they require all the individual samples to be extreme simultaneously

jolly pebble
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And what makes that rarer than the mean-ish values?

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And why does this not work for the cases you mentioned

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Where variance isn't finite

cobalt nest
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ur violating the conditions of CLT 🙂

jolly pebble
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Yea that's what I'm askingz why r they the conditions for the clt

cobalt nest
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aaah i see

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you want to know the idea behind CLT?

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thats your main question?

jolly pebble
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Yes

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I'm trying to intuit the CLT

cobalt nest
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aight okey i'll think of some intuition and get back at ya

nova yoke
#

not sure if there's a less technical explanation for why in the limit you would get something of the form e^(-x^2)

jolly pebble
#

Honestly I think my question has

#

Boiled down at least rn I think it has boiled down to

#

Just understanding why the law of large number holds true

#

I mean

#

Rn I feel like GIVEN the LLN, it OBVIOUS that the CLT will hold

nova yoke
#

no i wouldn't say that actually

#

the CLT is a lot less elementary than the LLN

jolly pebble
#

Yea I just have a FEELING

jolly pebble
#

So like why does the LLN hold

nova yoke
#

the LLN is just saying that as you take the sample mean of a bunch of iid random variables, the variance of the result gets smaller, and in the limit the result "converges" (in various technical senses) to the mean of the distribution

#

like if you flip a large number of coins and compute the fraction of them that are heads, you'd expect the fraction to be close to 1/2

jolly pebble
#

Isn't this the "consistency" assumption

nova yoke
#

and you'd expect that as you increase the number of coins, you're more likely to get a result close to 1/2

nova yoke
jolly pebble
#

I mean that that will only be true if the estimator for the mean is consistent

nova yoke
#

well the sample mean is consistent

jolly pebble
#

Ohh

nova yoke
#

because expectation is linear

jolly pebble
#

The sample mean is by default a consistent estimator for the population mean?

#

Makes sense

#

I mean seems trivial now that I think about it

jolly pebble
cobalt nest
#

it is by definition

jolly pebble
#

And wdym when u say expectation is linear

nova yoke
#

$$E\left[\frac{1}{n}\sum_{i=1}^n x_i\right] = \frac{1}{n}\sum_{i=1}^n E[x_i] = \frac{1}{n} n\mu = \mu$$

grand pondBOT
jolly pebble
#

Ahhh rightt

nova yoke
jolly pebble
#

Omg I'm tripping it's literally the sum of vals

#

Divided by n

#

n

nova yoke
#

and integration is linear

jolly pebble
#

N

jolly pebble
#

So given it's linear

#

It has to be consistent

#

I mean even if it was quadratic

nova yoke
#

for the mean yes

jolly pebble
#

It would have been consistent I suppose

nova yoke
#

if you want an unbiased estimate of the variance you have to tweak the 1/n to 1/(n-1), for example

jolly pebble
#

Sum of squares for example? It's also consistent?

nova yoke
#

and for other parameters there may not be any obvious unbiased estimator at all

#

but the the mean is simple regardless of distribution

jolly pebble
#

Please explain that to me

#

The whole degrees of freedom shenanigans

cobalt nest
#

kekw x))

nova yoke
#

well the math works out the way it works out
but maybe the intuition here is that when you compute the sample variance, you need to know the real mean but you can only compute the sample mean, so that introduces a bit of "noise" into your calculation that you have to compensate for

jolly pebble
#

That's what I don't get

nova yoke
#

ah i can't give you a simple intuitive reason for that, you just do the math and that's what happens

#

that doesn't mean there isn't a simple intuitive reason, i just don't know it offhand haha

jolly pebble
#

It's something something degrees of freedom something

cobalt nest
#

degrees of freedom are closely tied to the number of independent observations or parameters in a dataset, minus the number of constraints.

jolly pebble
#

Right

cobalt nest
#

suppose there is n data points

#

so there should be n deg of fred right ?

#

the sample mean impose a constraint that xi - mu = 0

jolly pebble
#

I'm a bit confused here

cobalt nest
#

thats why in the variance we do : $s^2 = \frac{1}{n-1} \sum_{i=1}^n (x_i - \bar{x})^2$

grand pondBOT
#

Goëtia

jolly pebble
#

Yea so why do we use N-1 instead of like N-2 or N-k

#

Or idk N/2 or N/k

cobalt nest
#

to do n-2, u need another constraint

#

do to n-k, u need k constraint on the data sampling

jolly pebble
#

Yea exactly, that's what I'm asking "why"

cobalt nest
#

look, dgrees of freedom matter because they quantify the effective size or flexibility of a system

jolly pebble
#

What's the sample-population adjustment have to do with the degrees of freedom

cobalt nest
#

More degrees of freedom generally allow a model to fit data more closely, but this can lead to overfitting, fewer degrees of freedom impose simplicity, reducing overfitting but potentially increasing bias

#

degrees of freedom affect the precision of estimates and the power of statistical tests. More degrees of freedom typically lead to narrower confidence intervals and more sensitive tests

jolly pebble
#

Thee intuitive reason for using N-1 for sample variance is that cuz we are sampling from a distribution, subtracting from the samples mean and squaring it will lead to underestimation of the numerator term in the variance

#

So we are trying to account for that underestimation by ourselves reducing the denominator

#

But this only gives us intuition for why the denominator should be reduced

cobalt nest
#

you could think of it that way

jolly pebble
#

Not for "by how much"

cobalt nest
#

The key point here is that s² is designed to be an unbiased estimator of the population variance σ²,this means that, on average, s² should equal σ² when computed over many samples

#

degree of freedom or whatever, n-1 can be derived exactly from the mathematical expectation

jolly pebble
#

I think there's some logic

#

Here

cobalt nest
#

let me derive it for ya rq

#

$\sum_{i=1}^n (X_i - \bar{X})^2$ this is the deviations right?

grand pondBOT
#

Goëtia

jolly pebble
#

That is the variance yes

cobalt nest
#

$(X_i - \bar{X})^2 = (X_i -\mu - (\bar{X}- \mu))^2 = (X_i - \mu)^2 -2(X_i -\mu)(\bar{X} - \mu) + (\bar{X} - \mu)^2$

grand pondBOT
#

Goëtia

cobalt nest
#

$E[\sum_{i=1}^n (X_i - \mu)^2] = n \sigma^2$ agree?

grand pondBOT
#

Goëtia

cobalt nest
#

$\bar{X} - \mu = \frac{1}{n}\sum_{i=1}^n (X_i - \mu)$

grand pondBOT
#

Goëtia

cobalt nest
#

$\sum_{i=1}^n (X_i - \mu)(\bar{X} - \mu) = \frac{1}{n} \sum_{i=1}^n \sum_{j=1}^n (X_i - \mu)(X_j - \mu)$ if $i \neq j$ then $$E[(X_i - \mu)(X_j - \mu)] = 0$$ since they are i.i.d agree @jolly pebble

grand pondBOT
#

Goëtia

cobalt nest
# grand pond **Goëtia**

last term here when applied the expected value to it is just the variance of the sample mean evaluating to : $\frac{\sigma^2}{n}$

grand pondBOT
#

Goëtia

jolly pebble
#

Hmm

#

Thanks goëtia

cobalt nest
#

bringing everything together we get $E[\sum_{i=1}^n (X_i -\bar{X})^2] = (n-1)\sigma^2$

grand pondBOT
#

Goëtia

cobalt nest
#

you got it why n-1 now? @jolly pebble

jolly pebble
#

Yes

#

But the connection to the DOFs is still unclear

cobalt nest
#

DOF?

jolly pebble
#

Degrees of freedom

cobalt nest
#

aah

#

well it just depends on the estimator

jolly pebble
#

Hm?

cobalt nest
#

u know of the MLE?

jolly pebble
#

Yes

cobalt nest
#

we divided by n

jolly pebble
#

So here we are not adjusting for DOFs?

cobalt nest
#

In linear regression, the degrees of freedom for the residual variance depend on the number of parameters estimated. Specifically, if you estimate p parameters (including the intercept), the residual variance is computed by dividing by n-p, suppose ur in simple linear regression y = ax + b + e (a,b parameters)

#

this is the residual variance

jolly pebble
#

I guess I'll have to read a bit Abt degrees of freedom on wikipedia

#

Thx a lot for ur help goëtia

#

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maiden forge
#

i got a quick question

midnight plankBOT
maiden forge
#

currently doing this question

kindred dagger
maiden forge
#

sort of

#

just got a question

#

are u allowed to put 1 outside the bracket?

#

like this 1(3x+1)

kindred dagger
#

Definitely

maiden forge
#

ah ok

kindred dagger
#

In fact, you should, because it makes factoring easier

maiden forge
#

I thought you weren't allowed to do that but thank you for clearing up the confusion!

#

wait so the answer would be (3x+1) (3x+1) ?

kindred dagger
#

||a * a = a^2||

maiden forge
#

expanding?

kindred dagger
#

Since two of the same values are being multiplied

maiden forge
#

ohhhhhh

#

(3x+1)^2

kindred dagger
#

,w expand (3x + 1)^2

kindred dagger
#

Nice

#

!done ?

midnight plankBOT
#

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maiden forge
#

.close

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sand flume
#

can someone explain how this interpretation differs from margin of error: is it only because we didn't multiply by a critical value. also why would we use standard error of margian of error to make a interval for a cofindence level?

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@sand flume Has your question been resolved?

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frank osprey
#

I do not understand why it cannot be the case that A' has an enemy of B on its left or B has an enemy of A' on its right, so even if we reduced the number of hostile couples by 1, we would be adding at least 1 back, can anyone help me to understand it please?

midnight plankBOT
#

@frank osprey Has your question been resolved?

midnight plankBOT
#

@frank osprey Has your question been resolved?

midnight plankBOT
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@frank osprey Has your question been resolved?

midnight plankBOT
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@frank osprey Has your question been resolved?

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regal knot
#

I don’t get what I have to do next

midnight plankBOT
regal knot
#

is it 99-70=29

#

then divided by 4

carmine sigil
#

@regal knot do you know how to convert this into a z-score and look up values in a normal CDF table?

regal knot
#

yeah

carmine sigil
#

Convert both of these values into a z-score. Then you have 2 points on a normal distribution which you can use to find the two unknowns: mean and stdev

regal knot
#

Don't I already have 2 points 70 and 99?

carmine sigil
#

Yes, you are using the those two points, except in the z-score world as well

#

There are two ways to go from a value to a z-score, one is using the normal cdf and the other using the mean and stdev

#

You're using the normal cdf to find the z-score, then using the formula to relate regular x coord (i.e. 70 and 99) to z-score via the mean and stdev, you are coming up with two equations and two unknowns

#

@regal knot still with me?

regal knot
#

Kinda?

#

so am I doing a system of equations to get rid of one of the variables

carmine sigil
#

You're doing the system to find both variables

#

Once you do that you can use them to find the z-score associated with 80 to answer the question

#

This one you need to use the mean and stdev

regal knot
#

but theres not exact value for 0.16 and .99 in the z score table

#

or do I just do the closest one

carmine sigil
#

You need to estimate

#

Using a linear interpolation

#

Or dead reckoning, if you don't need many digits of accuracy

regal knot
#

so i'd be like

  1. 70= u + (-1.00) x Sigma
  2. 99=u + (2.33) x Sigma
#

and then you subsitute

carmine sigil
#

Ummm

#

Those are not the correct z-scores.

#

At very least 99 is wrong

#

But yeah, that's the idea

regal knot
#

ohhh

#

i see

#

I'm suppose to use 16% and 0.15%? right then convest to z score

carmine sigil
#

16% is pretty close

#

-0.995

#

0.15% = 0.0015 is approximately z-score of 2.965ish

regal knot
#

I got -2.96 and -1

carmine sigil
#

How on earth would you get -2.96?

regal knot
#

its was suppose to be for 16% but it gets 0.16%

carmine sigil
#

(wrong tail direction)

#

Anyway, I need to go afk, best of luck, you're 95% of the way there!

regal knot
#

thank you

#

I think I get it now

#

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tight bison
midnight plankBOT
tight bison
#

I’m not the smartest and I’m not that cocky but I’m almost 10000000% sure I did this correct

#

But the computer said the answer was wrong

#

Nvm

#

I completely forgot I u subbed

#

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vale zephyr
#

"10000000% sure"

tight bison
#

😂

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errant fable
#

can you help me with this question

midnight plankBOT
#

@errant fable Has your question been resolved?

cobalt nest
#

!status

midnight plankBOT
#
What step are you on?
1. I don't know where to begin.
2. I have begun but got stuck midway.
3. I got an answer but I was told that it's wrong.
4. I got an answer and would like my work checked.
5. I have a question about someone else's work/solution.
6. I have completed the problem and don't need help anymore. Thank you.
7. None of the above
cobalt nest
#

@errant fable

errant fable
#

6

cobalt nest
#

good

#

consider .close

errant fable
#

Sorry could i ask abot another question?

cobalt nest
#

oke

errant fable
#

how can I rearrange this to be able to put into the equation

cobalt nest
#

?

errant fable
#

i need to rearrange equation to be able to find values to put into this equation

cobalt nest
#

what equation?

errant fable
#

Partial sum for geometric sequence

#

i just dont know how to rearrange to in form of a * q^r

#

its okay i dont think im explaining well ill be able to figure it out

#

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cobalt nest
#

its ok just take ur time to formulate ur question in ur own mother language translate it to english using AI, and post it here we'll do our best to help you @errant fable

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last slate
#

Calc 2: A reservoir is shaped like a sphere of radius 5 m. It is filled up to 8 m with water.
Compute the work required to pump the water to 2 m above the top of the reservoir.

My equation for work is (9800)(12-x)(25-x^2)(pi) integrating from 0 to 8. This does not give the correct answer but close to the solution answer. Where did I go wrong?

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@last slate Has your question been resolved?

cerulean solar
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inland patio
#

If the $\limsup a_n=y$ of a real sequence $(a_n)$ is negative infinity, why does this imply that $s_n\to -\infty$, where $s_n=\sup_{k\geq n}a_k$? The definition of $y=-\infty$ I'm working with is that ${a_1,a_2,\ldots}$ is not bounded from below (but it is bounded above) and no finite $\limsup$ exists, where the finite $\limsup$ is defined in terms of: \

For every $\epsilon>0$;\

  1. there exists $N\in \mathbb N$ such that $a_n<y+\epsilon$ for all $n> N$;\
  2. for every $N\in\mathbb N$ there exists $n>N$ such that $a_n>y-\epsilon$.\

My attempt; if $y=-\infty$, then ${a_1,a_2,\ldots}$ is unbounded. Suppose on the contrary that $s_n\geq M$ for infinitely many $n$, where $M$ is some real. I want to derive some contradiction, but I don't know how.

grand pondBOT
midnight plankBOT
#

@inland patio Has your question been resolved?

cobalt nest
#

that would imply that there exist k >= n : a_k >= M, by the definition of s_n = sup_k>=n a_k

inland patio
cobalt nest
#

well for infinitely many n

#

to be sure

#

you can do

#

a_k >= M - e

#

honestly a straightforward proof would do it instead of by contradiction

inland patio
cobalt nest
#

s_n is the supremum of {a_n,a_{n+1}, ...} right

inland patio
#

I'm trying to prove the equivalence of two limsup definitions by the way

#

right

cobalt nest
#

s_n >= a_k

#

since lim sup a_n = -infty

#

for any real M

#

there exist N

#

k>= n > N : a_k < M

#

this implies

#

sup_{k >= n}a_k <= M

#

thus s_n <= M

inland patio
cobalt nest
#

pick k = n

#

no problemo

#

k >= n > N

#

oke?

inland patio
# cobalt nest oke?

ah ok, you used the fact that limsup a_n=-infty means {a1,a2,...} is unbounded, makes sense 👍

cobalt nest
#

@inland patio consider .close if ur question is answered

inland patio
#

thanks for the help!

#

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last slate
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warm inlet
midnight plankBOT
noble vapor
#

what have you trie

#

d

warm inlet
#

fighting the urge to use gpt

white gate
# warm inlet

Use the point (1/2,4) to split the region into 2 parts

dusty portal
warm inlet
dusty portal
noble vapor
#

x

white gate
#

You are not rotating anything so it doesnt matter

noble vapor
warm inlet
#

bc it’s a straight line pmuch

dusty portal
noble vapor
white gate
dusty portal
noble vapor
#

with respect to y you get square roots wich is uglier

warm inlet
#

rahhh i hate calculus

white gate
#

this is just the beginning :)

warm inlet
noble vapor
#

it gets worse haha

warm inlet
#

8 units of hell and it’s only the beginning 💔

white gate
#

trust me, you'll love it when you get deeper

warm inlet
#

let’s pause on that one

dusty portal
white gate
#

rip

warm inlet
#

okay so i split it

#

and i have no idea what im doing still

noble vapor
#

do you know how to find the area under a curve?

warm inlet
#

integrate

noble vapor
#

do you know how to find the area between two curves?

warm inlet
#

yeah

#

i was just doing it

noble vapor
#

okay what exactly are you stuck on then

warm inlet
#

they were always in line with either the x or y axis

#

and it told me what to use

#

so it was easy

dusty portal
#

Elaborate.

warm inlet
#

like

#

it was either super obviously y axis or super obviously x axis

noble vapor
dusty portal
#

Ok.

#

Well, try to figure out which functions you should integrate (i.e., which is greater than the other on the partitioned intervals?)

white gate
#

Most of the time choosing which axis only matters when it comes to volume of solid of revolution

#

This is area so it doesnt matter, plus, going for y is even harder

warm inlet
#

okay so would i find the area under 2 and then another 2 and then another 2?

midnight plankBOT
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mint ravine
#

can someone please help me on this question

midnight plankBOT
tepid lodge
mint ravine
#

be patient my computer is lagging right now

#

nevermind i don't need help anymore

#

.close

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kindred dagger
midnight plankBOT
kindred dagger
#

I need someone to check my work for #38

#

(original question is loading)

olive matrix
#

it's right

kindred dagger
#

.close

midnight plankBOT
#
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midnight plankBOT
#
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crude slate
#

i dont get this

midnight plankBOT
crude slate
#

what did I do wrong with the formula?

sharp coral
#

,, \proj_{\vec b}\vec a = \frac{\vec a \cdot \vec b}{\vec b\cdot \vec b}\vec b

grand pondBOT
crude slate
#

how do I find the orthagonal complemetn?

sharp coral
#

(projection) + (orthogonal complement) = original vector

crude slate
#

is there stil lsomething wrong

#

that im unaware of ?

sharp coral
#

what is $\vec a\cdot \vec b$?

grand pondBOT
midnight plankBOT
#

@crude slate Has your question been resolved?

crude slate
#

Oh ty!

#

Forgor negative

lethal path
#

.close

midnight plankBOT
#
Channel closed

Closed by @lethal path

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lethal path
#

(and .reopen if you want to reopen)

midnight plankBOT
#
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fleet sonnet
#

A tower stands vertically at the base of a hill that inclines upwards at 30 degree to the horizontal. from a point 25 metres from the base of the tower and directly up the hill the tower subtends an angle of 52 find the height of the tower giving your answer correctt to the nearest metre

fleet sonnet
#

how do i draw this diagram

#

i dont understand the part where it subtends an angle of 52

tepid lodge
#

if you draw a line between the top of the tower and that point

#

the angle between that line, and the hill, is 52 degrees

fleet sonnet
#

so is it angle of depression?

tepid lodge
#

no its the angle at the base

#

like

fleet sonnet
#

i drew the tower and thehill going up

#

so i draw a dotted line from the base tower

#

and then it ends at the point

#

where do i do the 52

tepid lodge
#

blue angle is 52

fleet sonnet
#

huh

#

oh

tepid lodge
#

sorry for the quality why is my Paint set to 77 by 128 pixels

fleet sonnet
#

ok so its inwards

#

where do i start

#

so the diagram is like this right

tepid lodge
#

yes except the tower needs to be taller

#

because if that dotted line was horizontal , then the 52 would be 30

fleet sonnet
#

okay

#

where do we start

tepid lodge
#

find the height of that point on the hill

#

and also the horizontal distance from the tower to that point

fleet sonnet
#

for height u would use sin right

white gate
fleet sonnet
#

okay

#

whats it for

#

if we make ir parallel

tepid lodge
#

im pretty sure the tower is meant to be taller

#

that 52 looks less than 30

white gate
#

yeah true

#

the angle would be negative

fleet sonnet
#

ok so like this

#

cant u find the angles inside the triangle cuz it says its a vertical

#

hmm

white gate
tepid lodge
#

i meant

#

like

fleet sonnet
#

u want the 52 to be a bigger angle and 30 to become smaller?

#

would it rlly matter

#

i just need the logic behind it

tepid lodge
#

tower higher

tepid lodge
white gate
#

you can see what happens if it's higher

fleet sonnet
#

wait thats negative

#

oh

white gate
#

yeah it needs to be lower

tepid lodge
#

exactly

fleet sonnet
#

okay wait

#

so this is how it would look

tepid lodge
#

yess

fleet sonnet
tepid lodge
#

now draw a line straight down from that point with the 52 angle to make a triangle

fleet sonnet
#

okay

#

we name that y

#

so sin 30 = y/25

tepid lodge
#

yeah

fleet sonnet
#

then y= 21.25

tepid lodge
#

uh

#

what

#

what is sin 30

white gate
#

@fleet sonnet is law of sine allowed?

fleet sonnet
#

im doing questiosn related to law of sine cosine

fleet sonnet
tepid lodge
#

oh-

tepid lodge
#

but its just easier without law of sine

fleet sonnet
#

oh

white gate
fleet sonnet
#

oh

#

so then u use law of cosine

#

to find x

white gate
#

sine is easier tho

fleet sonnet
#

wait i mean sine ye

#

what if i forgot about both these formulas

#

what do i do

#

without using them

#

u never nkow bruh i might forget during test

tepid lodge
#

this

#

wait lemme fix my paint first

fleet sonnet
#

okay

white gate
#

this also works

fleet sonnet
#

oh u split up

#

law of sine would be easiet right

white gate
#

ye

#

the one above is the 2nd easiest

tepid lodge
tepid lodge
fleet sonnet
#

wait uhh

#

do we need to find x

#

oh ye we do

fleet sonnet
tepid lodge
#

yeah

#

y is sin(30) * 25, and x is cos(30) * 25

fleet sonnet
#

yes so 21.65

tepid lodge
#

then d is tan(22) * x, and h is y + d

fleet sonnet
#

oh

#

ye i get it

#

okay lemme calc rq

#

but ty

#

okay i get it

#

ty.

#

.close

midnight plankBOT
#
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midnight plankBOT
#
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chilly cobalt
#

hi! im prepping for a middle school competition and this was one of the questions last year, what do i do for b)?

chilly cobalt
#

(im supposed to find Q, by the way)

#

i think its gonna be something to do with pressure right? cause they put that its open to the atmosphere

#

also for a) i have d = this thing

midnight plankBOT
#

@chilly cobalt Has your question been resolved?

chilly cobalt
#

<@&286206848099549185>

midnight plankBOT
#

@chilly cobalt Has your question been resolved?

midnight plankBOT
#
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#
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slim eagle
#

When deriving tangent equations for parabolas, why does the conversion using the slope form involve replacing ( a ) with (-a) (e.g. going from ( y^2 = 4ax ) to ( y^2 = -4ax )), while in the parametric form the conversion is achieved by substituting ( x ) with (-x)? What is the reason behind these different transformation approaches in the two forms of the tangent equations?

grand pondBOT
#

The modest AI

midnight plankBOT
#

@slim eagle Has your question been resolved?

midnight plankBOT
#
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#
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fleet sonnet
#

how would i do this question A parallelogram has sides of length 3x7 cm and 6x8cm and the acute angle between the sides is 48. find the lengths of the diagonals of the parallelogram

fleet sonnet
#

why did they give 3.8 but the . is in the middle

#

instead of 24

#

vectors?

slim eagle
#

nah nvm

fleet sonnet
#

idk how to do it

#

where do i start

slim eagle
#

draw a diagram first

#

of the parallelogram

#

and indicate what you know about is given in it

fleet sonnet
#

okay wait a bit

last slate
fleet sonnet
#

it should be like this right

slim eagle
#

do you know about the

#

parallelogram law of vector addition?

fleet sonnet
#

uhhhh

#

no

#

for vectors im still kinda new

#

but i know its like a+b

last slate
#

Thats why he is here lol.

fleet sonnet
#

is the vector

#

thats like the only thing i know

flat plinth
#

You could just do this with the cosine rule

slim eagle
fleet sonnet
slim eagle
#

magnitude of diagonal

fleet sonnet
slim eagle
#

R

obsidian wedge
#

it is the resultant

flat plinth
slim eagle
#

you can also derive it

#

if you want

fleet sonnet
#

i have no clue what that is

#

the question should be asking me to solve using cosine or sine law

obsidian wedge
#

Oh

#

So you're restricted to those two ideas

slim eagle
#

oh

#

then use cosine law

fleet sonnet
#

not rlly but

#

idk

flat plinth
#

It's simpler so it'd make sense

slim eagle
#

simple

fleet sonnet
#

ye i want a simple way

slim eagle
#

use cosine rule

fleet sonnet
#

how

#

do i draw a diagonal

#

through mid

slim eagle
#

its pretty basic

#

now

#

if you know the formula

fleet sonnet
#

i know cosine law formula

slim eagle
#

its just plugging in the values now

fleet sonnet
#

does the 48 get split into 24 and 24?

flat plinth
#

Hear me out

fleet sonnet
#

okay

flat plinth
#

Draw the other diagonal

fleet sonnet
#

oka y wait

flat plinth
#

And use the fact that the bottom is also 6x8

fleet sonnet
fleet sonnet
#

that would be the same with the other way right

flat plinth
#

Yep

obsidian wedge
# slim eagle

So there's (a-b)^2 instead in the cosine rule... The resultant seems more apt for this problem

flat plinth
#

Remember to root that

fleet sonnet
#

oh yeeee

#

root

obsidian wedge
#

You won't get it

flat plinth
#

Lol

#

Poor kid

obsidian wedge
#

Algebraic Simplification

fleet sonnet
#

ye i dont get it

obsidian wedge
#

It's alright

fleet sonnet
#

is that uni grade lvl

#

or like y10+

flat plinth
#

Dw abt it you'll notice it after getting familiar with the rule

obsidian wedge
#

No

flat plinth
obsidian wedge
#

It's algebra

fleet sonnet
obsidian wedge
#

The resultant is vector relatedhowever