#help with estimation stats cant get answer on internet

156 messages ยท Page 1 of 1 (latest)

glass bane
#

kindly help, i cant find the answer on internet at all.

abstract veldtBOT
#
  1. Ask your question and show the work you've done so far. If you've posted a screenshot of a question, specify which part you need help with.
  2. Wait patiently for a helper to come along.
  3. Once someone helps you, say thank you and close the thread with:
    +close
    
  4. Feel free to nominate the person for helper of the week in #helper-nominations
  5. Do not ping the mods, unless someone is breaking the rules.
  6. If you're happy with the help you got here, and the server overall, you can contribute financially as well:
still sigil
#

You should have seen something in your lecture regarding their sum

glass bane
#

yet he gave an assignment on this

still sigil
#

Then now is a good time to talk about it

glass bane
#

okayy

#

so i did try but the variance is coming out negative?

still sigil
#

The variance is still the sum of the variances

glass bane
#

but acc to the X given

#

wont we use that?

still sigil
#

So just to be clear

glass bane
#

like the to mean is 54 for the given X

glass bane
still sigil
#

Well, hold on before we do anything

glass bane
#

okay

still sigil
#

Basically, my statement is as follows

#

Let $Y_1 \sim \mathcal{N}(\mu_1, \sigma_1^2), ..., Y_n \sim \mathcal{N}(\mu_n, \sigma_n^2)$

dense veldtBOT
still sigil
#

Then: $Y_1 + ... + Y_n \sim \mathcal{N}(\mu_1 + ... + \mu_n, \sigma_1^2 + ... + \sigma_n^2)$

dense veldtBOT
glass bane
#

๐Ÿ˜• huh

still sigil
#

(when Y_1, ..., Y_n are mutually independent)

#

For the proof, I refer you to this, which you can read now or later

#

But basically, we can exploit this property

#

By selecting the right Yi

glass bane
#

okayy uh

still sigil
#

My claim is as follows:
$Y_1 = 0.3 X_1$, $Y_2 = -X_2$, $Y_3 = 1.7 X_3$ are independent normally distribued random variables

dense veldtBOT
still sigil
#

If you agree with me, do determine their parameters

glass bane
#

yes

#

so yes i tried. the variance came out negative

#

and the mean was 54

still sigil
#

What variance?

#

For now, please tell me the mean and variance of Y1, Y2 and Y3

glass bane
#

variance is y1 4.5, y2 is -25 and y3 is 8.5

still sigil
#

For the means, I agree

#

for the variances, I don't

glass bane
#

youre saying it'll be the same

still sigil
#

No

glass bane
#

then?

still sigil
#

remember, for a rv X, then $Var(aX) = a^2 Var(X)$

dense veldtBOT
glass bane
#

OH

still sigil
#

So that explains a lot of problems you were having

glass bane
#

โ˜ ๏ธ i did see this but in that question it was just x1 +x2

#

so i forgot that

still sigil
#

Again, tell me the respective variances of Y1, Y2 and Y3

glass bane
#

y1 0.135
y2 25
y3 14.45

#

?

still sigil
#

I don't have the same thing for Var(Y1)

glass bane
#

aye

#

uh

#

sorry

#

1.35

still sigil
#

Yeah, correct

#

V(Y1)=1.35
V(Y2)=25
V(Y3)=14.45

#

Now, we can proceed to compute the distribution of $X = Y_1 + Y_2 + Y_3$

dense veldtBOT
still sigil
#

We already know it is a normal distribution: what are its parameters?

glass bane
#

u and sd

still sigil
#

Give me numbers

#

for the mean and the variance of X

glass bane
#

mean is 54

#

v is 40.8

#

sd is 6.387

still sigil
#

Ok for the mean

glass bane
#

ye?

still sigil
#

Ok for the variance too

#

Well, great

#

Now we have something to work with

#

You can compute P(24 <= X <= 39) now right?

#

Since you know the distribution of X

glass bane
#

yes

still sigil
#

Good

#

Then I'll let you do that

glass bane
#

thank you so muchh ๐Ÿ˜ญ

still sigil
#

For question b, you can employ a similar strategy

#

Considering X = X1 - 2 X2 - 3 X3

glass bane
#

mhm yeah

glass bane
#

@still sigil sorry to disturb again but i just had a lil ques, like my answer is 0.00964 and the answer given is 0.0094 so does that matter a lot or no?

still sigil
#

Well there's a rounding error here so I would suppose it may matter

#

but then what method did you use?

glass bane
#

z score

still sigil
#

When did you round the standard deviation?

#

upon calculating it?

#

or at the end computation of the erf?

glass bane
#

like p(x-u/sd <z < 39-54/sd) one

#

so p(-4.697 <z< -2.34)

still sigil
#

did you round the standard deviation when you put it in the calculator?

glass bane
#

no

still sigil
#

or did you just straight up put the square root of 40.8

glass bane
#

i uh took up to 3 points

still sigil
#

try instead of rounding, put square root of 40.8

#

because the 40.8 is exact

still sigil
glass bane
#

wait so still, what would be the z score for -4.697?

glass bane
still sigil
#

So basically, you compute:
erf((39 - 54)/sqrt(40.8)) - erf((24- 54)/sqrt(40.8))

#

in your calculator

glass bane
#

๐Ÿ’€ i dont have that in my calc

#

๐Ÿ˜ญ

#

we are only allowed the basic scientific calc so

still sigil
#

Ok sorry

#

not erf

#

but you know

#

the cdf of the standard normal distribution

#

the z score

glass bane
#

ye?

still sigil
#

So if you have F the z-score function

#

F((39 - 54)/sqrt(40.8)) - F((24- 54)/sqrt(40.8))

glass bane
#

no ๐Ÿ˜ญ

still sigil
#

What do you even have on your calculator

#

sorry I'm asking because I dropped my calculator 4 years ago

glass bane
still sigil
still sigil
#

and what do you have for statistics

still sigil
glass bane
#

cos they wont allow us the advanced ones

glass bane
still sigil
#

then let me reformulate the question

glass bane
#

cant i just use the tables?

still sigil
#

how do you compute P(X <= t) for X a standard normally distributed variable

#

with a calculator

glass bane
still sigil
#

Ok well... that sucks

#

do you have a picture of your table

glass bane
#

ye

#

one sec

still sigil
#

sure tyt

glass bane
#

is that even readable

still sigil
#

yeah that table doesn't expand very far

#

doesn't even cover the value we want P(Z <= -4.6967) so we're forced to round it to 0

still sigil
#

I would blame your table and whoever came up with those bounds

glass bane
glass bane
#

can i ask you for help on the second part tho?

still sigil
#

I will answer in 15 but yes

glass bane
unborn flareBOT
#

@glass bane has given 1 rep to @still sigil

glass bane
#

because i dont get that second part at all

#

damn 2am ๐Ÿ’€

#

ima go sleep

still sigil
glass bane