#help with estimation stats cant get answer on internet
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For multiple independent normally distributed variables
You should have seen something in your lecture regarding their sum
my teacher didnt discuss this topic
yet he gave an assignment on this
Then now is a good time to talk about it
The variance is still the sum of the variances
So just to be clear
like the to mean is 54 for the given X
youre saying it'd be 45?
Well, hold on before we do anything
okay
Basically, my statement is as follows
Let $Y_1 \sim \mathcal{N}(\mu_1, \sigma_1^2), ..., Y_n \sim \mathcal{N}(\mu_n, \sigma_n^2)$
Rion
Then: $Y_1 + ... + Y_n \sim \mathcal{N}(\mu_1 + ... + \mu_n, \sigma_1^2 + ... + \sigma_n^2)$
Rion
๐ huh
(when Y_1, ..., Y_n are mutually independent)
For the proof, I refer you to this, which you can read now or later
In probability theory, calculation of the sum of normally distributed random variables is an instance of the arithmetic of random variables.
This is not to be confused with the sum of normal distributions which forms a mixture distribution.
But basically, we can exploit this property
By selecting the right Yi
okayy uh
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
Rion
If you agree with me, do determine their parameters
mean y1 is 9
y2 is -40
y3 is 85
variance is y1 4.5, y2 is -25 and y3 is 8.5
youre saying it'll be the same
No
then?
remember, for a rv X, then $Var(aX) = a^2 Var(X)$
Rion
OH
So that explains a lot of problems you were having
lemme try
Again, tell me the respective variances of Y1, Y2 and Y3
I don't have the same thing for Var(Y1)
Yeah, correct
V(Y1)=1.35
V(Y2)=25
V(Y3)=14.45
Now, we can proceed to compute the distribution of $X = Y_1 + Y_2 + Y_3$
Rion
We already know it is a normal distribution: what are its parameters?
u and sd
Ok for the mean
ye?
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
yes
thank you so muchh ๐ญ
mhm yeah
@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?
Hey, no worries
Well there's a rounding error here so I would suppose it may matter
but then what method did you use?
z score
When did you round the standard deviation?
upon calculating it?
or at the end computation of the erf?
did you round the standard deviation when you put it in the calculator?
no
or did you just straight up put the square root of 40.8
i uh took up to 3 points
but this is approximate
wait so still, what would be the z score for -4.697?
one sec
So basically, you compute:
erf((39 - 54)/sqrt(40.8)) - erf((24- 54)/sqrt(40.8))
in your calculator
๐ i dont have that in my calc
๐ญ
we are only allowed the basic scientific calc so
Ok sorry
not erf
but you know
the cdf of the standard normal distribution
the z score
ye?
So if you have F the z-score function
F((39 - 54)/sqrt(40.8)) - F((24- 54)/sqrt(40.8))
no ๐ญ
What do you even have on your calculator
sorry I'm asking because I dropped my calculator 4 years ago
the most basic shit

and what do you have for statistics
because i do code and AI and have no use for one
the literal most basic casio scientific calc
cos they wont allow us the advanced ones
oh wow ๐ญ
then let me reformulate the question
cant i just use the tables?
how do you compute P(X <= t) for X a standard normally distributed variable
with a calculator
we're taught with the tables so i have 0 idea
sure tyt
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
I would not blame you for not getting it right on this
I would blame your table and whoever came up with those bounds
yeah
๐ญ oh okay wow
even on the net tho, i could only get it as far to 3.9?
can i ask you for help on the second part tho?
I will answer in 15 but yes
ah okay thankss
@glass bane has given 1 rep to @still sigil
What is it that you do not get
oh nvm, i got it