Stats help required
If I have a set of two number \(\{a,b\}\), what is the mean and what is the standard deviation of those?
a+b/2
Sqrt[(Sum(Xi-(a+b/2)/2)]
\[\frac1{250}\cdot\sum_{i=1}^{250}x_i=15.6\]\[\frac1{250}\cdot\left(100\cdot\frac1{100}\sum_{i=1}^{100}x_i+\sum_{i=101}^{250}x_i\right)=15.6\]The first addend in parenthesis is \(100\cdot15=1500\). Name the second addend \(M\) and find it. This will be the mean you need to find.
I Couldn't get a word.
Step by Step would be easier.
Ask a concrete question, please.
You have a set of numbers \(\{x_1,x_2,\ldots,x_{250}\}\). You know that\[\frac1{250}\cdot\sum_{i=1}^{250}x_i=15.6\] and\[\frac1{100}\cdot\sum_{i=1}^{100}x_i=15\]The question is: what equals the sum?\[\frac1{150}\cdot\sum_{i=101}^{250}x_i\]
Okay i got the first two equations but the last one i couldn't get.
Are we subtracting 100 items out of it?
To find a deviation you need to have a mean of the second group. The last sum is the mean of the second group.
Actually the set \(\{x_1,\ldots,x_{250}\}\) is divided into 2 groups: \(\{x_1,\ldots,x_{100}\}\) and \(\{x_{101},\ldots,x_{250}\}\).
Got it (y).
What next?
Now try to do the same thing with deviation. \[\sum_{i=1}^{100}(x_i-15)^2=\sum_{i=1}^{100}x_i^2-30\sum_{i=1}^{100}x_i-1500=9\]\[\sum_{i=1}^{250}(x_i-15,6)^2=\ldots=13.44^2\]Find the value of \(\sum_{i=101}^{250}x_i^2\) and then try to get the value of \(\sum_{i=101}^{250}(x_i-M)^2\), where \(M\) is the mean of the second group. Did you get it? Actually, this method is a bit complicated. There may be an easier method.
I guess i would get it if you would explain me the general forms and then let me do some work and help me step by step.
Ok. Lets make an example which will look like your problem. Lets take a concrete set \(\{1,3,5,9\}\). And now divide it into 2 groups: \(\{1,3\}\) and \(\{5,9\}\). Find mean and standard deviation of all of these 3 groups.
I know i am just terrible. :/
I'll do this one later.
Thanks anyways.
If you really want to solve this, and not just to get an answer, think about it by yourself. It is not so difficult task. It is a pure math problem and not stats. Hope you will. Anyway you can ask any question anytime. Best wishes.
@klimenkov I have another question Can i post that now?
Sure.
Gimme a sec
This one.
Variance and standard deviation are the same?
No SD=Sqrt(Variance)
Tell me honestly: do you need just answers?
No
Now please explain
If you really want to get this, you have to get what is mean and variance. What is mean for \(\{x_1,\ldots,x_n\}\) ?
\[Mean=\frac{ \sum_{i=1}^{n} X_i}{ n }\]
\[Variance=\frac{ \sum_{i=1}^{n}(X_i-X(mean) )^2}{n}\]
@klimenkov Right?
Yes. That is right.
Now you have\[\frac1n\sum_{i=1}^n x_i=12, \quad\frac1n\sum_{i=1}^n y_i=16\]Find\[\frac1n\sum_{i=1}^n (2x_i-3y_i+6)\]
-18 right?
76 for the b part?
6 for part c?
Yes.
For part d its 2-(5n/6)
Now for the variance part, \[\ 2=\frac{ \sum_{i=1}^{n}(X_i-X(mean) ) }{ n }\] \[\ 1=\frac{ \sum_{i=1}^{n}(Y_i-Y(mean) ) }{ n }\]
Write the answer for d), please.
The answer for d is 2-5n/6
No No wait.
The answer to d is 1.167
@klimenkov Right?
Yes.
Now Variance?
Did i draw the equations correctly?
Yes.
So here we know mean of x and y so should we replace it by 12 and 16 in the equations?
You have to find the sum\[\sum_{i=1}^n (2x_i-3y_i+6-(-18))^2\]using variances that you have.
Where did 18 coming from now?
This is the mean of \(2x_i-3y_i+6\).
How do we get that?
You count this by yourself. Look higher: -18 right?
I am not getting it :/
\[\text{variance}=\frac1n\sum_{i=1}^n(x_i-\text{mean}(x_i))\]Now you put \(2x_i-3y_i+6\) instead of \(x_i\).
How are you calculating the mean here was my question
Because we have mean x as 12 and mean y as 16
\(\text{mean}(2x_i-3y_i+6)=-18\). Look higher you did it by yourself. There was a formula how to get it.
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