Confidence intervals, which formula to use

  • Thread starter Thread starter wtmoore
  • Start date Start date
  • Tags Tags
    Formula intervals
wtmoore
Messages
20
Reaction score
0
I have created 1000 random samples of size 10, where X~N(8,2). For each sample I have calculated the sample mean, sample variance, (sigma1)2 and (sigma2)2.

I want to find a 95% confidence interval for the mean assuming the population variance is known, and a 95% confidence interval for the mean assuming the population variance is unknown.

What formula do I use for these?

I think, given that I am sampling from a normal distribution, for the known confidence interval, would be:

(X1bar X2bar) +- za/2s.e.(X1bar-X2bar) given that the samples are sufficiently small enough.

For unknown, I think it's:

(X1bar X2bar) +- t((n1+n2-2),a/2) s.e(X1bar-X2bar) <<s.e has a tilda over it, also this formula assumes the sigmas are the same.

Is this correct?
 
Physics news on Phys.org
wtmoore said:
I have created 1000 random samples of size 10, where X~N(8,2). For each sample I have calculated the sample mean, sample variance, (sigma1)2 and (sigma2)2.

I want to find a 95% confidence interval for the mean assuming the population variance is known, and a 95% confidence interval for the mean assuming the population variance is unknown.

I don't understand why your notation involves two different means and variances when you have one population N(8,2) and 1000 samples of 10 realizations each. Where does the 1,2 come from? Are they the lower and upper bounds of the confidence interval?

(You should look at https://www.physicsforums.com/showthread.php?t=546968 instead of using the SUB tag.)

Can you explain your objective in doing this calculation. As I understand your post, you already know the population mean and variance. So why are you seeking a confidence interval for it? Is this an experiment in testing the theory of confidence intervals?
 
Stephen Tashi said:
I don't understand why your notation involves two different means and variances when you have one population N(8,2) and 1000 samples of 10 realizations each. Where does the 1,2 come from? Are they the lower and upper bounds of the confidence interval?

(You should look at https://www.physicsforums.com/showthread.php?t=546968 instead of using the SUB tag.)

Can you explain your objective in doing this calculation. As I understand your post, you already know the population mean and variance. So why are you seeking a confidence interval for it? Is this an experiment in testing the theory of confidence intervals?

It's a tutorial question for a class I'm taking. It's basically revision, I will write out the formulas for the two sigmas. My understanding was they they were the population variances, but, I meant to say that the sigmas have hats on them for estimated, so I think they are sample variances that are estimates for the population.

both sigmas have a hat on for estimated
σ12 = [sum(from i=1 to n)(xi-xbar)2]/n

σ22 = same but divided by n+1(Will have a look at LaTeX, usually I get some of it to work and when it comes to summations and things I can't grasp it, which is weird as I'm quite good at coding in R, maple, etc)
 
Last edited:
wtmoore said:
It's a tutorial question for a class I'm taking. It's basically revision
Revison? - do you mean "review"?

I think they are sample variances that are estimates for the population.
The formulas are estimators of the population variance. They are also two alternative definitions for "sample variance". Textbooks differ as to which definition they use.

That clears up the definition of the sigmas, but your statement of the assignment is still incoherent. For an assigned problem, its best to obey the format of the homework section of the forum and state the exercise exactly as it was assigned. Can you do that?
 
I can, but it's not homework, it is revision for exams, they are extra problems we can choose to do which will help us in exams.

The question is stated as it is, but instead of saying I wish to find, it says, find, I haven't left any information out, and have asked it in the first person instead.
 
Namaste & G'day Postulate: A strongly-knit team wins on average over a less knit one Fundamentals: - Two teams face off with 4 players each - A polo team consists of players that each have assigned to them a measure of their ability (called a "Handicap" - 10 is highest, -2 lowest) I attempted to measure close-knitness of a team in terms of standard deviation (SD) of handicaps of the players. Failure: It turns out that, more often than, a team with a higher SD wins. In my language, that...
Hi all, I've been a roulette player for more than 10 years (although I took time off here and there) and it's only now that I'm trying to understand the physics of the game. Basically my strategy in roulette is to divide the wheel roughly into two halves (let's call them A and B). My theory is that in roulette there will invariably be variance. In other words, if A comes up 5 times in a row, B will be due to come up soon. However I have been proven wrong many times, and I have seen some...

Similar threads

Replies
1
Views
1K
Replies
3
Views
1K
Replies
22
Views
3K
Replies
4
Views
1K
Replies
7
Views
2K
Replies
18
Views
4K
Replies
10
Views
2K
Back
Top