S.O.S. Mathematics CyberBoard Forum Index S.O.S. Mathematics CyberBoard
 
 FAQFAQ   SearchSearch   MemberlistMemberlist   UsergroupsUsergroups   RegisterRegister   ProfileProfile   Log in to check your private messagesLog in to check your private messages   Log inLog in 
Sample Means of Sampling Distribution

 
Post new topic   Reply to topic    S.O.S. Mathematics CyberBoard Forum Index -> Probability and Statistics
View previous topic :: View next topic  
Author Message
brightdim
Member


Joined: 03 Mar 2006
Posts: 37

PostPosted: Mon, 2 Oct 2006 03:41:59 UTC    Post subject: Sample Means of Sampling Distribution Reply with quote

You write the population values {1, 3, 5, 7} on slips of paper and put them in a box. Then you randomly choose two slips of paper, with replacement. List all possible samples of size n = 2 and calculate the mean of each. These means form the sampling distribution of the sample means. Find the mean, variance, and standard deviation of the sample means.


I started out by making a table for the possible combinations of samples and their sample means and used that to make a probability distribution for the mean (x) of the sample means, their frequencies, and probability. I tried to use that to find the mean, variance, and standard deviation but I'm not getting the same answers as my book. Can anyone tell me how to solve this?
Back to top
View user's profile Send private message
Bilbo
Member of the 'S.O.S. Math' Hall of Fame


Joined: 14 Jan 2006
Posts: 690
Location: Yountville, California

PostPosted: Mon, 2 Oct 2006 04:35:56 UTC    Post subject: Re: Sample Means of Sampling Distribution Reply with quote

brightdim wrote:
You write the population values {1, 3, 5, 7} on slips of paper and put them in a box. Then you randomly choose two slips of paper, with replacement. List all possible samples of size n = 2 and calculate the mean of each. These means form the sampling distribution of the sample means. Find the mean, variance, and standard deviation of the sample means.


I started out by making a table for the possible combinations of samples and their sample means and used that to make a probability distribution for the mean (x) of the sample means, their frequencies, and probability. I tried to use that to find the mean, variance, and standard deviation but I'm not getting the same answers as my book. Can anyone tell me how to solve this?

The method you describe is correct, so there is a mistake in your calculations or the book's. How about showing your work and your and the book's answers?
Back to top
View user's profile Send private message
brightdim
Member


Joined: 03 Mar 2006
Posts: 37

PostPosted: Mon, 2 Oct 2006 16:27:14 UTC    Post subject: Reply with quote

The book listed the variance as 2.236 and the standard deviation as 1.495. My work and answers are below. I hope it's legible enough.

Sample --> Sample Mean
1,1 --> 1
1,3 --> 2
1,5 --> 3
1,7 --> 4
3,1 --> 2
3,3 --> 3
3,5 --> 4
3,7 --> 5
5,1 --> 3
5,3 --> 4
5,5 --> 5
5,7 --> 6
7,1 --> 4
7,3 --> 5
7,5 --> 6
7,7 --> 7

mean = 64/16 = 4

x --> P(x) --> (x-mean)^2, P(x)(x-mean)^2
1 --> .0625 --> 9 --> .5625
2 --> .1250 --> 4 --> .5000
3 --> .1875 --> 1 --> .1875
4 --> .2500 --> 0 --> 0
5 --> .1875 --> 1 --> .1875
6 --> .1250 --> 4 --> .5000
7 --> .0625 --> 9 --> .5625

variance = EP(x)(x-mean)^2 = 2.5
standard deviation = (2.5)^(1/2) = 1.581

[/list]
Back to top
View user's profile Send private message
Bilbo
Member of the 'S.O.S. Math' Hall of Fame


Joined: 14 Jan 2006
Posts: 690
Location: Yountville, California

PostPosted: Mon, 2 Oct 2006 17:17:09 UTC    Post subject: Reply with quote

brightdim wrote:
The book listed the variance as 2.236 and the standard deviation as 1.495. My work and answers are below. I hope it's legible enough.

Sample --> Sample Mean
1,1 --> 1
1,3 --> 2
1,5 --> 3
1,7 --> 4
3,1 --> 2
3,3 --> 3
3,5 --> 4
3,7 --> 5
5,1 --> 3
5,3 --> 4
5,5 --> 5
5,7 --> 6
7,1 --> 4
7,3 --> 5
7,5 --> 6
7,7 --> 7

mean = 64/16 = 4

x --> P(x) --> (x-mean)^2, P(x)(x-mean)^2
1 --> .0625 --> 9 --> .5625
2 --> .1250 --> 4 --> .5000
3 --> .1875 --> 1 --> .1875
4 --> .2500 --> 0 --> 0
5 --> .1875 --> 1 --> .1875
6 --> .1250 --> 4 --> .5000
7 --> .0625 --> 9 --> .5625

variance = EP(x)(x-mean)^2 = 2.5
standard deviation = (2.5)^(1/2) = 1.581

[/list]

Your calculations are correct. I don't know what the book is trying to do or if it is just an error.

Here is another way to look at it, with same answer. The variance of the population {1,3,5,7} is 5. The variance of the sample mean for a sample of size 2 is
Back to top
View user's profile Send private message
brightdim
Member


Joined: 03 Mar 2006
Posts: 37

PostPosted: Tue, 3 Oct 2006 16:58:10 UTC    Post subject: Reply with quote

how did you know the variance was five just from the sample?
Back to top
View user's profile Send private message
Bilbo
Member of the 'S.O.S. Math' Hall of Fame


Joined: 14 Jan 2006
Posts: 690
Location: Yountville, California

PostPosted: Tue, 3 Oct 2006 17:47:01 UTC    Post subject: Re: Sample Means of Sampling Distribution Reply with quote

brightdim wrote:
You write the population values {1, 3, 5, 7} on slips of paper and put them in a box.

Bilbo wrote:
The variance of the population {1,3,5,7} is 5.

I calculated the population variance from the 4 values, not from a sample.
Back to top
View user's profile Send private message
brightdim
Member


Joined: 03 Mar 2006
Posts: 37

PostPosted: Tue, 3 Oct 2006 18:21:17 UTC    Post subject: Reply with quote

just to clarify...to find the variance from the population, you can use the population variance equation: (E(x-mean)^2) / N,. And from there, I can divide it by the square root of the number in the sampe (here it would be 2) and that would also give me the standard deviation?

I'm sorry for so many questions, but I want to understand how the problem's worked rather than just have someone solve it for me.
Back to top
View user's profile Send private message
Bilbo
Member of the 'S.O.S. Math' Hall of Fame


Joined: 14 Jan 2006
Posts: 690
Location: Yountville, California

PostPosted: Tue, 3 Oct 2006 18:54:42 UTC    Post subject: Reply with quote

brightdim wrote:
just to clarify...to find the variance from the population, you can use the population variance equation: (E(x-mean)^2) / N,. And from there, I can divide it by the square root of the number in the sampe (here it would be 2) and that would also give me the standard deviation?

I'm sorry for so many questions, but I want to understand how the problem's worked rather than just have someone solve it for me.

Asking questions is good. But as you know, I sometimes misunderstand them.

The population variance is

The variance of the sample mean for a sample of size is

The standard deviation of the sample mean is the square root of the variance
Back to top
View user's profile Send private message
Display posts from previous:   
Post new topic   Reply to topic    S.O.S. Mathematics CyberBoard Forum Index -> Probability and Statistics All times are UTC
Page 1 of 1

 
Jump to:  
You cannot post new topics in this forum
You cannot reply to topics in this forum
You cannot edit your posts in this forum
You cannot delete your posts in this forum
You cannot vote in polls in this forum


Contact Us | S.O.S. Mathematics Homepage
Privacy Statement | Search the "old" CyberBoard

users online during the last hour
Powered by phpBB © 2001, 2005-2009 phpBB Group.
Installation and all modifications: H. Knaust
Copyright © 1999-2009 MathMedics, LLC. All rights reserved.
Math Medics, LLC. - P.O. Box 12395 - El Paso TX 79913 - USA