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brightdim Member
Joined: 03 Mar 2006 Posts: 37
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Posted: Mon, 2 Oct 2006 03:41:59 UTC Post subject: Sample Means of Sampling Distribution |
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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? |
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Bilbo Member of the 'S.O.S. Math' Hall of Fame
Joined: 14 Jan 2006 Posts: 690 Location: Yountville, California
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Posted: Mon, 2 Oct 2006 04:35:56 UTC Post subject: Re: Sample Means of Sampling Distribution |
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| 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? |
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brightdim Member
Joined: 03 Mar 2006 Posts: 37
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Posted: Mon, 2 Oct 2006 16:27:14 UTC Post subject: |
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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
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Bilbo Member of the 'S.O.S. Math' Hall of Fame
Joined: 14 Jan 2006 Posts: 690 Location: Yountville, California
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Posted: Mon, 2 Oct 2006 17:17:09 UTC Post subject: |
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| 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
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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  |
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brightdim Member
Joined: 03 Mar 2006 Posts: 37
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Posted: Tue, 3 Oct 2006 16:58:10 UTC Post subject: |
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| how did you know the variance was five just from the sample? |
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Bilbo Member of the 'S.O.S. Math' Hall of Fame
Joined: 14 Jan 2006 Posts: 690 Location: Yountville, California
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Posted: Tue, 3 Oct 2006 17:47:01 UTC Post subject: Re: Sample Means of Sampling Distribution |
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| 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. |
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brightdim Member
Joined: 03 Mar 2006 Posts: 37
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Posted: Tue, 3 Oct 2006 18:21:17 UTC Post subject: |
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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. |
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Bilbo Member of the 'S.O.S. Math' Hall of Fame
Joined: 14 Jan 2006 Posts: 690 Location: Yountville, California
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Posted: Tue, 3 Oct 2006 18:54:42 UTC Post subject: |
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| 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  |
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