a. The students noticed that everyone had different answers. If you randomly sample over and over from any population, with the same sample size, will the results ever be the same? b. The students wondered whose results were right. How can they find out what the population mean and standard deviation are? c. Check the mean and standard deviation of the means. How do these values compare to the students' individual scores? d. Is the distribution of the means a sampling distribution? e. Check the sampling error for students 3, 7, and 14. f. Compare the standard deviation of the sample of the 20 means. Is that equal to the standard deviation from student 3 divided by the square of the sample size? How about for student 7, or 14?

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3. Central Limit Theorem
Twenty students from a statistics class each collected a random sample of times on how long it
took students to get to class from their homes. All the sample sizes were 30. The resulting
means are listed.
Student
Mean
Std. Dev.
Student
Mean
Std. Dev.
1
22
3.7
11
27
1.4
2
31
4.6
12
24
2.2
3
18
2.4
13
14
3.1
4
27
1.9
14
29
2.4
5
20
3.0
15
37
2.8
17
26
2.8
16
23
2.7
7
1.9
17
26
1.8
8
34
4.2
18
21
2.0
9
23
2.6
19
30
2.2
10
29
2.1
20
29
2.8
Transcribed Image Text:3. Central Limit Theorem Twenty students from a statistics class each collected a random sample of times on how long it took students to get to class from their homes. All the sample sizes were 30. The resulting means are listed. Student Mean Std. Dev. Student Mean Std. Dev. 1 22 3.7 11 27 1.4 2 31 4.6 12 24 2.2 3 18 2.4 13 14 3.1 4 27 1.9 14 29 2.4 5 20 3.0 15 37 2.8 17 26 2.8 16 23 2.7 7 1.9 17 26 1.8 8 34 4.2 18 21 2.0 9 23 2.6 19 30 2.2 10 29 2.1 20 29 2.8
a. The students noticed that everyone had different answers. If you randomly sample over
and over from any population, with the same sample size, will the results ever be the same?
b. The students wondered whose results were right. How can they find out what the
population mean and standard deviation are?
c. Check the mean and standard deviation of the means. How do these values compare to the
students' individual scores?
d. Is the distribution of the means a sampling distribution?
e. Check the sampling error for students 3, 7, and 14.
f. Compare the standard deviation of the sample of the 20 means. Is that equal to the
standard deviation from student 3 divided by the square of the sample size? How about for
student 7, or 14?
Transcribed Image Text:a. The students noticed that everyone had different answers. If you randomly sample over and over from any population, with the same sample size, will the results ever be the same? b. The students wondered whose results were right. How can they find out what the population mean and standard deviation are? c. Check the mean and standard deviation of the means. How do these values compare to the students' individual scores? d. Is the distribution of the means a sampling distribution? e. Check the sampling error for students 3, 7, and 14. f. Compare the standard deviation of the sample of the 20 means. Is that equal to the standard deviation from student 3 divided by the square of the sample size? How about for student 7, or 14?
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