80
|
89
|
47
|
73
|
50
|
36
|
66
|
69
|
74
|
56
|
70
|
77
|
99
|
101
|
76
|
|
Determine the test statistic.
Determine the P-value.
A group of students estimated the length of one minute without reference to a watch or clock, and the times(seconds) are listed below. Use a 0.01 significance level to test the claim that these times are from a population with a mean equal to 60 seconds. Does it appear that students are reasonably good at estimating one minute?
75
90
45
74
48
33
70
75
78
54
70
82
105
100
76
=/=
Determine the test statistic
(round to two decimal places)
Determine the P-Value.
(round to three decimal places as needed)
State the final conclusion that addresses the original claim.
(reject/fail to reject) H0. There is (sufficient/not sufficient) evidence to conclude that the original claim that the mean of the population of estimates is 60 (is/is not) correct. It (appears/does not appear) that, as a group, the students are reasonably good at estimating one minute.
significance level to test the claim that these times are from a population with a mean equal to 60 seconds. Does it appear that students are reasonably good at estimating one minute?
A group of students estimated the length of one minute without reference to a watch or clock, and the times (seconds) are listed below. Use a 0.05 significance level to test the claim that these times are from a population with a mean equal to 60 seconds. Does it appear that students are reasonably good at estimating one minute?
66, 79, 39, 65, 41, 26, 58, 62, 68, 47, 63 73, 91, 87, 68.
1. Determine the test statistic
2. P-value
3. State the final conclusion that addresses the original claim.
significance level to test the claim that these times are from a population with a mean equal to 60 seconds. Does it appear that students are reasonably good at estimating one minute?
76
|
92
|
51
|
77
|
51
|
34
|
70
|
72
|
77
|
54
|
75
|
80
|
99
|
97
|
71
|
|
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