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?
72 |
81 |
39 |
68 |
40 |
25 |
58 |
64 |
63 |
50 |
63 |
73 |
94 |
88 |
68 |
This is the appropriate sample data
What are the null and alternative hypotheses?
A.
H0: μ=60 seconds
H1: μ> 60 seconds
B.
H0: μ≠ 60 seconds
H1: μ= 60 seconds
C.
H0: μ= 60 seconds
H1: μ< 60 seconds
D.
H0: μ= 60 seconds
H1: μ≠ 60 seconds
Determine the test statistic.
(Round to two decimal places as needed.)
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 seconds (is/is not correct). It (appears/does not appear) that, as a group, the students are reasonably good at estimating one minute.
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: μ = 60
Alternative Hypothesis, Ha: μ ≠ 60
Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (63.0667 - 60)/(18.6795/sqrt(15))
t = 0.64
P-value Approach
P-value = 0.532
As P-value >= 0.05, fail to reject null hypothesis.
Fail to Reject) H0. There is (not sufficient) evidence to conclude
that the original claim that the mean of the population of
estimates is 60 seconds (is not correct). It (does not appear)
that, as a group, the students are reasonably good at estimating
one minute
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