A track coach claims that their new month long training program will reduce your mile time by 1 minute.You want to statistically test if the training program reduces your mile time by something other than 1minute. You decide to randomly select 8 people and record their mile times. You then have them follow thecoach’s training program for a month and record their mile times post training program. The times of thesubjects are listed below. Subject#1-8 Mile Time Before Training - Mile Time After Training 1: 9.5 - 9 2: 7 - 7.1 3: 6.7 - 5.2 4: 8.45-6.8 5: 6.2 - 6.2 6: 6.3 - 8 7: 7 - 5.5 8: 9 - 7.3 (a) What type of test is appropriate for this experiment set up? (b) State the appropriate hypotheses.(c) How many degrees of freedom are involved in this test? (d) Perform a test of the hypotheses from (a) using a significance level of 5%. Make sure to compute thetest statistic and P-value, and make a conclusion in context.
a)
t-test for two paired samples. This test applies when we have two samples that are dependent (paired or matched)
b)
null hypothesis:
new month long training program will reduce your mile time by 1 minute
Ho: μD = 1
alternative hypothsis:the training program reduces your mile time by something other than 1minute
Ha:μD1
This corresponds to a two-tailed test, for which a t-test for two paired samples be used.
c)
df=n-1=7
d)
Sample 1 | Sample 2 | Difference = Sample 1 - Sample 2 | |
9.5 | 9 | 0.5 | |
7 | 7.1 | -0.1 | |
6.7 | 5.2 | 1.5 | |
8.45 | 6.8 | 1.65 | |
6.2 | 6.2 | 0 | |
6.3 | 8 | -1.7 | |
7 | 5.5 | 1.5 | |
9 | 7.3 | 1.7 | |
Average | 7.519 | 6.888 | 0.631 |
St. Dev. | 1.277 | 1.263 | 1.2 |
n | 8 | 8 | 8 |
p=0.1803, and since p=0.1803≥0.05, it is concluded that the null hypothesis is not rejected.
so, there is not suffficient evidence to conclude that the training program reduces your mile time by something other than 1minute
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