Use the traditional method of hypothesis testing to test the given claim about the means of two populations. Assume that two dependent samples have been randomly selected from normally distributed populations. A coach uses a new technique in training middle distance runners. The times for 8 different athletes to run 800 meters before and after this training are shown below. Athlete | A | B | C | D | E | F | G | H Time before training (seconds) | 116.7 | 115.1 | 118.8 | 113.3 | 112.4 | 116.8 | 119.2 | 114.4 Time after training (seconds) | 117.3 | 113.8 | 116.4 | 114.1 | 110.6 | 116.9 | 115.6 | 110.5 Using a 0.05 level of significance, test the claim that the training helps to improve the athletes' times for the 800 meters.
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The null hypothesis is that the mean time for the athletes before training is equal to the mean time after training: \(H_0: \mu_{\text{before}} = \mu_{\text{after}}\). The alternative hypothesis is that the mean time for the athletes after training is less than Show more…
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