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 ```A company that makes an athletic shoe designed for basketball has stated in its advertisements that the shoe increases the jumping ability of players who wear it. The general manager of a professional team has conducted a test in which each player's vertical leap is measured with current shoe versus the new model, with the data as listed in file Xr11093. At the 0.05 level of significance, evaluate the claim that has been made by the shoe company. identify and interpret the p-value for the test. (Hypothesis test question) Data: Player 1 2 3 4 5 6 7 8 9 10 HtCurrent 18.9 28.8 25.1 25.4 25.0 26.0 26.2 28.7 29.1 28.9 HtNew 19.2 30.6 24.0 25.1 24.5 26.0 26.8 31.3 30.2 28.6```
 ```Hello again, wta2k, To answer this question we need to do a repeated measures t-test (also called a correlated t-test or a paired samples t-test). We are asking whether the change in the height is likely to have arisen by chance. There is a calculator here: http://www.fon.hum.uva.nl/Service/Statistics/Student_t_Test.html This tells us that: t = -1.173, DF = 9, p <= 0.2716 Given that the p value, that is, the probability of the difference having occurred, if the null hypothesis (that the shoe is not an improvement) is greater than 0.05 (your predetermined cutoff), we cannot accept the claim that the shoe company is making. (We can't really reject it, because it may be that we were unlucky, or that we didn't have a large enough sample.) Search strategy: I went to this page, which I use because it has a useful collection of links: http://members.aol.com/johnp71/javastat.html . Please feel free to request clarification, if you feel this is needed. jeremymiles-ga```