Question

We look at finger tapping rates to see if ingesting caffeine increases average tap rate. The sample data for the 20 subjects (10 randomly getting caffeine and 10 with no caffeine) are given in the table below. To create a randomization distribution for this test, we assume the null hypothesis = ?,c is true, that is, there is no difference in average tap rate between the caffeine and no caffeine groups. Caffeine | 246 | 248 | 250 | 252 | 248 | 250 | 246 | 248 | 245 | 250 | mean=248.3 No caffeine 242 246 244248 247248242244246 242 mean 244.9 Create one randomization sample by randomly separating the 20 data values into two groups. Find the sample mean of each group, and calculate the difference, e -Xne, in the simulated sample means The difference in the simulated sample means is the absolute tolerance is +/-4.6 Click if you would like to Show Work for this question: Open Show Work

Answer 1