Question: please answer this question :) [4] 1. A study is done to determine whether switching laptops to use butterfly-style keyboards (where keys are almost flat
[4] 1. A study is done to determine whether switching laptops to use "butterfly"-style keyboards (where keys are almost flat and sink only slightly when pressed) affects the number of words typed per minute. A pool of 10 long-time laptop users is split at random into two groups of size n=5. One group uses a traditional keyboard for a typing exercise, and the other group carries out the same typing exercise using a butterfly keyboard. The results are collected and shown below: Classic Keyboard WPM: 41, 70, 25, 63, 58 (mean 51.4, sample sd 18.23) Butterfly Keyboard WPM: 36, 62, 20, 58, 41 (mean 43.4, sample sd 17.08) 4 (a) Carry out a two-tailed, independent samples t-test to compare the words per minute typed by the two groups. State your hypotheses and please show how to determine the t-statistic and the appropriate degrees of freedom for the t-distribution in this case (yes, using that complicated formula, just this once). You may assume the p-value for the test is 0.4944; write up an appropriate conclusion for the test. [4] 1. A study is done to determine whether switching laptops to use "butterfly"-style keyboards (where keys are almost flat and sink only slightly when pressed) affects the number of words typed per minute. A pool of 10 long-time laptop users is split at random into two groups of size n=5. One group uses a traditional keyboard for a typing exercise, and the other group carries out the same typing exercise using a butterfly keyboard. The results are collected and shown below: Classic Keyboard WPM: 41, 70, 25, 63, 58 (mean 51.4, sample sd 18.23) Butterfly Keyboard WPM: 36, 62, 20, 58, 41 (mean 43.4, sample sd 17.08) 4 (a) Carry out a two-tailed, independent samples t-test to compare the words per minute typed by the two groups. State your hypotheses and please show how to determine the t-statistic and the appropriate degrees of freedom for the t-distribution in this case (yes, using that complicated formula, just this once). You may assume the p-value for the test is 0.4944; write up an appropriate conclusion for the test
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