Ken and Billy both live in the same neighborhood and work at the university. Ken drives to work, while Billy rides his bicycle. As a budding statistician, you have been asked to settle an argument. Ken believes that more often than not, his commuting time via his drive is less than Billy's. Billy believes that this is not so, due to traffic volume and traffic lights. Over the period of one month, the statistician randomly selects eight days for Ken and eight days for Billy. On each day, they will be asked to measure, to the nearest tenth of a minute, the amount of time it takes them to get from their home to the university campus. The commuting times given on each randomly chosen day for each person are as follows: Ken: 9.4, 12, 6.5, 14.7, 6.3, 18.2, 17.8, 21.6 Billy: 20.8, 19.9, 20.7, 20, 17.2, 17, 17.2, 20 Carry out a statistical test, the results of which will be used to settle Ken and Billy's argument. (a) Using the technology available to you, visually and statistically inspect this data. From this, construct the most appropriate statistical hypotheses. (b) Find the value of the test statistic for this test, use at least one decimal in your answer. (c) Determine the P-value of your statistical test and report it to at least three decimal places. (d) At alpha = 0.05, this data indicates that you will ? the null hypothesis. You can tell Ken that his commute time is ? Billy's.