To compare the effectiveness of a media campaign - via radio ads, billboards, and ads on social media websites - to reduce the incidence of impaired driving, a police chief inspected data from 60 randomly chosen CheckStops at varying |ocations.Thirty of these were before the launch of this campaign, 30 were after the media campaign had been running for a months time. Use a = U.U5 for all calculations. For each CheckStop randomly chosen, the number of people charged with impaired driving was recorded: Prior: 2, 6, 5, 7, 6, 7, 6, 5, 5, 6, 1, 2, 7, 8, 9, 9, 7, 7, 8, 6, 6, 6, 5, 5, 11. 8, 9. 6. 4. 7; After: 8, 5, 7, 6, 1, 5, 7, 4, 5, 2, 5, 4, 5. 4. 5, 3, 4. 9, 2. 4. 4, 8. 4. 2. 4. 3. 4. 6: 1: 4; The data is found in the accompanying .csv data file. Download .csv file Let [13,,wa represent the mean number of impaired driving charges at a checkstop prior to the launch of the campaign, and u After be the mean number of impaired driving charges at a checkstop after the campaign has been running for a month. (a) Does this data suggest that the variation in the number of impaired driving charges before the campaign is equal to the variation in the number of impaired driving charges after the campaign has been running for a month? Apply Levene's test, find the value of the test statistic, using at least two decimals in your answer: Test Statistic = 3.1 a (b) Report the p-value of the test you ran in (a), using at least three decimals in your answer. P-value = 0.0025 E (6) Testing at a = 0.05, the null hypothesis in (a) would not be rejected. 3 The variation in the distribution of the number of impaired driving charges before the campaign is statistically the same as the variation distribution of the number of impaired driving charges after the campaign has been running for a month