A researcher wants ovels before and after productiviny evels are affected by watching a documentary on the dangers of capitalism. He measures a sample of n-31 O 38 O 37 QUESTION 17 wants to see if factory re and a to determine if they were affected. The researcher observed a test statistic of t-3.69. What would be his decision and workers productivity le MOST appropriate conclusion if testing at an alpha level - 0.057 O Retain Null Hypothesis. There was no significant change in workers' productivity after viewing the documentary. O Reject Null Hypothesis (HO). The factory workers productivity was significantly affected by viewing the documentary. O Reject Null Hypothesis. Factory workers increased their productivity after viewing the documentary. QUESTION 18 "A political scientist obtained recordings of election-night acceptance speeches of 16 newly elected representatives to the U.S. Congress and counted the number of minutes devoted to fiscal problems in these speeches. Half of the representatives were from rural districts while the other half were from urban districts. If she observed test statistics oft-2.03, what would be the correct decision and MOST appropriate conclusion if testing at the alpha -0.05 level?" O Reject Null Hypothesis (HO). There was a significant difference between urban and rural politicians' time talking about fiscal problems. O Reject Null Hypothesis (HO). The urban politicians spent more time talking about fiscal problems than the rural representatives. O Retain Null Hypothesis (HO): There is no evidence that the politicians spent a different amount of time speaking about fiscal issues. QUESTION 19 "An independent samples study exhibted the folowing sample characteristics: Sample 1, n-28 with a sum of squared deviations (SS1) -302. Sample 2, n-31 with a sum of squared deviations (SS2) = 257.8. Calculate the estimated standard error of differences between means for these samples. (Be sure to round to the second decimal place)"