2. Training hours are essential for employees, but managers were complaining that their entire team was training at the same time and therefore productivity was down. The CEO wanted to see if there was any truth to this, so she surveyed the amount of training hours each employee had in a week's time and then asked the managers how many employees they felt out of their team of 100 were at training for a specific number of minutes that week. Conduct a Chi-Square hypothesis test with a 1% level of significance. Minutes in Training Observed (0) Expected (E) O -E (0 - E)2 (0 - E)2 E 30 70 62 60 59 48 90 60 52 120 15 10 a) Record the null and alternative hypotheses. b) Find the critical value and significance level, a c) Compute the test statistic, X2 d) Draw a diagram and interpret whether to fail to reject or reject the null hypothesis. e) Write a conclusion about the hypothesis test