One major factor in low productivity is the amount of time wasted by workers. Wasted time could include things such as time spent waiting for more material and equipment, cleaning up mistakes, and performing any other activity not related to production. In a project designed to examine this problem, a consultant took a survey of 200 workers in companies that were classified as successful (on the basis of their latest annual profits) and another 200 workers from unsuccessful companies. The amount of time (in hours) wasted during a standard 40-hour workweek was recorded for each worker. Do these data provide enough evidence at the 5% significance level to infer that the amount of time wasted in unsuccessful firms exceeds that of successful ones? To answer this question,the consultant ran several analyses and provided the out below.Note thatnone of these analysesmight be correct.

Based on the information provided in the question, what is the correct decision?

1) Do not reject H0

2) Reject H0

3) There is not enough information to solve the problem.

4) Reject H0 and H1

t-Test: Paired Two Sample for Means F-Test Two-Sample for Variances Successful Unsuccessful Mean 5.0165 7.802 Successful Unsuccessful Variance 1.940681156 9.571252261 Mean 5.0165 7.802 Observations 200 200 Variance 1.940681156 9.571252261 Pearson Correlation -0.087338461 Observations 200 200 Hypothesized Mean 0 Df 199 199 df 199 F 0.202761468 t Stat -2. 12483435 P(F