Not pictured: e) At the 0.10 level, can the company conclude that the mean assembly time for Process 1 exceeds that of Process 2?

V A computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Process 1 is the standard process used for several years, and Process 2 is an updated process hoped to bring a decrease in assembly time. Assembly times can vary considerably from worker to worker, and the company decides to eliminate this effect by selecting 8 workers at random and timing each worker on each assembly process. Half of the workers are chosen at table below. random to use Process 1 first, and the rest use Process 2 first. For each worker and each process, the assembly time (in minutes) is recorded, as shown in the Worker 2 3 4 5 6 8 Process 1 60 43 88 42 80 36 80 41 Process 2 77 34 72 37 83 41 62 42 Difference (Process 1 - Process 2) - 17 9 16 5 - 3 - 5 18 Send data to calculator Based on these data, can the company conclude, at the 0.10 level of significance, that the mean assembly time for Process 1 exceeds that of Process 2? Answer this question by performing a hypothesis test regarding u (which is u with a letter "d" subscript), the population mean difference in assembly times for the two processes. Assume that this population of differences (Process 1 minus Process 2) is normally distributed. Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified. (If necessary, consult a list of formulas.) (a) State the null hypothesis Ho and the alternative hypothesis H1 . O p Ho : I Y S H : 0 (b) Determine the type of test statistic to use. Type of test statistic: (Choose one) V 0=0 OSO 020 (c) Find the value of the test statistic. (Round to three or more decimal places.) 00 0