A personal 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 a random sample of 10 workers and timing each worker on each assembly process. Half of the workers are chosen at 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 table below.Could not fit part d and e in the picture but part d is asking to find the critical value at the 0.05 level of significance and part e is asking at the 0.05 level, can the company conclude that the mean assembly time for Process 1 exceeds that of Process 2? Yes or no. Also please include the type of test statistic and the degree of freedom for the problem.

Worker 2 5 6 7 10 Process 1 77 34 56 63 36 55 76 87 54 65 Process 2 47 33 54 44 33 23 60 83 49 42 Difference (Process 1 - Process 2) 30 2 19 3 32 16 4 5 23 Send data to calculator Based on these data, can the company conclude, at the 0.05 level of significance, that the mean assembly time for Process 1 exceeds that of Process 27 Answer this question by performing a hypothesis test regarding H (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-talled test. Then complete the parts below. Carry your Intermediate computations to three or more decimal places and round your answers as spedfied. (If necessary, consult a list of formulas.) (a) State the null hypothesis Ho and the alternative hypothesis H. O P Ho : D X S P H :0 (b) Determine the type of test statistic to use. Type of test statistic: (Choose one) V 0=0 050 020 (c) Find the value of the test statistic. (Round to three or more decimal places.)