A personal computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Assembly times can vary considerably from worker to worker, and the company decides to eliminate this effect by selecting 12workers randomly and timing each worker in each assembly process. Half of the workers are randomly chosen to use Process 1 first, and the rest use Process 2 first. The assembly time (in minutes) of each worker and each process is recorded, as shown in the table below. Worker process 1 process 2 Difference (Process 1 - Process 2) Send data to calculator V (to) 1 71 ho 79 2 52 دی -8 0 49 52 43 6 4 5 41 58 fifty 76 40 6 49 -17 10 27 Formulate the null hypothesish and the alternative hypothesish 7 89 1' 83 6 8 70 74 9 84 -4 17 н 67 X Based on these data, can the company conclude, at the significance level of0.05, that the mean assembly times for the two processes differ? Answer this question by performing a hypothesis test regardingu (what isμwith a letter "d" subscript), the population mean of the difference in assembly times for the two processes. Assume that this population of differences (Process 1 minus Process 2) follows a normal distribution. 10 Perform a two-tailed test. Then complete the parts below. Carry out intermediate calculations to three or more decimal places and round your answers as indicated. (If necessary, you can refer to a list of formulas.) 56 O S eleven 12 54 67 35 61 twenty-one 2 65 Р P

StarHortons Cup, the coffee company, wants to determine how long caffeine lasts throughout the day when individuals have a cup of one of their 3 types of coffee at 9am. They will then measure the levels of caffeine in these individuals’ systems at 10am, 12am, 2pm, 4pm, 6pm and 8pm. They want to have at least 20 observations per group. How many separate/distinct groups of participants are needed if they want to conduct this experiment using a mixed-measures ANOVA?   18 6 20 3

The owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. Sales can vary considerably depending on the day of the week and the season of the year, so she decides to eliminate such effects by making sure to record each store's sales on the same  8  days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. Day 1 2 3 4 5 6 7 8 Store 1 889 699 534 398 432 213 252 929 Store 2 479 525 252 364 160 32 234 632 Difference(Store 1 - Store 2) 410 174 282 34 272 181 18 297 Send data to calculator   Based on these data, can the owner conclude, at the 0.10  level of significance, that the mean daily sales of the two stores differ? Answer this question by performing a hypothesis test regarding  μd  (which is  μ…

In IBM SPSS, what does clicking on this icon do?