Based on these data, can the company conclude, at the 0.05 level of significance, that the mean assembly times for the two processes differ? Answer this question by performing a hypothesis test regarding µ, (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 two-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.) H, :0 The null hypothesis: H, :0 The alternative hypothesis: O=0 OSO The type of test statistic: (Choose one) OO The value of the test statistic: (Round to at least three decimal places.) The two critical values at the 0.05 level of significance: |and (Round to at least three decimal places.) At the 0.05 level, can the company conclude that the mean assembly times for the two processes differ? Yes No olo

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Based on these data, can the company conclude, at the 0.05 level of significance, that the mean assembly times for the two processes differ? 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 two-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places and round your answers as specified
in the table. (If necessary, consult a list of formulas.)
The null hypothesis:
H, :0
The alternative hypothesis:
H, :0
D=0
The type of test statistic:
(Choose one)
O#0
O<O
The value of the test statistic:
(Round to at least three
decimal places.)
?
The two critical values at the
0.05 level of significance:
||and||
(Round to at least three
decimal places.)
At the 0.05 level, can the company conclude that
the mean assembly times for the two processes
differ?
Yes
No
Transcribed Image Text:Based on these data, can the company conclude, at the 0.05 level of significance, that the mean assembly times for the two processes differ? 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 two-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.) The null hypothesis: H, :0 The alternative hypothesis: H, :0 D=0 The type of test statistic: (Choose one) O#0 O<O The value of the test statistic: (Round to at least three decimal places.) ? The two critical values at the 0.05 level of significance: ||and|| (Round to at least three decimal places.) At the 0.05 level, can the company conclude that the mean assembly times for the two processes differ? Yes No
A personal computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Assembly times can vary considerably fi
worker to worker, and the company decides to eliminate this effect by selecting a random sample of 8 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 ti
(in minutes) is recorded, as shown in Table 1.
Difference
Worker Process 1
Process 2 (Process 1 - Process 2)
1
49
17
32
2
47
40
7
3
53
26
27
4
41
39
89
81
8
6.
36
20
16
7
31
24
56
29
27
Table 1
Based on these data, can the company conclude, at the 0.05 level of significance, that the mean assembly times for the two processes differ? Answer this
question by performing a hypothesis test regarding ua (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 two-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places and round your answers as spec
in the table. (If necessary, consult a list of formulas.)
O p
H, : 0
The null hypothesis:
Transcribed Image Text:A personal computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Assembly times can vary considerably fi worker to worker, and the company decides to eliminate this effect by selecting a random sample of 8 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 ti (in minutes) is recorded, as shown in Table 1. Difference Worker Process 1 Process 2 (Process 1 - Process 2) 1 49 17 32 2 47 40 7 3 53 26 27 4 41 39 89 81 8 6. 36 20 16 7 31 24 56 29 27 Table 1 Based on these data, can the company conclude, at the 0.05 level of significance, that the mean assembly times for the two processes differ? Answer this question by performing a hypothesis test regarding ua (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 two-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places and round your answers as spec in the table. (If necessary, consult a list of formulas.) O p H, : 0 The null hypothesis:
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