Based on these data, can the company conclude, at the 0.10 level of significance, that the mean assembly time for Process 2 exceeds that of Process 17 a this question by performing a hypothesis test regarding H, (which is with a letter "d" subscript), the population mean difference in assembly times for 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 specified. (If necessary, consult a list of formulas.) (a) State the null hypothesis H, and the alternative hypothesis H₁. H₂:0 H₁:0 (b) Determine the type of test statistic to use. Type of test statistic: (Choose one) ▼ (c) Find the value of the test statistic. (Round to three or more decimal places.) 0 (d) Find the critical value at the 0.10 level of significance. (Round to three or more decimal places.) 0 (e) At the 0.10 level, can the company conclude that the mean assembly time for Process 2 exceeds that of Process 1? H X 8 a s 0-0 00 X P ca 020 DD D<0 CO S *

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Based on these data, can the company conclude, at the 0.10 level of significance, that the mean assembly time for Process 2 exceeds that of Process 17 Answer
this question by performing a hypothesis test regarding H (which is μ 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 H, and the alternative hypothesis 1₁.
H₂O
(b) Determine the type of test statistic to use.
Type of test statistic: (Choose one)
(c) Find the value of the test statistic. (Round to three or more decimal places.)
(d) Find the critical value at the 0.10 level of significance. (Round to three or more decimal places.)
0
(e) At the 0.10 level, can the company conclude that the mean assembly time for Process 2
exceeds that of Process 17
Yes No
P
1x
a
US
0-0 050
X
Р
ê
8
DO
G
020
DD <D >0
Espar
Transcribed Image Text:Based on these data, can the company conclude, at the 0.10 level of significance, that the mean assembly time for Process 2 exceeds that of Process 17 Answer this question by performing a hypothesis test regarding H (which is μ 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 H, and the alternative hypothesis 1₁. H₂O (b) Determine the type of test statistic to use. Type of test statistic: (Choose one) (c) Find the value of the test statistic. (Round to three or more decimal places.) (d) Find the critical value at the 0.10 level of significance. (Round to three or more decimal places.) 0 (e) At the 0.10 level, can the company conclude that the mean assembly time for Process 2 exceeds that of Process 17 Yes No P 1x a US 0-0 050 X Р ê 8 DO G 020 DD <D >0 Espar
A computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Process 1 is an updated process hoped to bring a
decrease in assembly time, while Process 2 is the standard process used for several years. Assembly times can vary considerably from worker to worker, and the
company decides to eliminate this effect by selecting 10 workers at random 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.
Worker
Process 1
Process 2
Difference
(Process 1-Process 2)
Send data to calculator
1
67
2
3
73 84
4
-8 -23 -20
75 96 104 85
5
82 84
105
-3 -21
6
82
92
-10
7 8
84
63
78 68
9 10
72
79
6 -5 -7
39
40
7
-1
Based on these data, can the company conclude, at the 0.10 level of significance, that the mean assembly time for Process 2 exceeds that of Process 17 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-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.)
Transcribed Image Text:A computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Process 1 is an updated process hoped to bring a decrease in assembly time, while Process 2 is the standard process used for several years. Assembly times can vary considerably from worker to worker, and the company decides to eliminate this effect by selecting 10 workers at random 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. Worker Process 1 Process 2 Difference (Process 1-Process 2) Send data to calculator 1 67 2 3 73 84 4 -8 -23 -20 75 96 104 85 5 82 84 105 -3 -21 6 82 92 -10 7 8 84 63 78 68 9 10 72 79 6 -5 -7 39 40 7 -1 Based on these data, can the company conclude, at the 0.10 level of significance, that the mean assembly time for Process 2 exceeds that of Process 17 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-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.)
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