please help with these questions, thank you Q5:A manufacturer wishes to estimate, within 13 hours, the true mean lifetime of light bulbs. If she wishes to be 97% confident, how many light bulbs should be sampled? The population standard deviation is known to be 85 hours.

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Chapter1: Starting With Matlab
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please help with these questions, thank you

Q5:A manufacturer wishes to estimate, within 13 hours, the true mean lifetime of light bulbs. If she wishes to be 97% confident, how many light bulbs should be sampled? The population standard deviation is known to be 85 hours.

Q3. A sales manager wants to know if the sales productivity of her east region is greater than
the sales productivity of her west regions. The results from a sample of 12 salespersons
from the east region and 16 salespersons from the west region are shown in Table 3.
Given the significance level is 0.05.
Q4. A company that sells a tutorial course for the SAT wants to advertise that its course
significantly improves SAT scores. It randomly selects 15 students and lets them take the
SAT. Then they take the tutoring course, and then they take the SAT examination again.
The SAT results are summarized in Table 4. Given the significance level is 0.05.
Transcribed Image Text:Q3. A sales manager wants to know if the sales productivity of her east region is greater than the sales productivity of her west regions. The results from a sample of 12 salespersons from the east region and 16 salespersons from the west region are shown in Table 3. Given the significance level is 0.05. Q4. A company that sells a tutorial course for the SAT wants to advertise that its course significantly improves SAT scores. It randomly selects 15 students and lets them take the SAT. Then they take the tutoring course, and then they take the SAT examination again. The SAT results are summarized in Table 4. Given the significance level is 0.05.
1
Q3
Q4
2 East
3.
Test
Before
After
65. 5
72.1
480
475
4
83
52. 3
517
531
73. 2
63. 3
621
614
6
83. 1
63. 3
550
570
7
71.1
79. 9
489
517
76. 8
59. 7
499
516
9.
69. 9
74. 8
503
493
10
86. 8
78. 2
374
390
11
74. 9
75. 9
501
531
12
70. 1
67.9
540
537
13
60. 5
78
600
633
14
72. 3
60
577
598
15
63. 1
528
528
16
44. 8
510
512
17
56. 4
493
507
18
65. 9
Transcribed Image Text:1 Q3 Q4 2 East 3. Test Before After 65. 5 72.1 480 475 4 83 52. 3 517 531 73. 2 63. 3 621 614 6 83. 1 63. 3 550 570 7 71.1 79. 9 489 517 76. 8 59. 7 499 516 9. 69. 9 74. 8 503 493 10 86. 8 78. 2 374 390 11 74. 9 75. 9 501 531 12 70. 1 67.9 540 537 13 60. 5 78 600 633 14 72. 3 60 577 598 15 63. 1 528 528 16 44. 8 510 512 17 56. 4 493 507 18 65. 9
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