A factory manager wishes to know whether the efficiency of employees working in a high-noise area could be improved by reducing the noise level. The following table gives efficiency rating taken before and after noise-reduction measures were introduced for 15 affected employees. Can we conclude from these data, at the 0.01 level of significance, the reducing the noise level raises the efficiency level of employees? A higher number indicates a higher efficiency. Efficiency Rating Efficiency Rating Employee Before After Employee Before After 21 32 22 40 35 35 10 35 48 3 40 58 11 28 38 4 38 57 12 20 33 5 23 37 13 39 39 27 40 14 28 41 7 28 39 15 34 44 38 58

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A factory manager wishes to know whether the efficiency of employees working in a high-noise area
could be improved by reducing the noise level. The following table gives efficiency rating taken
before and after noise-reduction measures were introduced for 15 affected employees. Can we
conclude from these data, at the 0.01 level of significance, the reducing the noise level raises the
efficiency level of employees? A higher number indicates a higher efficiency.
Efficiency Rating
Efficiency Rating
Employee
Before
After
Employee
Before
After
1
21
32
22
40
2
35
35
10
35
48
3
40
58
11
28
38
4
38
57
12
20
33
5
23
37
13
39
39
27
40
14
28
41
7
28
39
15
34
44
8
38
58
6.
Transcribed Image Text:A factory manager wishes to know whether the efficiency of employees working in a high-noise area could be improved by reducing the noise level. The following table gives efficiency rating taken before and after noise-reduction measures were introduced for 15 affected employees. Can we conclude from these data, at the 0.01 level of significance, the reducing the noise level raises the efficiency level of employees? A higher number indicates a higher efficiency. Efficiency Rating Efficiency Rating Employee Before After Employee Before After 1 21 32 22 40 2 35 35 10 35 48 3 40 58 11 28 38 4 38 57 12 20 33 5 23 37 13 39 39 27 40 14 28 41 7 28 39 15 34 44 8 38 58 6.
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