An economist is interested in the variability of hourly wages at a production plant. She collects data on 50 hourly wage earners. Use the accompanying Excel Data File for this exercise. E Click here for the Excel Data File a. Select the competing hypotheses to test whether the variance of hourly wages exceeds 35 ($2). Họ: o2 s 35; Hạ: o2 > 35 Họ: o2 = 35; Ha: o² * 35 Ho: o 2 35; HẠ: o < 35 b. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) Test statistic

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Author:Carter
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Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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An economist is interested in the variability of hourly wages at a production plant. She collects data on 50 hourly wage earners. Use
the accompanying Excel Data File for this exercise.
E Click here for the Excel Data File
a. Select the competing hypotheses to test whether the variance of hourly wages exceeds 35 ($2).
Ho: o s 35; Hạ: o2 > 35
Ho: o2
3 35; На: ot # 35
Ho:
o2 > 35; HA: o² < 35
b. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3
decimal places.)
Test statistic
Transcribed Image Text:An economist is interested in the variability of hourly wages at a production plant. She collects data on 50 hourly wage earners. Use the accompanying Excel Data File for this exercise. E Click here for the Excel Data File a. Select the competing hypotheses to test whether the variance of hourly wages exceeds 35 ($2). Ho: o s 35; Hạ: o2 > 35 Ho: o2 3 35; На: ot # 35 Ho: o2 > 35; HA: o² < 35 b. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) Test statistic
Hourly Wage EDUC EXPER AGE
Gender
2
37.85
11
2.
1
3
21.72
4
1
39
4
14.34
4
38
21.26
53
24.65
15
59
7
25.65
36
8.
15.45
45
20.39
4
37
10
29.13
14
37
1
11
27.33
11
3
43
12
18.02
8
32
13
20.39
18
40
1
14
24.18
7
1
49
1
15
17.29
4
10
43
16
15.61
31
17
35.07
22
45
18
40.33
3
31
19
20.39
14
20
16.61
6
30
1
21
16.33
28
22
23.15
6
15
60
23
20.39
4
13
24
14.88
4
58
1
25
13.88
4
28
26
17.65
6
40
1
27
15.45
6
2.
37
28
26.35
4
18
52
1
29
19.15
6
4
44
30
16.61
4
57
31
18.39
3
30
1
32
15.45
8
43
33
18.02
7
31
1
13.44
4
3
33
35
17.66
6
23
51
1
36
16.96
4
15
37
37
14.34
4
38
15.45
6
3
39
17.43
14
57
40
35.89
16
36
41
20.39
4
20
1
42
11.81
4
43
15.45
10
34
44
17.66
4
28
45
13.87
6
1
46
16.35
7
10
47
15.45
42
48
23.67
17
47
49
16.02
11
46
1
50
23.15
4
15
52
51
24.18
8
11
64
52
1.
H n O 00 O nN 00 00 ONN + NO m1 m17
nn7 D O n4 00 n m N 7624
9 4 m m5 nm4
6 3E 2
O m3 N
244
2.
252N
2.
146
m4u 6
Transcribed Image Text:Hourly Wage EDUC EXPER AGE Gender 2 37.85 11 2. 1 3 21.72 4 1 39 4 14.34 4 38 21.26 53 24.65 15 59 7 25.65 36 8. 15.45 45 20.39 4 37 10 29.13 14 37 1 11 27.33 11 3 43 12 18.02 8 32 13 20.39 18 40 1 14 24.18 7 1 49 1 15 17.29 4 10 43 16 15.61 31 17 35.07 22 45 18 40.33 3 31 19 20.39 14 20 16.61 6 30 1 21 16.33 28 22 23.15 6 15 60 23 20.39 4 13 24 14.88 4 58 1 25 13.88 4 28 26 17.65 6 40 1 27 15.45 6 2. 37 28 26.35 4 18 52 1 29 19.15 6 4 44 30 16.61 4 57 31 18.39 3 30 1 32 15.45 8 43 33 18.02 7 31 1 13.44 4 3 33 35 17.66 6 23 51 1 36 16.96 4 15 37 37 14.34 4 38 15.45 6 3 39 17.43 14 57 40 35.89 16 36 41 20.39 4 20 1 42 11.81 4 43 15.45 10 34 44 17.66 4 28 45 13.87 6 1 46 16.35 7 10 47 15.45 42 48 23.67 17 47 49 16.02 11 46 1 50 23.15 4 15 52 51 24.18 8 11 64 52 1. H n O 00 O nN 00 00 ONN + NO m1 m17 nn7 D O n4 00 n m N 7624 9 4 m m5 nm4 6 3E 2 O m3 N 244 2. 252N 2. 146 m4u 6
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