SHOW WORK (you can do this on a piece of paper and take a picture to insert or attached here): Say we want to test if the sex ratio in a large lecture hall class is significantly different from the global sex ratio, then use the table to determine if you reject the hypothesis that the sex ratios in this large lecture hall class are equal to the global sex ratio (50% male, 50% female) and make that statement about the differences or lack of differences at the end of your answer. Give the equation and calculate a Chi-Square value for the following data as part of your assessment (show work): Total males: 90 Total females: 110
SHOW WORK (you can do this on a piece of paper and take a picture to insert or attached here): Say we want to test if the sex ratio in a large lecture hall class is significantly different from the global sex ratio, then use the table to determine if you reject the hypothesis that the sex ratios in this large lecture hall class are equal to the global sex ratio (50% male, 50% female) and make that statement about the differences or lack of differences at the end of your answer. Give the equation and calculate a Chi-Square value for the following data as part of your assessment (show work): Total males: 90 Total females: 110
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
Related questions
Question
Transcribed Image Text:SHOW WORK (you can do this on a piece of paper and take a picture to insert or
attached here): Say we want to test if the sex ratio in a large lecture hall class is
significantly different from the global sex ratio, then use the table to determine if
you reject the hypothesis that the sex ratios in this large lecture hall class are equal
to the global sex ratio (50% male, 50% female) and make that statement about the
differences or lack of differences at the end of your answer. Give the equation and
calculate a Chi-Square value for the following data as part of your assessment (show
work):
Total males: 90
Total females: 110
Chi-Square Distrihurion
Degrees of
Freedon
Probability (p)
0.95
0.90
0.02
0.80
0.70
0.13
0.50
020
0.10
2.71
4.60
6.25
7.78
0.30
0.05
3.84
0.01
0.001
10.83
13.82
16.27
46
I07
1.64
3.22
4.64
5.99
7.29
8.56
9.80
11 03
0.10
0.35
5.99
782
0.21
0.58
1.06
1.61
2.20
2.83
349
0.45
I01
0.71
1.42
2.20
3.00
1.39
2.37
921
11.34
2.
241
3.
3.66
13.28
0.71
1.14
1.63
2.17
2.73
3.36
4.35
5.35
6.35
4.88
606
949
18.47
20.52
22.46
24 32
26.12
4
1.65
15 09
1681
18.48
5.
2.34
9.24
11.07
10.64
12.02
12.59
3.07
382
3.83
4.67
5.53
7.23
8.38
6.
7.
14.07
4.39
7.34
9 52
13.36
13.51
20 .09
Transcribed Image Text:the equation and
calculate a Chi-Square value for the following data as part of your assessment (show
work):
Total males: 90
Total females: 110
Chi-Square Distrihution
20 190u
Freedon
Probability (p)
0.95
0.004
0.90
0.80
0.70
0.15
0.50
0.20
1.64
0.30
0.10
2.71
0.01
0.001
10.83
0.05
0.02
384
0.10
0.35
0.71
1.14
0.21
0.58
0.71
1.42
2.20
3.00
1.39
2.37
3.36
4.35
5.35
6.35
7.34
8.34
2.41
4.60
.25
7.78
9.24
10.64
12.02
0.45
5.99
782
921
11.34
13 28
13.82
3 22
4.64
5.99
7.29
856
9.80
11 03
12.24
13.44
3.
I01
1.66
16.27
1.06
4,88
6 06
7.23
8.38
4
1.65
18.47
20.52
22.46
24 12
26.12
27.88
9.49
1.61
2.34
11.07
15.09
1.63
2.17
2.73
3.32
2.20
2.83
3.49
4.17
3.07
382
4 59
5.38
3.83
467
5.33
6.39
7.27
Nansignificant
6.
1681
18.48
12.39
7.
1407
20 09
21.67
23 21
Significant
952
13.36
14.68
15.51
6.
10.65
16.92
3.94
4.86
6.18
9.34
11.78
15.99
18.31
29.59
DELL
に
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