1 NAASSTOOCHES 2 3 4 9 5 6 df 7 8 9 10 15 50 0.90 0.02 0.21 0.58 1.06 25 16.47 37.69 1.61 2.20 2.83 3.49 4.17 4.87 8.55 0.50 0.46 1.39 2.37 3.36 4.35 5.35 6.35 7.34 8.34 9.34 Table of values Probability (p) 0.05 0.20 1.64 3.22 4.64 5.99 7.29 8.56 9.80 11.03 12.24 13.44 14.34 19.31 24.34 30.68 49.34 58.16 (o-e) x-[6-e²³-[#² 3.84 5.99 7.82 9.49 11.07 0.01 6.64 9.21 37.65 67.51 11.35 13.28 15.09 16.81 18.48 20.09 12.59 14.07 15.51 16.92 21.67 18.31 23.21 25.00 30.58 44.31 76.15 0.001 10.83 13.82 16.27 18.47 20.52 22.46 24.32 26.13 27.88 29.59 37.30 52.62 86.60 When testing to see if the null hypothesis should be rejected for a 3:1 ratio, how many degrees of freedom should be used in the chi- square analysis? 01 02 0 3 04
1 NAASSTOOCHES 2 3 4 9 5 6 df 7 8 9 10 15 50 0.90 0.02 0.21 0.58 1.06 25 16.47 37.69 1.61 2.20 2.83 3.49 4.17 4.87 8.55 0.50 0.46 1.39 2.37 3.36 4.35 5.35 6.35 7.34 8.34 9.34 Table of values Probability (p) 0.05 0.20 1.64 3.22 4.64 5.99 7.29 8.56 9.80 11.03 12.24 13.44 14.34 19.31 24.34 30.68 49.34 58.16 (o-e) x-[6-e²³-[#² 3.84 5.99 7.82 9.49 11.07 0.01 6.64 9.21 37.65 67.51 11.35 13.28 15.09 16.81 18.48 20.09 12.59 14.07 15.51 16.92 21.67 18.31 23.21 25.00 30.58 44.31 76.15 0.001 10.83 13.82 16.27 18.47 20.52 22.46 24.32 26.13 27.88 29.59 37.30 52.62 86.60 When testing to see if the null hypothesis should be rejected for a 3:1 ratio, how many degrees of freedom should be used in the chi- square analysis? 01 02 0 3 04
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![1234567BSOSES
df 7
8
9
10
50
0.90
0.02
0.21
0.58
1.06
1.61
2.20
2.83
3.49
4.17
4.87
8.55
0.50
0.46
1.39
2.37
3.36
4.35
5.35
6.35
7.34
8.34
9.34
14.34
16.47 24.34
37.69
49.34
Table of values
Probability (p)
0.20
1.64
3.22
4.64
5.99
7.29
8.56
9.80
11.03
12.24
13.44
19.31
30.68
58.16
1-2 Σ
(o-e)²
x²
=
0.05
3.84
5.99
7.82
9.49
11.07
12.59
14.07
15.51
16.92
18.31
25.00
37.65
67.51
0,01
6.64
9.21
11.35
13.28
15.09
16.81
18.48
20.09
21.67
23.21
30.58
44.31
76.15
0.001
10.83
13.82
16.27
18.47
20.52
22.46
24.32
26.13
27.88
29.59
37.30
52.62
86.60
When testing to see if the null hypothesis should be rejected for a 3:1 ratio, how many degrees of freedom should be used in the chi-
square analysis?
01
2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb2d18145-77b6-4b8e-89f7-d1d610a25658%2Fab6103b8-fa49-423c-9460-834ad10449fd%2Fpp4el2_processed.jpeg&w=3840&q=75)
Transcribed Image Text:1234567BSOSES
df 7
8
9
10
50
0.90
0.02
0.21
0.58
1.06
1.61
2.20
2.83
3.49
4.17
4.87
8.55
0.50
0.46
1.39
2.37
3.36
4.35
5.35
6.35
7.34
8.34
9.34
14.34
16.47 24.34
37.69
49.34
Table of values
Probability (p)
0.20
1.64
3.22
4.64
5.99
7.29
8.56
9.80
11.03
12.24
13.44
19.31
30.68
58.16
1-2 Σ
(o-e)²
x²
=
0.05
3.84
5.99
7.82
9.49
11.07
12.59
14.07
15.51
16.92
18.31
25.00
37.65
67.51
0,01
6.64
9.21
11.35
13.28
15.09
16.81
18.48
20.09
21.67
23.21
30.58
44.31
76.15
0.001
10.83
13.82
16.27
18.47
20.52
22.46
24.32
26.13
27.88
29.59
37.30
52.62
86.60
When testing to see if the null hypothesis should be rejected for a 3:1 ratio, how many degrees of freedom should be used in the chi-
square analysis?
01
2
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