chi-square distribution table Area to the Right of the Critical Value Degrees of Freedom 0.995 0.99 0.975 0.95 0.90 0.10 0.05 0.025 0.01 0. 0.001 0.004 0.016 2.706 3.841 5.024 6.635 7.5 0.010 0.020 0.051 0.103 0.211 4.605 5.991 7.378 9.210 10. 9.348 11.345 12. 6.251 7.779 0.072 0.115 0.216 0.352 0.584 7.815 4. 0.207 0.297 0.484 0.711 1.064 9.488 11.143 13.277 14. 0.412 0.554 0.831 1.145 1.610 9.236 11.071 12.833 15.086 16 0.676 0.872 1.237 1.635 2.204 10.645 12.592 14.449 16.812 18 46013 40 47E
chi-square distribution table Area to the Right of the Critical Value Degrees of Freedom 0.995 0.99 0.975 0.95 0.90 0.10 0.05 0.025 0.01 0. 0.001 0.004 0.016 2.706 3.841 5.024 6.635 7.5 0.010 0.020 0.051 0.103 0.211 4.605 5.991 7.378 9.210 10. 9.348 11.345 12. 6.251 7.779 0.072 0.115 0.216 0.352 0.584 7.815 4. 0.207 0.297 0.484 0.711 1.064 9.488 11.143 13.277 14. 0.412 0.554 0.831 1.145 1.610 9.236 11.071 12.833 15.086 16 0.676 0.872 1.237 1.635 2.204 10.645 12.592 14.449 16.812 18 46013 40 47E
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
Need help with statistics homework question asap! 16
![Chi-square distribution table
Area to the Right of the Critical Value
Degrees of
Freedom
1
0.005
7.879
10.597
12.838
14.860
16.750
18.548
20.278
21.955
23.589
25.188
0.995
0.01
0.05
3.841
5.991
7.815
9.488
11071
12.592
14.067
15.507
16.919
18,307
0.025
0.90
0.016
0.211
0.584
1.064
1,610
2.204
2.833
3.490
4.168
4.865
0.99
0.95
0.10
2.706
4.605
6.251
7.779
9.236
0.975
5.024
6.635
0.001
0.051
0.004
0.103
0.352
0.711
1.145
0.010
7.378
9.210
0.020
0.115
0.297
0.554
9.348
11.143
11.345
3)
4
0.072
0.216
0.207
0.412
13.277
15.086
0.484
0.831
12.833
16.812
10.645
12.017
13.362
14.684
15.987
14.449
16.013 18.475
17.535
0.676
0.872
1.237
1.635
2.167
2.733
3.325
7
0.989
1.239
1.690
20.090
21.666
1.344
1.646
2.180
19.023
20.483
2.700
1.735
2.156
2.088
2.558
6.
10
3.247
3.940
23.209](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa1a3fe2b-88bb-41d3-85ae-6bdcfb42d622%2F08f852a3-b072-43f3-ad6e-cde7ba8949e1%2Fcpaic3c_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Chi-square distribution table
Area to the Right of the Critical Value
Degrees of
Freedom
1
0.005
7.879
10.597
12.838
14.860
16.750
18.548
20.278
21.955
23.589
25.188
0.995
0.01
0.05
3.841
5.991
7.815
9.488
11071
12.592
14.067
15.507
16.919
18,307
0.025
0.90
0.016
0.211
0.584
1.064
1,610
2.204
2.833
3.490
4.168
4.865
0.99
0.95
0.10
2.706
4.605
6.251
7.779
9.236
0.975
5.024
6.635
0.001
0.051
0.004
0.103
0.352
0.711
1.145
0.010
7.378
9.210
0.020
0.115
0.297
0.554
9.348
11.143
11.345
3)
4
0.072
0.216
0.207
0.412
13.277
15.086
0.484
0.831
12.833
16.812
10.645
12.017
13.362
14.684
15.987
14.449
16.013 18.475
17.535
0.676
0.872
1.237
1.635
2.167
2.733
3.325
7
0.989
1.239
1.690
20.090
21.666
1.344
1.646
2.180
19.023
20.483
2.700
1.735
2.156
2.088
2.558
6.
10
3.247
3.940
23.209
![Conduct the hypothesis test and provide the test statistic and the cntical value, and state the conclusion.
Aperson randomly selected 100 checks and recorded the cents portions of those checks The table below lists
those cents portions categorized according to the indicated values. Use a 0 10 significance level to test the claim
that the four categories are equally likely. The person expected that many checks for whole dollar amounts would
result in a disproportionately high frequency for the first category, but do the results support that expectation?
Cents portion of check
Number
0-24
33
25-49
20
50-74
21
75-99
26
Click here to view the chi-square distribution table.
The test statistic is
(Round to three decimal places as needed.)
The critical value is
(Round to three decimal places as needed.)
State the conclusion,
Reject
Ho. There is not sufficient evidence to warrant rejection ofthe claim that the four categories are
equally likely. The results do not appear to support the expectation that the frequency for the first category is
disproportionately high.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa1a3fe2b-88bb-41d3-85ae-6bdcfb42d622%2F08f852a3-b072-43f3-ad6e-cde7ba8949e1%2Fljgpncl_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Conduct the hypothesis test and provide the test statistic and the cntical value, and state the conclusion.
Aperson randomly selected 100 checks and recorded the cents portions of those checks The table below lists
those cents portions categorized according to the indicated values. Use a 0 10 significance level to test the claim
that the four categories are equally likely. The person expected that many checks for whole dollar amounts would
result in a disproportionately high frequency for the first category, but do the results support that expectation?
Cents portion of check
Number
0-24
33
25-49
20
50-74
21
75-99
26
Click here to view the chi-square distribution table.
The test statistic is
(Round to three decimal places as needed.)
The critical value is
(Round to three decimal places as needed.)
State the conclusion,
Reject
Ho. There is not sufficient evidence to warrant rejection ofthe claim that the four categories are
equally likely. The results do not appear to support the expectation that the frequency for the first category is
disproportionately high.
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