Conduct the hypothesis test and provide the test statistic and the critical value, and state the conclusion. A person 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 0.05 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 0-24 25-49 50-74 13 75-99 12 Number 65 10 Click here to view the chi-square distribution table. - X Chi-square distribution table The test statistic is . (Round to three decimal places as needed.) Area to the Right of the Critical Value Degrees of Freedom 0.995 0.99 0.975 0.95 0.90 0.10 1 0.001 0.004 0.016 2.706 0.010 0.020 0.051 0.103 0.211 4.605 3 0.072 0.115 0.216 0.352 0.584 6.251 0.207 0.297 0.484 0.711 1.064 7.779 5 0.412 0.554 0.831 1.145 1.610 9.236 6 0.676 0.872 1.237 1.635 2.204 10.645 7 0.989 1.239 1.690 2.167 2.833 12.017 8 1.344 1.646 2.180 2.733 3.490 13.362 1.735 2.088 2.700 3.325 4.168 14.684 10 2.156 2.558 3.247 3.940 4.865 15.987

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I need the test static, critical value , null & alternative hypothesis , conclusion & also probably p value Thankyou so much I need help kn working these out.
Conduct the hypothesis test and provide the test statistic and the critical value, and state the conclusion.
A person 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 0.05 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|
0-24
25-49
50-74
75-99
Number
65
10
13
12
Click here to view the chi-square distribution table.
Chi-square distribution table
The test statistic is D.
(Round to three decimal places as needed.)
Area to the Right of the Critical Value
Degrees of
Freedom
0.995
0.99
0.975
0.95
0.90
0.10
1
0.001
0.004
0.016
2.706
4.605
2
0.010
0.020
0.051
0.103
0.211
3
0.072
0.115
0.216
0.352
0.584
6.251
4
0.207
0.297
0.484
0.711
1.064
7.779
5
0.412
0.554
0.831
1.145
1.610
9.236
6
0.676
0.872
1.237
1.635
2.204
10.645
7.
0.989
1.239
1.690
2.167
2.833
12.017
1.344
1.646
2.180
2.733
3.490
13.362
1.735
2.088
2.700
3.325
4.168
14.684
10
2.156
2.558
3.247
3.940
4.865
15.987
Transcribed Image Text:Conduct the hypothesis test and provide the test statistic and the critical value, and state the conclusion. A person 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 0.05 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| 0-24 25-49 50-74 75-99 Number 65 10 13 12 Click here to view the chi-square distribution table. Chi-square distribution table The test statistic is D. (Round to three decimal places as needed.) Area to the Right of the Critical Value Degrees of Freedom 0.995 0.99 0.975 0.95 0.90 0.10 1 0.001 0.004 0.016 2.706 4.605 2 0.010 0.020 0.051 0.103 0.211 3 0.072 0.115 0.216 0.352 0.584 6.251 4 0.207 0.297 0.484 0.711 1.064 7.779 5 0.412 0.554 0.831 1.145 1.610 9.236 6 0.676 0.872 1.237 1.635 2.204 10.645 7. 0.989 1.239 1.690 2.167 2.833 12.017 1.344 1.646 2.180 2.733 3.490 13.362 1.735 2.088 2.700 3.325 4.168 14.684 10 2.156 2.558 3.247 3.940 4.865 15.987
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