Oi | Ei | (Oi-Ei)^2/Ei |
46 | 39 | 1.256410256 |
16 | 26 | 3.846153846 |
68 | 65 | 0.138461538 |
44 | 51 | 0.960784314 |
44 | 34 | 2.941176471 |
82 | 85 | 0.105882353 |
Chi square test statistic value is | 9.249 |
QUESTION 1 1)-2) Use the sample data below to test the hypotheses: HO: p1=p2=p3 H1: Not...
QUESTION 1 1)-2) Use the sample data below to test the hypotheses: HO: p1=p2=p3 H1: Not all population proportions are equal Response 1 2 3 Total Yes 46 16 68 130 No 44 44 82 170 Total 90 60 150 300 The calculated test statistic is 9.249 10.950 6.082 8.851
QUESTION 1 1)-2) Use the sample data below to test the hypotheses: HO: p1=p2=p3 H1: Not all population proportions are equal Response 1 2 3 Total Yes 46 16 68 130 No 44 44 82 170 Total 90 60 150 300 The calculated test statistic is 6.082 8.851 9.249 10.950 QUESTION 2 1)-2) Use the sample data below to test the hypotheses: HO: p1=p2=p3 H1: Not all population proportions are equal Response 1 2 3 Total Yes 46 16 68...
QUESTION 1 1)-2) Use the sample data below to test the hypotheses: HO: p1=p2=p3 H1: Not all population proportions are equal Response 1 2 3 Total Yes 46 16 68 130 No 44 44 82 170 Total 90 60 150 300 The calculated test statistic is 10.950 8.851 06.082 09.249 QUESTION 2 1)-2) Use the sample data below to test the hypotheses: HO: p1=p2=p3 H1: Not all population proportions are equal Response | 1 2 3 | Total Yes 46...
QUESTTUNT 1)-2) Use the sample data below to test the hypotheses: HO: p1=p2=p3 H1: Not all population proportions are equal Response 1 2 3 Total Yes 46 16 68 130 No 44 44 82 170 Total 90 60 150 300 The calculated test statistic is 10.950 6.082 9.249 8.851 QUESTION 2 1)-2) Use the sample data below to test the hypotheses: HO: p1=p2=p3 H1: Not all population proportions are equal Yes Response 1 2 3 Total 46 16 68 130...
QUESTION 2 1)-2) Use the sample data below to test the hypotheses: HO: p1=p2=p3 H1: Not all population proportions are equal Response 1 2 3 | Total Yes 46 16 68 130 No 44 44 82 170 Total | 90 60 150 300 At 2.5% level of significance, the conclusion is fail to reject HO No test No decision Reject HO
QUESTION 2 1)-2) Use the sample data below to test the hypotheses: HO: p1=p2=p3 H1: Not all population proportions are equal Response | 1 2 3 Total Yes 46 16 68 130 No 44 44 82 170 Total 90 60 150 300 At 2.5% level of significance, the conclusion is fail to reject HO No test No decision Reject HO LA
1)-2) Use the sample data below to test the hypotheses: HO: p1=p2=p3 H1: Not all population proportions are equal Response 1 2 3 Total Yes 46 16 68 130 No 44 44 82 170 Total 90 60 150 300 At 2.5% level of significance, the conclusion is fail to reject HO No test No decision O Reject Ho
Use the sample data below to test the hypotheses: H0: p1=p2=p3 H1: Not all population proportions are equal The calculated test statistic is 6.082 9.249 8.851 10.950 At 2.5% level of significance, the conclusion is fail to reject H0 No test No decision Reject H0
Consider the following competing hypotheses and accompanying sample data. Ho: Pi-P2 = 0.20 HA P - P2 = 0.20 X2 = 130 X1 = 150 n = 250 m2 = 400 a. Calculate the value of the test statistic. b. Calculate the p-value. c. At the 5% significance level, what is the conclusion to the test? Can you conclude that the difference between the population proportions differs from 0.20? d. Repeat the analysis with the critical value approach.
You may need to use the appropriate technology to answer this question. Use the sample data below to test the hypotheses H0: p1 = p2= p3 Ha: not all population proportions are equal where p is the population proportion of Yes responses for population i. Populations Response 1 2 3 155 140 101 Yes No 105 140 109 Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four...