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Directions: Perform an analysis of variance (ANOVA) to determine if the differences in the infant mortality rates in African, Asian and Middle Eastern countries is statistically significant. 1. Click on the Data button below to display the data. Copy the data into a statistical software package and click the Data button a second time to hide it. Data Africa Asia MiddleEast 73 178.6 14 138 116 108.1 69 129 72 77 30 11.7 45.4 7.1 42 140 89 16.6 100 73 47 145 23 38 93 22 74 71 66 75 81 129 26 132 104.7 83 42 143 6.5 131 20.4 103 25 157 65 130 76 104 118 49 103 110 84 83 63

Directions: Perform an analysis of variance (ANOVA) to determine if the differences in the infant mortality rates in African, Asian and Middle Eastern countries is statistically significant. 1. Click on the Data button below to display the data. Copy the data into a statistical software package and click the Data button a second time to hide it. Data Africa Asia MiddleEast 73 178.6 14 138 116 108.1 69 129 72 77 30 11.7 45.4 7.1 42 140 89 16.6 100 73 47 145 23 38 93 22 74 71 66 75 81 129 26 132 104.7 83 42 143 6.5 131 20.4 103 25 157 65 130 76 104 118 49 103 110 84 83 63

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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Directions: Perform an analysis of variance (ANOVA) to determine if the differences in the infant mortality rates in African, Asian and Middle Eastern countries is statistically significant. 1. Click on the Data button below to display the data. Copy the data into a statistical software package and click the Data button a second time to hide it. Data Africa Asia MiddleEast 73 178.6 14 138 116 108.1 69 129 72 77 30 11.7 45.4 7.1 42 140 89 16.6 100 73 47 145 23 38 93 22 74 71 66 75 81 129 26 132 104.7 83 42 143 6.5 131 20.4 103 25 157 65 130 76 104 118 49 103 110 84 83 63
Transcribed Image Text:Directions: Perform an analysis of variance (ANOVA) to determine if the differences in the infant mortality rates in African, Asian and Middle Eastern countries is statistically significant. 1. Click on the Data button below to display the data. Copy the data into a statistical software package and click the Data button a second time to hide it. Data Africa Asia MiddleEast 73 178.6 14 138 116 108.1 69 129 72 77 30 11.7 45.4 7.1 42 140 89 16.6 100 73 47 145 23 38 93 22 74 71 66 75 81 129 26 132 104.7 83 42 143 6.5 131 20.4 103 25 157 65 130 76 104 118 49 103 110 84 83 63
2. Choose the correct null and alternative hypotheses. O Ho: µ1 = µ2 = µ3 Ha: µ1 + 42 + µ3 O Ha: µ1, µ2, µ3 are not all equal. Ho: µi = µ2 = µ3 O Ho: µ1 7 µ2 # µ3 Ha: µi = µ2 = µ3 O Ho: µi = µ2 = µ3 Ha: µ1, µ2, µ3 are not all equal. 3. Compute the test statistic. Compute the treatment sum of squares (SSTR) and the error sum of squares (SSE) and use them to complete the following ANOVA table. (Round your answers to 2 decimal places). Source S.S. df M.S. F Treatment Error Total 4. Compute the p-value. (Round your answer to 4 decimal places.) p-value = 5. Interpret the results of the significance test. O The p-value provides strong evidence against the null hypothesis. The differences in the infant mortality rates of African, Asian and Middle Eastern countries is statistically significant. From a practical perspective, the infant mortality rate in Africa is approximately 2.1 times the infant mortality rate in the Middle East. O The p-value provides little evidence against the null hypothesis. The differences in infant mortality rates of African, Asian and Middle Eastern countries is not statistically significant. From a practical perspective, the infant mortality rate in Africa is approximately 2.1 times the infant mortality rate in the Middle East.
Transcribed Image Text:2. Choose the correct null and alternative hypotheses. O Ho: µ1 = µ2 = µ3 Ha: µ1 + 42 + µ3 O Ha: µ1, µ2, µ3 are not all equal. Ho: µi = µ2 = µ3 O Ho: µ1 7 µ2 # µ3 Ha: µi = µ2 = µ3 O Ho: µi = µ2 = µ3 Ha: µ1, µ2, µ3 are not all equal. 3. Compute the test statistic. Compute the treatment sum of squares (SSTR) and the error sum of squares (SSE) and use them to complete the following ANOVA table. (Round your answers to 2 decimal places). Source S.S. df M.S. F Treatment Error Total 4. Compute the p-value. (Round your answer to 4 decimal places.) p-value = 5. Interpret the results of the significance test. O The p-value provides strong evidence against the null hypothesis. The differences in the infant mortality rates of African, Asian and Middle Eastern countries is statistically significant. From a practical perspective, the infant mortality rate in Africa is approximately 2.1 times the infant mortality rate in the Middle East. O The p-value provides little evidence against the null hypothesis. The differences in infant mortality rates of African, Asian and Middle Eastern countries is not statistically significant. From a practical perspective, the infant mortality rate in Africa is approximately 2.1 times the infant mortality rate in the Middle East.
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