Background: Data on infant mortality mortality (measured as deaths per 1,000 under 1 year old) was collected by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) for the 1990 Demographic Year Book and is provided below. Perform an analysis of variance procedure to determine whether or not the differences in the mortality rates of infants in African, Asian and Middle Eastern countries is statistically significant. 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. Data Africa Asia MiddleEast 76 181.6 18 137 118 112.1 69 130 70 72 37 8.7 48.4 5.1 44 137 89 15.6 103 76 51 144 26 43 91 24 70 74 69 76 82 130 29 131 107.7 81 45 143 11.5 134 18.4 104 31 153 67 132 72 107 117 53 105 106 83 82 66 H0: μ1=μ2=μ3H0: μ1=μ2=μ3 Ha: μ1,μ2,μ3Ha: μ1,μ2,μ3 are not all equal. 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 Compute the p-value. (Round your answer to 4 decimal places.) p-value =

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Background: Data on infant mortality mortality (measured as deaths per 1,000 under 1 year old) was collected by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) for the 1990 Demographic Year Book and is provided below. Perform an analysis of variance procedure to determine whether or not the differences in the mortality rates of infants in African, Asian and Middle Eastern countries is statistically significant.

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.

Data

Africa	Asia	MiddleEast
76	181.6	18
137	118	112.1
69	130	70
72	37	8.7
48.4	5.1	44
137	89	15.6
103	76	51
144	26	43
91	24	70
74	69	76
82	130	29
131	107.7
81	45
143	11.5
134	18.4
104	31
153	67
132
72
107
117
53
105
106
83
82
66

H0: μ1=μ2=μ3H0: μ1=μ2=μ3
Ha: μ1,μ2,μ3Ha: μ1,μ2,μ3 are not all equal.

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
Compute the p-value. (Round your answer to 4 decimal places.)

p-value =

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