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. Use alpha = 0.05. Round your answers to at least 4 decimal places The data below represent 1990 infant mortality rates (deaths per 1,000 under 1 years old) from randomly selected countries from the three geographical regions. Africa Asia MiddleEast 41.9 44.9 47.3 45.2 38.3 50.5 44.4 45.2 47.4 41.3 36.4 51.2 41.2 43.4 55.2 46.9 42.1 48.5 40.7 39.3 47.9 40.8 37.9 53.3 45.6 38.9 46.4 35.2 36.8 37.3 48.1 36.8 46.3 36.8 48.3 41.3 37.6 38.1 37.6 34.3 45 47.2 38.5 40.3 43.3 42.7 a. Sate the correct null and alternative hypotheses. b. Fill out the entire ANOVA table to. Source S.S. df M.S. F Treatment Error Total Compute the p-value. p-value = 3. Interpret the results of the significance test. Use a 5% level of significance. 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. 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

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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Question

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. Use alpha = 0.05. Round your answers to at least 4 decimal places

The data below represent 1990 infant mortality rates (deaths per 1,000 under 1 years old) from randomly selected countries from the three geographical regions.

Africa	Asia	MiddleEast
41.9	44.9	47.3
45.2	38.3	50.5
44.4	45.2	47.4
41.3	36.4	51.2
41.2	43.4	55.2
46.9	42.1	48.5
40.7	39.3	47.9
40.8	37.9	53.3
45.6	38.9
46.4	35.2
36.8	37.3
48.1	36.8
46.3	36.8
48.3	41.3
37.6	38.1
37.6	34.3
45	47.2
38.5	40.3
43.3
42.7

a. Sate the correct null and alternative hypotheses.

b. Fill out the entire ANOVA table to.

Source	S.S.	df	M.S.	F
Treatment
Error
Total

Compute the p-value.
p-value =

Interpret the results of the significance test. Use a 5% level of significance.

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.
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.

Expert Solution

Step 1

Given: Data representing 1990 infant mortality rates (deaths per 1,000 under 1 year old) from randomly selected countries from the three geographical regions (here; Africa, Asia, Middle East)

Africa	Asia	Middle East
41.9	44.9	47.3
45.2	38.3	50.5
44.4	45.2	47.4
41.3	36.4	51.2
41.2	43.4	55.2
46.9	42.1	48.5
40.7	39.3	47.9
40.8	37.9	53.3
45.6	38.9
46.4	35.2
36.8	37.3
48.1	36.8
46.3	36.8
48.3	41.3
37.6	38.1
37.6	34.3
45	47.2
38.5	40.3
43.3
42.7