In: Statistics and Probability
1) Background: Data on infant
mortality mortality (measured as deaths per 1,000 under 1 year old)
was...
1) 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.
- 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 |
75 |
181.6 |
13 |
138 |
118 |
110.1 |
69 |
132 |
68 |
74 |
34 |
10.7 |
48.4 |
5.1 |
42 |
138 |
90 |
11.6 |
103 |
76 |
46 |
142 |
23 |
39 |
90 |
26 |
70 |
74 |
72 |
71 |
83 |
129 |
28 |
129 |
105.7 |
|
82 |
49 |
|
141 |
11.5 |
|
136 |
19.4 |
|
105 |
27 |
|
155 |
64 |
|
131 |
|
|
71 |
|
|
109 |
|
|
118 |
|
|
53 |
|
|
103 |
|
|
107 |
|
|
84 |
|
|
82 |
|
|
66 |
|
|
- Choose the correct null and alternative hypotheses.
- H0: μ1=μ2=μ3H0: μ1=μ2=μ3
Ha: μ1,μ2,μ3Ha: μ1,μ2,μ3 are not all equal.
- Ha: μ1,μ2,μ3Ha: μ1,μ2,μ3 are not all equal.
H0: μ1=μ2=μ3H0: μ1=μ2=μ3
- H0: μ1≠μ2≠μ3H0: μ1≠μ2≠μ3
Ha: μ1=μ2=μ3Ha: μ1=μ2=μ3
- H0: μ1=μ2=μ3H0: μ1=μ2=μ3
Ha: μ1≠μ2≠μ3Ha: μ1≠μ2≠μ3
- 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.)
pp-value =
- Interpret the results of the significance test.
- 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 2.2 times the infant mortality rate
in the Middle East.
- 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 2.2 times the infant mortality rate
in the Middle East.
2)
For which of the following would it be most appropriate to use
an ANOVA to analyze the data?
- A researcher is interested in determining the most effective
format for advertising. He randomly assigns 60 people to one of
three groups: (1) television commercial, (2) radio commercial, or
(3) magazine advertisement. Group members review the commercial and
then report whether or not they would buy the product.
- In order to determine the effectiveness of different diet
plans, 90 people are randomly assigned to one of three groups: (1)
low calorie diet, (2) low-fat diet, or (3) low-carb diet. At the
end of 60 days, the number of pounds lost was recorded for each of
the participants.
- Both A and B.
- Neither A nor B.