1. does the data satisfy the assumptions of ANOVA? 2. Write the null and alternative hypothesis of this study. 3. What is your conclusion based on the ANOVA table? Is there a significant effect of the group? 4. Use the post hoc test to determine if there are any significant differences between the groups.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter6: The Trigonometric Functions
Section6.4: Values Of The Trigonometric Functions
Problem 24E
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1. does the data satisfy the assumptions of ANOVA?

2. Write the null and alternative hypothesis of this study.

3. What is your conclusion based on the ANOVA table? Is there a significant effect of the group?

4. Use the post hoc test to determine if there are any significant differences between the groups.

In a study by Wang et al. (A-6), researchers examined bone strength. They collected 10 cadaveric
femurs from subjects in three age groups: young (19-49 years), middle-aged (50-69 years), and
elderly (70 years or older) [Note: one value was missing in the middle-aged group]. One of the
outcome measures (W) was the force in Newtons required to fracture the bone. The following table
shows the data for the three age groups.
Young (Y)
Middle-aged (MA)
Elderly (E)
193.6
125.4
59.0
137.5
126.5
87.2
84.4
115.9
98.8
122.0
78.1
145.4
94.3
51.9
117.0
99.9
57.1
105.4
83.3
54.7
99.9
72.8
78.6
74.0
83.5
53.7
74.4
96.0
112.8
Source: Data provided courtesy of Xiaodu Wang, Ph.D.
Transcribed Image Text:In a study by Wang et al. (A-6), researchers examined bone strength. They collected 10 cadaveric femurs from subjects in three age groups: young (19-49 years), middle-aged (50-69 years), and elderly (70 years or older) [Note: one value was missing in the middle-aged group]. One of the outcome measures (W) was the force in Newtons required to fracture the bone. The following table shows the data for the three age groups. Young (Y) Middle-aged (MA) Elderly (E) 193.6 125.4 59.0 137.5 126.5 87.2 84.4 115.9 98.8 122.0 78.1 145.4 94.3 51.9 117.0 99.9 57.1 105.4 83.3 54.7 99.9 72.8 78.6 74.0 83.5 53.7 74.4 96.0 112.8 Source: Data provided courtesy of Xiaodu Wang, Ph.D.
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