Statistics for the Behavioral Sciences
3rd Edition
ISBN: 9781506386256
Author: Gregory J. Privitera
Publisher: SAGE Publications, Inc
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Chapter 12, Problem 9FP
To determine
Observe whether the post hoc tests are necessary following a significant ANOVA testing one independent variable with two levels or not.
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Interpret this two way anova and multiple comparisons test with the data provided
13. Are post hoc tests necessary following a significant ANOVA testing one independent variable
with 2 levels. Explain.
14. Explain what F(2, 12) means.
A researcher notes that there seems to be a difference in the prevalence of high blood pressure among college-educated individuals who consume low amounts of processed foods and the prevalence of individuals who only have a high school education and consume high amounts of processed foods. Use the appropriate hypothesis to test for the independence of the two independent variables presented here at the 5% significance level to ensure confounding has not influenced the study’s results. Then, interpret your response. please explain .
Diet Low in Processed Foods
Normal BP
High BP
Total
College Education
124
55
179
High School Education
69
152
221
Total
193
207
400
Diet High in Processed Foods
Normal BP
High BP
Total
College Education
64
85
149
High School Education
98
153
251
Total
162
238
400
A) The chi square value of 158.652 is higher than the chi square value of 3.84; therefore, we do not…
Chapter 12 Solutions
Statistics for the Behavioral Sciences
Ch. 12.2 - Prob. 1.1LCCh. 12.2 - Prob. 1.2LCCh. 12.2 - Prob. 1.3LCCh. 12.2 - Prob. 1.4LCCh. 12.4 - Prob. 2.1LCCh. 12.4 - Prob. 2.2LCCh. 12.4 - Prob. 2.3LCCh. 12.4 - Prob. 2.4LCCh. 12.6 - Prob. 3.1LCCh. 12.6 - Prob. 3.2LC
Ch. 12.6 - Prob. 3.3LCCh. 12.6 - Prob. 3.4LCCh. 12.6 - Prob. 3.5LCCh. 12.6 - Prob. 3.6LCCh. 12.7 - Prob. 4.1LCCh. 12.7 - Prob. 4.2LCCh. 12.7 - Prob. 4.3LCCh. 12.9 - Prob. 5.1LCCh. 12.9 - Prob. 5.2LCCh. 12 - Prob. 1FPCh. 12 - Prob. 2FPCh. 12 - Prob. 3FPCh. 12 - Prob. 4FPCh. 12 - Prob. 5FPCh. 12 - Prob. 6FPCh. 12 - Prob. 7FPCh. 12 - Prob. 8FPCh. 12 - Prob. 9FPCh. 12 - Prob. 10FPCh. 12 - Prob. 11FPCh. 12 - Prob. 12FPCh. 12 - Prob. 13CAPCh. 12 - Prob. 14CAPCh. 12 - Prob. 15CAPCh. 12 - Prob. 16CAPCh. 12 - Prob. 17CAPCh. 12 - Prob. 18CAPCh. 12 - Prob. 19CAPCh. 12 - Prob. 20CAPCh. 12 - Prob. 21CAPCh. 12 - Prob. 22CAPCh. 12 - Prob. 23CAPCh. 12 - Prob. 24CAPCh. 12 - Prob. 25CAPCh. 12 - Prob. 26CAPCh. 12 - Prob. 27CAPCh. 12 - Prob. 28CAPCh. 12 - Prob. 29PRCh. 12 - Prob. 30PRCh. 12 - Prob. 31PRCh. 12 - Prob. 32PRCh. 12 - Prob. 33PRCh. 12 - Prob. 34PR
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- 1a. Should post-hoc tests be run if a researcher has failed to reject the null hypothesis for an ANOVA? Explain why or why not. 1b. The total variability in an ANOVA contains which two subtypes of variability?arrow_forwardHow does a repeated-measures ANOVA differ from an independent ANOVA?arrow_forwardOne advantage of a within subjects ANOVA is that the participants serve as their own comparisons true or false?arrow_forward
- A researcher notes that there seems to be a difference in the prevalence of high blood pressure among college-educated individuals who consume low amounts of processed foods and the prevalence of individuals who only have a high school education and consume high amounts of processed foods. Use the appropriate hypothesis to test for the independence of the two independent variables presented here at the 5% significance level to ensure confounding has not influenced the study’s results. Then, interpret your response. Diet Low in Processed Foods Normal BP High BP Total College Education 124 55 179 High School Education 69 152 221 Total 193 207 400 Diet High in Processed Foods Normal BP High BP Total College Education 64 85 149 High School Education 98 153 251 Total 162 238 400 The chi square value of 37.724 is higher than the chi square value of 3.84; therefore, we can accept H0 at…arrow_forwardWould an experiment design that would be analyzed with a repeated measures ANOVA be superior or inferior to one analyzed by a factorial ANOVA? Explain your reasoning.arrow_forwardWhat is the relationship between the F-ratio for a repeated-measures ANOVA and the F-ratio for an independent-measures ANOVA? Specifically, describe the role of individual differences in each.arrow_forward
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