Question

In: Statistics and Probability

8.Both ANOVA and Chi square tests are always right tail tests 10.For ANOVA, you only complete...

8.Both ANOVA and Chi square tests are always right tail tests 10.For ANOVA, you only complete a Tukey's means comparisons test if the overall F* value was significant (i.e., p<0.05) T/F

10.For ANOVA, you only complete a Tukey's means comparisons test if the overall F* value was significant (i.e., p<0.05) T/F

Solutions

Expert Solution

8.Both ANOVA and Chi square tests are always right tail tests. The answer is False

I assumed that we have say T/F.

ANOVA is an one sided test but a Chi Squared cannot be.

Reasons: Since the Hypothesis of a Chi Square test can be

and

and

10.For ANOVA, you only complete a Tukey's means comparisons test if the overall F* value was significant (i.e., p<0.05) T/F

The answer is False since Tuckey's test is completed only when the F* value for that(those) mean(s) particular factor in the model was significant. It is not the overall F* and it is that particular F* for that effect.

10.For ANOVA, you only complete a Tukey's means comparisons test if the overall F* value was significant (i.e., p<0.05) T/F

The answer is False since Tuckey's test is completed only when the F* value for that(those) mean(s) particular factor in the model was significant. It is not the overall F* and it is that particular F* for that effect.(This question was repeated)


Related Solutions

Question 7 Chi Square tests have an assumption of normality True False Question 8 Both ANOVA...
Question 7 Chi Square tests have an assumption of normality True False Question 8 Both ANOVA and Chi square tests are always right tail tests True False Question 9 For a Chi Square test of Association, you ask if mouse hair color (black, grey or white) is associated with whisker length (short, medium or long). The df for this analysis would be: Give answer as X Question 10 For ANOVA, you only complete a Tukey's means comparisons test if the...
Explain how the chi-square tests differ from parametric tests (such as t tests or ANOVA) with...
Explain how the chi-square tests differ from parametric tests (such as t tests or ANOVA) with respect to the hypotheses, the data, and the assumptions underlying the test.
Week 10 Discussion Chi-square tests are nonparametric tests that examine nominal categories as opposed to numerical...
Week 10 Discussion Chi-square tests are nonparametric tests that examine nominal categories as opposed to numerical values. Consider a situation in which you may want to transform numerical scores into categories. Provide a specific example of a situation in which categories are more informative than the actual values. Suppose we had conducted an ANOVA, with individuals grouped by political affiliation (Republican, Democrat, and Other), and we were interested in how satisfied they were with the current administration. Satisfaction was measured...
Assignment #7: One-sample Chi-Square Directions: Use the Chi-Square option in the Nonparametric Tests menu to answer...
Assignment #7: One-sample Chi-Square Directions: Use the Chi-Square option in the Nonparametric Tests menu to answer the questions based on the following scenario. (Assume a level of significance of .05 and use information from the scenario to determine the expected frequencies for each category) During the analysis of the district data, it was determined that one high school had substantially higher Graduate Exit Exam scores than the state average and the averages of high schools in the surrounding districts. To...
Assignment #7: One-sample Chi-Square Directions: Use the Chi-Square option in the Nonparametric Tests menu to answer...
Assignment #7: One-sample Chi-Square Directions: Use the Chi-Square option in the Nonparametric Tests menu to answer the questions based on the following scenario. (Assume a level of significance of .05 and use information from the scenario to determine the expected frequencies for each category) During the analysis of the district data, it was determined that one high school had substantially higher Graduate Exit Test scores than the state average and the averages of high schools in the surrounding districts. To...
You will perform a Chi-Square test and an ANOVA test. For each hypothesis test make sure...
You will perform a Chi-Square test and an ANOVA test. For each hypothesis test make sure to report the following steps: Identify the null hypothesis, Ho, and the alternative hypothesis, Ha. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. Find the critical value(s) and identify the rejection region(s). Find the appropriate standardized test statistic. If convenient, use technology. Decide whether to reject or fail to reject the null hypothesis. Interpret the decision in the context of the original...
When would you use ANOVA instead of a chi-square test? Is it possible to establish through...
When would you use ANOVA instead of a chi-square test? Is it possible to establish through a regression analysis if a variable is a dependent or an independent variable? Why or why not?
Chi-square tests are nonparametric tests that examine nominal categories as opposed to numerical values. Consider a...
Chi-square tests are nonparametric tests that examine nominal categories as opposed to numerical values. Consider a situation in which you may want to transform numerical scores into categories. Provide a specific example of a situation in which categories are more informative than the actual values. Suppose we had conducted an ANOVA, with individuals grouped by political affiliation (Republican, Democrat, and Other), and we were interested in how satisfied they were with the current administration. Satisfaction was measured on a scale...
In Chi-square goodness of fit and contingency table tests, it is sometimes necessary to reduce the...
In Chi-square goodness of fit and contingency table tests, it is sometimes necessary to reduce the number of classifications used in order to do what? Explain why. Statistics
Use the Chi-Square option in the Nonparametric Tests menu to answer the questions based on the...
Use the Chi-Square option in the Nonparametric Tests menu to answer the questions based on the following scenario. (Assume a level of significance of .05 and use information from the scenario to determine the expected frequencies for each category). Scenario: During the analysis of the district data, it was determined that one high school had substantially higher Graduate Exit Exam scores than the state average and the averages of high schools in the surrounding districts. To better understand possible reasons...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT