Essential Statistics for the Behavioral Sciences
2nd Edition
ISBN: 9781506386300
Author: Gregory J. Privitera
Publisher: SAGE Publications, Inc
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Chapter 14, Problem 11FP
a.
To determine
To explain: The formula to calculate the effect size measure Phi coefficient for Chi-square test for independence.
b.
To determine
To explain: The formula to calculate the effect size measure Crammer’s V for chi-square test for independence.
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Students have asked these similar questions
A researcher calculates a chi-square of 3.244 from a 2x4 chi-square test for independence. Which of the following should be used to determine the effect size?
Select one:
a.
Cohen's d
b.
Phi-coefficient
c.
Cohen's w
d.
Cramer's V
In the context of chi square, variables are independent if
a. they are related
b. cause and effect can be proved
c. the obtained chi square falls in the critical region
d. the score of a case on one variable has no effect on the score of the case on the other variable
A researcher collects data that represents the average number of hours of sleep in the last two nights by 8 depressed patients and 9 non-depressed patients. The researcher is interested in whether the two groups reliably differ in the amount of sleep they get.
Use Jamovi to calculate t-obt and the p value.
Chapter 14 Solutions
Essential Statistics for the Behavioral Sciences
Ch. 14 - Prob. 1FPCh. 14 - Prob. 2FPCh. 14 - Prob. 3FPCh. 14 - Prob. 4FPCh. 14 - Prob. 5FPCh. 14 - Prob. 6FPCh. 14 - Prob. 7FPCh. 14 - Prob. 8FPCh. 14 - Prob. 9FPCh. 14 - Prob. 11FP
Ch. 14 - Prob. 12FPCh. 14 - Prob. 13CAPCh. 14 - Prob. 14CAPCh. 14 - Prob. 15CAPCh. 14 - Prob. 16CAPCh. 14 - Prob. 17CAPCh. 14 - Prob. 18CAPCh. 14 - Prob. 19CAPCh. 14 - Prob. 20CAPCh. 14 - Prob. 21CAPCh. 14 - Prob. 22CAPCh. 14 - Prob. 23CAPCh. 14 - Prob. 24CAPCh. 14 - Prob. 25CAPCh. 14 - Prob. 26CAPCh. 14 - Prob. 27PRCh. 14 - Prob. 28PRCh. 14 - Prob. 29PRCh. 14 - Prob. 30PRCh. 14 - Prob. 31PRCh. 14 - Prob. 32PR
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- for the following table , find first skewness coefficient .arrow_forwardWhat does the chi-square test of independence test for? a.if the two variables tested combine somehow to influence the frequencies observed b.if the two variables are significantly similar to each other c.if the two variables tested are both dependent on the frequencies c.if the two variables are significantly different from each otherarrow_forwardEXER 6.3 Find the covariance and the correlation coefficient between X and Y, if X and Y are jointly discrete random variables, with joint PMF given by: SHOW SOLUTIONS X\Y 0 1 6 0 28 6 1 28 2 0 333333 28 28 28 2120 28 0arrow_forward
- If the coefficient of determination between two independent variables is 0.23, what is the VIF?arrow_forwardThe contingency table to the right shows counts of the types of gasoline bought during the week and during weekends. (a) Find the value of chi-squared and Cramer's V for this table. (b) Interpret these values. What do these tell you about the association in the table? (a) x² = (Round to two decimal places as needed.) Premium Plus Regular Total Weekday Weekend Total 124 124 248 96 194 290 469 106 689 424 575 1113 narrow_forwardUse the Kruskal-Wallis Test and α = 0.05 to determine whether there is significant difference in the performance ratings forthe products.arrow_forward
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