Statistics for the Behavioral Sciences
3rd Edition
ISBN: 9781506386256
Author: Gregory J. Privitera
Publisher: SAGE Publications, Inc
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Chapter 17, Problem 12FP
To determine
Explain when does only Cramer’s V measure of effect size is used with the chi-square test for independence.
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What does the chi-square test of independence test for?
Option C is not correct.
if the two variables combine or influence each other
if the two variables are significantly different from each other
if the two variables tested are both dependent on the frequencies
if the two variables are significantly similar to each other
A recent study of 100 individuals found the following living arrangements for men and women. Can it be concluded that there is a dependent relationship between gender and living arrangements at the α = 0.025 level of significance. Use the chi-square test of independence.
A recent study of 100 individuals found the following living arrangements for men and women. Can it be concluded that there is a dependent relationship between gender and living arrangements at the α = 0.025 level of significance. Use the chi-square test of independence.
Spouse
Relative
Nonrelative
Alone
Men
58
7
27
8
Women
57
6
26
11
Chapter 17 Solutions
Statistics for the Behavioral Sciences
Ch. 17.2 - Prob. 1.1LCCh. 17.2 - Prob. 1.2LCCh. 17.2 - Prob. 1.3LCCh. 17.2 - Prob. 1.4LCCh. 17.3 - Prob. 2.1LCCh. 17.3 - Prob. 2.2LCCh. 17.5 - Prob. 3.1LCCh. 17.5 - Prob. 3.2LCCh. 17.5 - Prob. 3.3LCCh. 17.6 - Prob. 4.1LC
Ch. 17.6 - Prob. 4.2LCCh. 17.6 - Prob. 4.3LCCh. 17.9 - Prob. 5.1LCCh. 17.9 - Prob. 5.2LCCh. 17.9 - Prob. 5.3LCCh. 17 - Prob. 1FPCh. 17 - Prob. 2FPCh. 17 - Prob. 3FPCh. 17 - Prob. 4FPCh. 17 - Prob. 5FPCh. 17 - Prob. 6FPCh. 17 - Prob. 7FPCh. 17 - Prob. 8FPCh. 17 - Prob. 9FPCh. 17 - Prob. 10FPCh. 17 - Prob. 11FPCh. 17 - Prob. 12FPCh. 17 - Prob. 13CAPCh. 17 - Prob. 14CAPCh. 17 - Prob. 15CAPCh. 17 - Prob. 16CAPCh. 17 - Prob. 17CAPCh. 17 - Prob. 18CAPCh. 17 - Prob. 19CAPCh. 17 - Prob. 20CAPCh. 17 - Prob. 21CAPCh. 17 - Prob. 22CAPCh. 17 - Prob. 23CAPCh. 17 - Prob. 24CAPCh. 17 - Prob. 25CAPCh. 17 - Prob. 26CAPCh. 17 - Prob. 27PRCh. 17 - Prob. 28PRCh. 17 - Prob. 29PRCh. 17 - Prob. 30PRCh. 17 - Prob. 31PRCh. 17 - Prob. 32PR
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- What conditions need to be met to run a Chi-square test of independence? Variables must be independent. Cell counts must be at least 5. expected cell counts must be at least 5. Variables must be related.arrow_forwardWhy might a T-test be more useful in actual practice when you are running statistics rather than a Z-test? Give an example of a situation where you might use each of these and label their pros and cons.arrow_forwardThe data in the contingency table to the right count the number of male and female shoppers who accept or reject a discounted offer in return for supplying a retailer with an email address. Consider using these data to test the null hypothesis that gender and acceptance are independent (H0). Male Female Accept 105 95 Reject 95 105 (c) Find the value of x2(chi-square) for testing H0. The value of x2 (chi-square)for testing H0 is _____. (Round to three decimal places as needed.) (d) Find the p-value for testing H 0. (Round to three decimal places as needed.)arrow_forward
- A researcher tested the relationship between gender and support for assisted suicide (“death with dignity”) and found a Cramer’s V of 0.45. This relationship is strong weak positive significant but not importantarrow_forwardr. Lyte wishes to study speed of Reaction Time to press a button in response to the onset of a lamp. The independent variable (IV) is the color of the light produced by the lamp (red, orange, yellow, green, or blue). Since only 10 participants are available, she elects to administer the IV within-subjects with all 10 participants being exposed to all five levels of the color variable. The order of the color of the light presentation is to be counterbalanced. Using concepts from the textbook, why would Dr. Lyte need to use counterbalancing in this scenario?arrow_forwardA contingency table for two nominal variables has three (3) row and four (4) columns. The number of degrees of freedom associated with the chi-square test of variable independence will be df= 7. True or false?arrow_forward
- The manager of the city pool has scheduled extra lifeguards to be on staff for Saturdays. However, he suspects that Fridays may be more popular than the other weekdays as well. If so, he will hire extra lifeguards for Fridays, too. In order to test his theory that the daily number of swimmers varies on weekdays, he records the number of swimmers each day for the first week of summer. Test the manager’s theory at the 0.10 level of significance. Swimmers at the City PoolMonday Tuesday Wednesday Thursday FridayNumber 46 68 43 51 70 Step 1 of 4 : State the null and alternative hypotheses in terms of the expected proportion for each day. Enter your answer as a fraction or a decimal rounded to six decimal places, if necessary. H0: pi=⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯Ha: There is a difference in the number of swimmers from day to day.arrow_forwardThe manager of the city pool has scheduled extra lifeguards to be on staff for Saturdays. However, he suspects that Fridays may be more popular than the other weekdays as well. If so, he will hire extra lifeguards for Fridays, too. In order to test his theory that the daily number of swimmers varies on weekdays, he records the number of swimmers each day for the first week of summer. Test the manager’s theory at the 0.01 level of significance. Swimmers at the City Pool Monday Tuesday Wednesday Thursday Friday Number 64 46 41 56 70 Copy Data Step 2 of 4 : Calculate the expected value for the number of swimmers on Tuesday. Enter your answer as a fraction or a decimal rounded to three decimal places.arrow_forwardThe manager of the city pool has scheduled extra lifeguards to be on staff for Saturdays. However, he suspects that Fridays may be more popular than the other weekdays as well. If so, he will hire extra lifeguards for Fridays, too. In order to test his theory that the daily number of swimmers varies on weekdays, he records the number of swimmers each day for the first week of summer. Test the manager’s theory at the 0.01 level of significance. Swimmers at the City Pool Monday Tuesday Wednesday Thursday Friday Number 64 46 41 56 70 Copy Data Step 1 of 4 : State the null and alternative hypotheses in terms of the expected proportion for each day. Enter your answer as a fraction or a decimal rounded to six decimal places, if necessary. H0H0: pi=⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯HaHa: There is a difference in the number of swimmers from day to day.arrow_forward
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