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Sex-role stereotyping ~ The article "A Cross-Cultural Content Analysis of Sex-Role Stereotyping in Television Advertisements" compares sex-role stereotyping in British and New Zealand television advertisements. One of the coding or classification procedures involved the Location where the central figures in the advertisement were depicted. The researchers were interested in determining whether there is an association between Sex of the central figures and Location where they are depicted in the advertisement. The table below summarize the observed data for Great Britain, consistent with the article mentioned above. Male Female Total Occupational 17 18 35 Domestic 10 38 48 Leisure 45 16 61 Elsewhere 11 14 25 Total 83 86 169 Researchers want to conduct a hypothesis test using the hypotheses: Ho: There is no relationship between the variables Sex and Location. H.: There is a relationship between the variables Sex and Location. Round all calculated answers to 4 decimal places where appropriate. 1. Which statistical test should they use? OA. x? test of independence OB. t-test for the slope of the regression line OC. Z-test for one population proportion OD. t-test for a sample mean OE. x? goodness of fit test 2. What is the degrees of freedom for this test? df = 3. Under the null hypothesis model, what is the expected count for Female in the Domestic location? Expected count =

Sex-role stereotyping ~ The article "A Cross-Cultural Content Analysis of Sex-Role Stereotyping in Television Advertisements" compares sex-role stereotyping in British and New Zealand television advertisements. One of the coding or classification procedures involved the Location where the central figures in the advertisement were depicted. The researchers were interested in determining whether there is an association between Sex of the central figures and Location where they are depicted in the advertisement. The table below summarize the observed data for Great Britain, consistent with the article mentioned above. Male Female Total Occupational 17 18 35 Domestic 10 38 48 Leisure 45 16 61 Elsewhere 11 14 25 Total 83 86 169 Researchers want to conduct a hypothesis test using the hypotheses: Ho: There is no relationship between the variables Sex and Location. H.: There is a relationship between the variables Sex and Location. Round all calculated answers to 4 decimal places where appropriate. 1. Which statistical test should they use? OA. x? test of independence OB. t-test for the slope of the regression line OC. Z-test for one population proportion OD. t-test for a sample mean OE. x? goodness of fit test 2. What is the degrees of freedom for this test? df = 3. Under the null hypothesis model, what is the expected count for Female in the Domestic location? Expected count =

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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**Sex-role stereotyping** The article "A Cross-Cultural Content Analysis of Sex-Role Stereotyping in Television Advertisements" compares sex-role stereotyping in British and New Zealand television advertisements. One of the coding or classification procedures involved the Location where the central figures in the advertisement were depicted. The researchers were interested in determining whether there is an association between Sex of the central figures and Location where they are depicted in the advertisement. The table below summarizes the observed data for Great Britain, consistent with the article mentioned above. | | Male | Female | Total | |---------------|------|--------|-------| | Occupational | 17 | 18 | 35 | | Domestic | 10 | 38 | 48 | | Leisure | 45 | 16 | 61 | | Elsewhere | 11 | 14 | 25 | | **Total** | 83 | 86 | 169 | Researchers want to conduct a hypothesis test using the hypotheses: - \(H_0\): There is no relationship between the variables Sex and Location. - \(H_a\): There is a relationship between the variables Sex and Location. Round all calculated answers to 4 decimal places where appropriate. 1. **Which statistical test should they use?** - A. \(\chi^2\) test of independence - B. t-test for the slope of the regression line - C. Z-test for one population proportion - D. t-test for a sample mean - E. \(\chi^2\) goodness of fit test 2. **What is the degrees of freedom for this test?** \(df = \ _\) 3. **Under the null hypothesis model, what is the expected count for Female in the Domestic location?** Expected count = \ ___
Transcribed Image Text:**Sex-role stereotyping** The article "A Cross-Cultural Content Analysis of Sex-Role Stereotyping in Television Advertisements" compares sex-role stereotyping in British and New Zealand television advertisements. One of the coding or classification procedures involved the Location where the central figures in the advertisement were depicted. The researchers were interested in determining whether there is an association between Sex of the central figures and Location where they are depicted in the advertisement. The table below summarizes the observed data for Great Britain, consistent with the article mentioned above. | | Male | Female | Total | |---------------|------|--------|-------| | Occupational | 17 | 18 | 35 | | Domestic | 10 | 38 | 48 | | Leisure | 45 | 16 | 61 | | Elsewhere | 11 | 14 | 25 | | **Total** | 83 | 86 | 169 | Researchers want to conduct a hypothesis test using the hypotheses: - \(H_0\): There is no relationship between the variables Sex and Location. - \(H_a\): There is a relationship between the variables Sex and Location. Round all calculated answers to 4 decimal places where appropriate. 1. **Which statistical test should they use?** - A. \(\chi^2\) test of independence - B. t-test for the slope of the regression line - C. Z-test for one population proportion - D. t-test for a sample mean - E. \(\chi^2\) goodness of fit test 2. **What is the degrees of freedom for this test?** \(df = \ _\) 3. **Under the null hypothesis model, what is the expected count for Female in the Domestic location?** Expected count = \ ___
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