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	20	18	38
Domestic	10	36	46
Leisure	40	15	55
Elsewhere	10	14	24
Total	80	83	163

Researchers want to conduct a hypothesis test using the hypotheses:H0H0: There is no relationship between the variables Sex and Location.HaHa: 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. 22 goodness of fit test B. t-test for a sample mean C. t-test for the slope of the regression line D. 22 test of independence E. Z-test for one population proportion2. What is the degrees of freedom for this test?df=df= 3. Under the null hypothesis model, what is the expected count for Female in the Occupational location?Expected count = 4. Calculate the contribution to the test statistic for Female in the Occupational location.Contribution = 5. Calculate the test statistic for this procedure.2=2= 6. Calculate the p-value.p-value = 7. Based on the p-value, we have ? little evidence some evidence strong evidence very strong evidence extremely strong evidence that the null model is not a good fit for our observed data.