Question

The table below summarizes data from a survey of a sample of women. Using a 0.05 significance​ level, and assuming that the sample sizes of 700 men and 400 women are​ predetermined, test the claim that the proportions of​ agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of​ women? Gender of Interviewer Man Woman Women who agree 470 313 Women who disagree 230 87

Compute the test statistic.

Answer 1

Tabulated Statistics: C1, Worksheet columns

Rows: C1   Columns: Worksheet columns

	Men	Women	All
Agree	470	313	783
Expected count	498.3	284.7
Disagree	230	87	317
Expected count	201.7	115.3
All	700	400	1100

Cell Contents
      Count
  

Chi-Square Test

	Chi-Square	DF	P-Value
Pearson	15.3086	1	0.0001