This exercise will take you through the steps in the calculation of a t-test for proportions.

In the study of sexual behavior and attitudes in a large city (Laumann et al. 2004), the researchers compared respondents from different neighborhoods. For a sample of 175 men from Shoreland (a predominantly white middle-class neighborhood with a large gay and lesbian population), 24% reported that their friends were all heterosexual, while for a sample of 81 men from Erlinda (a predominantly Hispanic/Puerto Rican working-class neighborhood), 87% reported that their friends were all heterosexual. Is this a statistically significant difference in proportions, or is the difference probably just the result of sampling error?

Perform an independent-samples t-test for difference in proportions to see if this difference is statistically significant.