Brilliant Answer Peers

Respond to your colleague’ posts and comment on the following:

1. Do you think the variables are appropriately used? Why or why not?

2. Does the analysis answer the research question? Be sure and provide constructive and helpful comments for possible improvement.

3. As a lay reader, were you able to understand the results and their implications? Why or why not?

Colleague

RQ: To what extent does the respondent's sex influence if there is a gun in the home.

Ho: The respondent's sex does not influence if there is a gun in the home.

Ha: The respondent's sex does influence if there is a gun in the home.

Independent Variable: Respondent's sex

Dependent Variable: Have a gun in the home.

In the General Social Survey Dataset, the mean age is 48.62.  The categorical variables reviewed are the sex of the respondent and the gun in the home.  To measure these variables, chi-squared was used.  The chi-squared test is an inferential technique designed to test for a significant relationship between two variables organized in a bivariate table that is applied to nominal or ordinal data (Frankfort-Nachmias et. al, 2020, p.329). The sample size is 342, and data presented on the Chi-Square Tests Table shows the study is not significant because the p-value > .05, therefore the null would be accepted. 

Reference:

Frankfort_Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.