DISCUSSION 2 *********REPLY TO DISCUSSION************** Lynette Coleby-Albury 17

DISCUSSION 2
*********REPLY TO DISCUSSION**************
Lynette Coleby-Albury
17 hours ago, at 3:00 PM
The data chosen is from the University library using the State, local, & tribal Statistics tab and choosing the United States Census Bureau. The specific dataset and selection criteria were the American Community Survey (ACS) with the vintage year of 2019. The variables selected were Marital Status, Income, Occupation, and State. The independent variables are marital status, occupation, and State. The three variables act as independent because altering them causes the dependent variable to change. In this case, the dependent variable is income, which is observed as the independent variables are adjusted. Therefore, the dependent variable is the effect of the cause, which is the independent variable (Frankfort-Nachmias et al., 2019).
The research questions to correlate to the independent and dependent variables are
Q1 What factors affect the income growth of women in the engineering sector?
Q2 Are women paid less on average as opposed to men in the same occupation?
Q3 Does marital status affect a woman’s ability to earn more income?
Q4 Does income for women vary between different states across the occupational sectors?
Hypotheses are statements that forecast the relationship of two or more variables. They can be described as the educated guess of the researchers, built from theories, or derived through literature reviews (Salkind & Frey, 2019, Frankfort-Nachmias et al., 2019).
The null hypothesis for this data and surrounding these questions is
H0 There will be no difference between the average income of married women and the average income of married men in California.
The research hypothesis for this data and surrounding these questions is
H1 The average income of married men is different from the average income of married women in California
H2 The average income of married men is greater than the average income of married women in California.
Reference
Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2019). Social statistics for a diverse society (9th ed.). SAGE Publications.
Salkind, N. J., & Frey, B. B. (2019). Statistics for people who (think they) hate statistics. Seventh edition (7th ed.). SAGE Publications.