2. Using General Social Service (GSS) data

a. open and save GSS data: GSS2016.sav

b. Following earlier examples, use the attached information about GSS describe the sample.

n = 1000

The sample will consist of both male and female who have a college degree and his or her total family income meets the minimum of $10000.

c. Review the variables and select which variables you will use for your research paper.

For my research project I will use DEGREE, SEX, INCOME as my three terms.

d. Describe the variables:

DEGREE(Rs highest degree)

SEX(Respondent's sex)

INCOME(Total family income)

1) Define the variables you will use

Degree: Categorical - Ordinal - (Qualitative) (Polychotomies)

Sex: Categorical - Nominal - (Qualitative) (Dichotomous)

Income: Continuous - Ordinal - ( Quantitative) (Polychotomies)

2) List the categories of each variable

Degree: (2 - Junior college), (3 - Bachelor),(4 - Graduate)

Sex: (1 - Female), (2 - Male)

Income: ( 9 - $10000 - 14999), (10 - $15000 - 19999), (11 - $20000 - 24999), (12 - $25000 - or more),( 99 - No Answer)

3) Write your hypothesis

H0: An individual's sex has no effect on income when compared to the opposite gender with the same level degree.

H1: An individual's sex has an effect on income when compared to the opposite gender with the same level degree.

Which statistics would I use to analyze the data? and did I answer the above question correctly?