Data analysis project. Using Citrix workspace In this project assignment, you will need to conduct a hypothesis test about two population means. You can use the General Social Survey (gss.sav) datase
Do males and females work the same amount of hours per week?
An Analysis using Two-sample T-test
By: Antonia Meizinger
PAD 4702
Through this research I wanted to test a sample of males and females to see if both genders worked the same amount of hours per week. I used the data points of “Number of hours worked last week” in order to see who worked more throughout the week. The dataset is taken from the resource center of GSS.sav. I find this topic interesting because a lot of people believe that males should be the workers in the family while the females stay at home. I do not agree with this statement and think they should both work the same amount of hours per week.
Statement of Research Question
The research question examined by this study is the following: Do males and females work the same amount of hours per week? This research is done with the objective to understand the difference in hours worked per week between males and females. I wanted to see if there were any significant differences between genders and the hours that they worked.
Hypotheses to be Tested
In order to answer the research question above, the hypotheses to be tested are:
(Null Hypothesis) Ho= Males and females, on average, work the same amount of hours per week.
(Alternative Hypothesis) HA= Males and females, on average, do not work the same amount of hours per week.
Methodology
I used two-independent-samples t tests because a determination is being made as to whether two distinctly different populations’ – males and females - means for hours worked per week are equal based upon the results observed in two independent samples, one sample from each population. For this study I did not use the two paired samples t test because that specific test is used to compare two population means where you have two samples in which observations in one sample can be paired with observations in the other sample. Therefore, the two-independent-samples t test is the appropriate test for this study.
Descriptive Statistics
Descriptive Statistics | | | | | |
Minimum | Maximum | Mean | Std. Deviation | ||
Number of hours worked last week | 909 | 89 | 42.51 | 13.730 | |
Valid N (listwise) | 909 |
There are 909 valid observations for the hours worked last week. Someone worked a minimum of three and then there was a maximum of 89. The average number of hours worked last week was 42.51. I will use this table to see the averages of both genders.
Group Statistics | | | | | |
Respondent's sex | Mean | Std. Deviation | Std. Error Mean | ||
Number of hours worked last week | Male | 455 | 46.09 | 13.280 | .623 |
Female | 454 | 38.93 | 13.243 | .622 |