PART IAstrologers assert that our birth dates influence our success (or lack thereof) in life. Test this assumption with the GSS08 data by analyzing the relationship between ZODIAC (Respondents Astrological Sign) with SEI (Respondents Socioeconomic Index). The SEI is an indicator of economic and social-economic attainment. The higher the SEI score, the more successful the respondent.
- Run a descriptive analysis as you did previously (week 2) on SEI and ZODIAC- Use ‘Explore’ to get averages for the different zodiac signs (‘Dependent List’ = SEI; ‘Factor List’ = ZODIAC).
- Create a table of the means and standard deviations for the 12 zodiac signs (in APA format- see instructional video below).
- Conduct an independent samples t-test to see whether there is a difference in SEI between the zodiac signs of Taurus and Capricorn.
- Write up the results of your t-test in APA format. Make sure you integrate the table in your text.
- What type of test did you use?
- What variables did you examine?
- What are the means and standard deviations of the variables?
- What were your findings (please include t value, df, and p value)?
- What do these results suggest?
PART IITest whether there is an association between a persons educational attainment and how much television they watch. Use the GSS08 data set to perform an ANOVA on respondents highest educational degree (DEGREE) and the hours per day they watch television (TVHOURS).
- Run a descriptive analysis on educational degree and the amount of television watched- Use ‘Explore’ to get averages for the educational degrees (‘Dependent List’ = TVHOURS; ‘Factor List’ = DEGREE).
- Create a table of the means and standard deviations for the number of tv hours for the different degrees (in APA format).
- Run an ANOVA to test whether there is a difference between the groups.
- Write up the results of your ANOVA in APA format. Make sure you integrate the table in the text.
- What type of test did you use?
- What variables did you examine?
- What are the means and standard deviations of the variables?
- What were your findings (please include df, F value, and p value)?
- What do these results suggest?
