INSTRUCTIONS
1) Is there a relationship between a person’s age (AGE) and the number of hours spent per day watching TV (TVHOURS)? Use the GSS 2018 data to test this relationship.
Make a prediction:
What is the mean (average) number of hours people spend watching television each day? _________
Would expect the correlation between age and television viewing to be
Negative Nonexistent Positive
Now perform the analysis with PSPP and find:
Correlation __________________ (Pearson’s)
Significance Level __________________ (as stated in PSPP output below the correlation coefficient )
Is the relationship statistically significant? Yes No
Do people tend to watch more or less TV as they age More Less
How would you explain these findings?
2A) Using the STATES10 data, perform a test to see if there is a relationship between the percent of the population that graduated high school (EDS131) and median earnings of male full-time workers (EMS168) in the state.
Summarize and interpret your findings below:
Correlation __________________ (Pearson’s)
Significance Level __________________ (as stated in PSPP output below the correlation coefficient )
Is the relationship statistically significant? Yes No
Use the Scatterplot function under graph (Include Scatterplot here or with the output)
How would you explain these findings as part of an information strategy to lobby for additional resources to prevent high school drop-outs?
A) How would you interpret this result without just reference to the level of significance? What do you observe in the findings? Be specific.
2B) How does the percent graduated (EDS131) relate to the median earnings of female full-time workers (EMS169)? Is the relationship the same as for male workers (EMS168)?
Summarize and interpret your findings below
Correlation __________________ (Pearson’s)
Significance Level __________________ (as stated in PSPP output below the correlation coefficient )
Is the relationship statistically significant? Yes No
Include a scatterplot
How would you explain these findings? Is there a difference?
If, yes, what could explain any difference? From a policy standpoint should this be a concern?
2C) Percent of the Population with a Bachelor’s Degree or More (EDS154) and Median Earnings of Female Full-Time Earnings (EMS169)
Correlation __________
Significance Level ___________
Is the relationship statistically significant? _____________
From a policy standpoint what do any differences suggest should be done. Be specific.
3) Is there a relationship between the average salary of classroom teachers (EDS125) and the percent of the population that has graduated high school (EDS131). Use the STATES10 data to test this relationship. Summarize and interpret your findings below:
Now perform the analysis with PSPP and find:
Correlation __________________ (Pearson’s)
Significance Level __________________ (as stated in PSPP output below the correlation coefficient )
Is the relationship statistically significant? Yes No
Include a scatterplot
How would you explain these findings?
Based on these results-from a policy standpoint, what could be done?
IMPORTANT: After you have submitted your assignment the answers will be made available below. If you have any responses that are incorrect, resubmit your corrected responses along with explanations of what you did incorrectly no later than two days after the due date.
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