Fill in the following information: Make a prediction What percent of Americans believe women are less likely to get a job or promoted over a man: ___________ Do you think males and females vary on their perspectives on this issue? YES NO Now perform the analysis with PSPP and find (Remember how to read a table!): Percentage of men (and only men) saying “Somewhat Likely” __________________ Percentage of women (and only women) saying “Somewhat Likely” __________________ Chi Square significance level __________________ Is the relationship statistically significant YES NO How would interpret this result? In other words, what might explain why there is or is not a difference between the groups. Do not just restate the statistics without any interpretation. DQ 1. Using the STATES10 data set, we shall use multiple regression to predict the Percent of Adults with High Blood Pressure (HTH522) using the following indicators: as Percent of Adults who do not Exercise, 2008 (HTH519), Death Rate per 100,000 by Homicide, 2006 (HTH174), and Median Earnings of Male Full-Time Workers, 2008 (EMS168). Constant ___________________ Adjusted R Square ___________________ Regression Coefficient B for HTH519 ___________________ Significance Level ___________________ Is the relationship significant? YES NO Regression Coefficient B for HTH174 ___________________ Significance Level ___________________ Is the relationship significant? YES NO Regression Coefficient B for EMS168 ___________________ Significance Level ___________________ Is the relationship significant? YES NO FOR EACH OF THE FOLLOWING USE THE APPROPRIATE ANALYSIS BASED ON WHAT IS BEING ASKED FOR 1). In the absence of performing an analysis, make a prediction: What percent of Americans view their health as either “excellent”, “good”, “fair” and “poor”? Then use the GSS2014 data (doc sharing), run a frequency on HEALTH, and also create a pie chart. Describe your findings below and explain the extent to which your predictions conformed to the findings. What do these findings suggest about health in America? Exclude missing cases. Predicted Percent Excellent ___________ Good ___________ Fair ___________ Poor ___________ How close were your predictions? If they differed, what do you think was the reason? Valid Percent Excellent ___________ Good ___________ Fair ___________ Poor ___________ Provide a PIE CHART: What do these findings suggest about the state of health in America? 2) Using the GSS2014 data, examine the relationship between race (RACE) and whether patriotic feelings strengthen America (PATRIOT1). Fill in the following information: Make a prediction What percent of Americans “agree” or “strongly agree” that patriotism strengthen America? __________ Do you think Whites and Blacks vary on their perspectives on this issue? YES NO Now perform the analysis with PSPP and find: Percentage of whites agree/strongly agree ________________________ Percentage of African Americans agree/strongly agree ________________________ Percent of Others agree/strongly agree ________________________ Chi Square significance level ________________________ Is the relationship statistically significant YES NO How would interpret this result? In other words, what might explain why there is or is not a difference between the groups. Do not just restate the statistics without any interpretation. 3) Using the GSS2014 data, examine the relationship between sex (SEX) and the belief that a woman will not get a job or promotion over a man (DISCAFFW). Fill in the following information: Make a prediction What percent of Americans believe women are less likely to get a job or promoted over a man: ___________ Do you think males and females vary on their perspectives on this issue? YES NO Now perform the analysis with PSPP and find: Percentage of men saying “Somewhat Likely” or “Very Likely” __________________ Percentage of women saying “Somewhat Likely” or “Very Likely” __________________ Chi Square significance level __________________ Is the relationship statistically significant YES NO How would interpret this result? In other words, what might explain why there is or is not a difference between the groups. Do not just restate the statistics without any interpretation. 4. Perform a paired t-test to compare the respondent’s occupational prestige score (PRESTG10) to the respondent’s father’s occupational prestige score (PAPRES10) using the GSS2014 data set. Respondent’s occupational prestige score? ___________________ Respondent’s father’s occupational prestige score? ___________________ Significance for the Paired Samples Test? ___________________ Is the relationship statistically significant Yes No Assignment 1. Are prestige related to generation? What were you expecting to find and did you find it?