This discussion is intended to help develop the skills needed to analyze and interpret statistical data.  Part of the analytical and interpretation process is being able to set aside our own biases and perceptions when examining the results.  Another part of the analytical and interpretation process is to not assert more than the data will support.  

Please attach the original PSPP output to your initial discussion post.  

1. Use PSPP to find the bivariate correlation between Per Capita State and Local Govt. Spending for Elem. and Second. Education: 2007 (EDS140) and the percent of the population with a Bachelor’s Degree or More (EDS154).  Report the following information:
     1A. Correlation:
     1B. Significance Level:
     1C. Is the relationship statistically significant? Explain. 

2. Use PSPP to find the bivariate correlation between Percent of the Population with a Bachelor’s Degree or More (EDS154) and State Minimum Wage Rates (EMS170). Report the following information:
     2A. Correlation:
     2B. Significance Level:
     2C. Is the relationship statistically significant? Explain.

3. What do the correlations tells us about government spending, education, and income? (Note: For statistically significant correlations, be sure to include in your explanation the size and direction of the correlation.)  Remember the null hypothesis is that there is no association. Answer as though your audience has little, if any, statistical knowledge.  The audience is most interested to learn what factors explain the correlation (or lack of a correlation).