Using the GSS2012 data, examine the relationship between attitudes toward the level of national assistance for childcare (NATCHILD) and the sex of the respondent (SEX). Fill in the following information:

Now perform the analysis with PSPP and find:

Percentage of men (of only men) stating the current level is too little ________________________

Percentage of women (of only women) stating the current level is too little ________________________

Chi Square significance level ________________________

Is the relationship statistically significant YES NO

How would interpret this result? What might explain why there is or is not a significant difference in the means between the two groups (male and female). The null hypothesis for the Chi Square test is that there is no differences between the means of various groups or categories. So, if the result is significant, we can reject (rather than confirm) the null hypothesis and indicate that there is a significant difference.

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PA-503-6A-71 Program Eval:Implem & Eval (Online Graduate – MPA)

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Make sure you read the question and use the proper data set. You must answer all the parts of a question to have any possibility of receiving full credit.

Please respond by Friday–If first post is Saturday (-33%), Sunday (-66%), or Monday (no points). Make sure you check to see if you need to respond to any question I might have for you.

Chapter 10 Practice Problem

Is there a relationship between Per Capita State and Local Govt. Spending for Elem. and Second. Education: 2007 (EDS140) 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 __________________

Significance Level __________________

Is the relationship statistically significant? Yes No

How would you interpret and explain these findings? Remember the null hypothesis is that there us no association. So, based on the level of significance, can we reject or confirm the null hypothesis? If we can reject the null hypothesis meaning there the correlation statistic is statistically significant, then what do the results tell us? Try to answer as though your audience has little, if any, statistical knowledge.

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