Running head: Mean Differences 1
CJUS745 Week 5 Quantitative Analysis Report:
Mean Differences Assignment
QUANTITATIVE A R : M D ANALYSIS EPORT EAN IFFERENCES SSIGNMENT
INSTRUCTIONS
OVERVIEW
You will take part in several data analysis assignments in which you will develop a report using
tables and figures from the IBM SPSS output file of your results. Using the resources and
®
readings provided, you will interpret these results and test the hypotheses and writeup these
interpretations.
INSTRUCTIONS
Copy and paste all tables and figures into a Word document and format the results in
APA current edition.
Interpret your results.
Final report should be formatted using APA current edition, and in a Word document.
4-5 double-spaced pages of content in length (not counting the title page or references).
The has three parts and uses theQuantitative Analysis Report: Mean Differences Assignment
Florida County Government. sav dataset. Load the data set into SPSS.
1. Address the following research question using :an independent samples t-test
RQ 3: Is there a significant difference in the percent of total spending that is environmental
spending between coastal counties and non-coastal counties?
H03: There is no statistically significant difference in the percent of total spending that is
environmental spending between coastal counties and non-coastal counties.
Ha3: There is a statistically significant difference in the percent of total spending that is
environmental spending between coastal counties and non-coastal counties.
1. Open the data file . Florida County Government. sav
2. Perform an error bar plot first.
3. Click on Graphs/Legacy Dialogs/Error Bar.
4. Click on Simple button and then radio button “summaries for groups of cases” then click
on Define.
5. Move to Variable box on the right the dependent variable Average % Envir. Spending in
Total spending (AverageEnvirTotal).
6. Move to Category Axis box. This is the independent groups Coastal Area or Not
variable. There are two groups: coastal county=1 and not coastal county=0.
7. Click OK.
Running head: Mean Differences 2
8. Edit the error bar plot by adding data labels and title.
9. Follow directions in Cronk and in the resources provided. What do you think from that
plot you would expect to find in an independent samples t-test?
10. Now, perform an independent t samples t-test with:
ocoastal (1)/non-coastal county (0) as your independent variable groups and;
oAverage % Envir. Spending in Total spending (AverageEnvirTotal) as your
dependent variable.
11. Use Cronk and resources provided to interpret the results of the Levene’s test of assumed
equal variances and then interpret the t-test results and report based on the testing of your
hypotheses.
