For the final section of the report, you will use inferential statistics to analyze your data.
After describing the variables independently in Part 2, you will jointly describe them graphically or in a table. The way your variables are presented depends on their level of measurement as well. Make sure to use a crosstabulation, histogram, or scatterplot to achieve this and include it in your report. Then use the graph or table to describe whether or not the relationship you are looking for appears to be present in your sample.
Now you will performbivariate inferential statisticsto determine whether a relationship between the two variables is likely to exist in the population. First state the null hypothesis you are expecting to reject. Then present the alternative hypothesis which should be the same as your research hypothesis discussed in Part 1.
To complete the bivariate inferential statistics portion, you will need to determine how to test whether your hypothesis was supported. You should state which statistical approach you used to analyze the data (make sure to specify which test of statistical significance was used), and why it is appropriate for your data. State whether you can reject the null hypothesis and conclude that a significant relationship exists in the population or not. Explain why or why not. How confident are you that you can (or cannot) make generalizations? Whether or not you found a significant
relationship, how strong is the relationship and how did you determine the strength (make sure to mention at least one measure of association)?
Finally, you should wrap up and summarize the report with aconclusionsection. Close out the proposal by re-stating the research question and hypothesis, whether or not you found support for your hypothesis, and what relevance these findings have for future research or for applications in the real world.