Compute a 95% confidence interval for each of your quantitative varibles.
	Consider each qualitative variable as a binomial variable (only two possible answers).  For example, if you asked "What year are you?"  then group them into underclassmen or lowerclassmen.  Compute a 95% confidence interval for these binomial variables.
	Compute at least 3 two-variable confidence intervals.  For example, if you asked people their year and GPA, you might consider the difference in the average GPA of upperclassmen and lowerclassmen.
	You do not have to type your computations.  You can do them by hand and attach them as an appendix at the end of the report.

	Formulate at least 5 good hypotheses and test them.  At least 3 should be two-variable tests.  For example, you might test if the GPA of lowerclassmen is greater than the GPA of upperclassmen.
	You do not have to type your computations.  You can do them by hand and attach them as an appendix at the end of the report.

	Discuss the sizes of your confidence intervals. Were any too large to be meaningful? If so, how many measurements (what should n be?) to find an interval small enough to be useful?
	Discuss each of the hypothesis tests you conducted. What did you find?  Was it what you expected? Why do you think that was the case?
	What are the real-world implications of your results?  Give any other particularly impressive observations.

	Report looks professional and is well-written.  Spelling and grammar are correct.  It is written as a report, not a list of answers to questions.
	The report is well-organized and readable.
	Include any of the graphs or calculations you did for Part I that help illustrate your results. (In some ways, the goal of Part I was to get a feel for the data, while Part II tests your impressions and presents your complete results.
	Color and graphics used well.

	Confidence Intervals	3 point deductions for missing confidence intervals
	Hypothesis Testing	3 point deductions for missing hypothesis tests
	Analysis of Results	5 point bonuses for detailed, illuminating data analyses; 5 point deductions for missing data analyses
	Collection of Data	3 point bonuses for exceptional presentation/format; 3 point deductions for non-professional presentation/format