Here's a different way to think about how the course is organized...

• Purpose: The course schedule is divided into six sections. These are the first column in the table below.
• Topic: The second column refers to specific lectures (or part of one), in the same order as the schedule.
• Math: Those worried about how much math there is should check the third column: There's definitely some, but we'll use the computer to do more and more of it - and you won't do any of the more complex procedures by hand.
• Complexity: The last two columns will get you thinking ahead about important aspects of the course: It ultimately focuses on how one sample is likely to differ from the population, but does that incrementally, starting with just description using a single variable - not relationships between variables, not "causes", and not differences between one group and anothe

Purpose	Specific Topic	Amount of Calculation	Level of Sampling	Number of Variables
Orientation	Welcome	None	Population or Samples	Univariate (one variable)
	Basic Terms
	Measurement
	Levels
	SPSS
Description	Displays
	Shapes	Some
	Center
	Spread
	Indices		Samples
	Missing Values
	Probability
	Z Scores
Inference	P Values	Not Much
	Paramaters
	Point Estimation
	Sampling Issues
	Sampling Methods
	Sampling Effects		Cross-Samples
	Central Limits
Estimation	Confidence Intervals	Some
	Samples Sizes
	Hypothesis Testing
	The "t" Test
Covariation	Difference of Means			Bivariate (two variables)
	Difference of Proportions
	ANOVA	None
	Regression	Not Much
	Correlation	None
	Four Tests
Association	Crosstabs
	Dependence
	Measures of Association	Not Much
	Multiple Regression			Multivariate (more than two)
	Elaboration	None