1. Producing good data through sampling and experimentation
question to be answered - what variables will be measured? organize!
types of variables measured: categorical & continuous
simple random sampling (SRS)
completely randomized experimental design
matched pairs
Descriptive analysis
graphical and numerical methods for single variables (univariate analysis) - shape, center, spread
graphical and numerical methods for bivariate relationships: categorical vs. categorical; categorical vs. continuous; continuous vs. continuous

2. Transition to inferential statistics through probability
general introduction to probability including simple and, or, and not rules; relative frequency interpretation
sampling distributions for counts & proportions and for means
important distributions include: uniform, binomial, normal, t, and chi-square
Inferential statistics include confidence interval estimation and hypothesis testing.
Confidence intervals
for p; for m ; for md ; for m1 - m2 ;

3. Review old tests and quizzes
Hypothesis testing
for m ; for md ; for m1 - m2 for association
Don't forget your "formula sheet" for the exam - must be turned in with the exam.
Do as many of the assigned homework problems you can do before the exam…
Review old tests and quizzes
Online, look at the videos and do the chapter quizzes
Read the book & look for the "boxes" and review the chapter summaries