Review of Hypothesis Testing, Confidence Intervals and Correlation
It is strongly recommended that you review introductory concepts of statistics and probability before going any further. There are many excellent introductory college level statistics books available, (see e.g. among the references in StatSoft electronic texbook, or, alternatively, review the first seven chapters of the Levine et.al. book listed in the syllabus). Also, your old statistics book (if you can find it) might serve as the preferred refresher.
In particular, please review at least the following basic concepts and topics: types of data (categorical, numerical (discrete, continuous)), measurement scales (nominal, ordinal, interval, ratio), data collection, graphical presentation of data (pie chart, histogram, bar chart, line graph,...), sets (union, intersection, complement,...), counting of sample points (permutations, combinations,...), probability (basic rules of, event -, conditional probability), random variables (discrete, continuous), as well as common discrete- (binomial, negative binomial, Poisson,...) and continuous (exponential, normal, t-, F-, ...) distributions.
In addition, the Electronic Textbook (by StatSoft) has lots of material available for your reading and review. From that book, please skim through the following chapters
Basic Statistics. This chapter is already quite extensive, and can serve as a solid reference to introductory materials. Please read here at least the following four sections:
Later in this module reference will be made to these sections.
Also, please turn to the book's very extensive Glossary when you need a short more technical overview of a topic or concepts, or are looking for a definition, and to the Statistical Tables if you need probabilities or random variable values for your tests or confidence intervals.