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Statistics is an area of applied mathematics devoted to the collection, organization, and interpretation of data. Researchers use statistical analysis to determine the probability that a result, event, or characteristic is the result of random fluctuations (noise) or the direct result of some treatment, stimulus, or genuine difference. As a result, statistics is closely related to probability theory, with which it is often grouped.

A thorough introductory course in general statistics will include the following topics:

- MEASUREMENT
- FREQUENCY DISTRIBUTIONS
- MODELS OF DISTRIBUTIONS
- THE NORMAL CURVE
- THE SUMMATION SIGN
- SCORE TRANSFORMATIONS
- LINEAR TRANSFORMATIONS
- REGRESSION MODELS
- CORRELATION
- HYPOTHESIS TESTING
- THE SAMPLING DISTRIBUTION
- TESTING HYPOTHESES ABOUT SINGLE MEANS
- EXPERIMENTAL DESIGNS
- ANALYSIS OF CROSSED DESIGNS
- NESTED t-TESTS
- THE t DISTRIBUTION
- ONE AND TWO-TAILED t-TESTS
- ERRORS IN HYPOTHESIS TESTING
- ANOVA
- CHI-SQUARE AND TESTS OF CONTINGENCY TABLES
- TESTING A SINGLE CORRELATION
- NORMAL CURVE AREAS
- CRITICAL VALUES FOR THE VARIOUS DISTRIBUTIONS

There is a terrific online, interactive, multimedia statistics course developed under collaboration of Rice University and University of Houston. Numerous books on statistics are also available, many of which can be found on Amazon.com. Probability and statistics are like cousins to each other, with many textbooks covering both topics, as can be seen on Google.

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