DESIGNED FOR THE PERSON WHO HAS HAD LITTLE FORMAL STATISTICAL TRAINING, THIS SELF-TEACHING TEXT PRESENTS THE THEORY BEHIND DESCRIPTIVE, INFERENTIAL, AND CORRELATIONAL STATISTICS. TERMS ARE DEFINED AND THE MATHEMATICAL FORMULAS USED ARE WORKED THROUGH SLOWLY. AFTER A DISCUSSION OF THE VARIOUS TYPES OF DATA WHICH MAY BE COLLECTED, PROBLEMS ENCOUNTERED WITH RAW DATA, AND THE NEED FOR STATISTICAL HANDLING, THE CHAPTERS COVER THE CONCEPTS BEHIND FREQUENCY DISTRIBUTIONS, HISTOGRAMS, FREQUENCY POLYGONS, CURVES, MEANS, MEDIANS, MODES, RANGES, STANDARD DEVIATIONS, VARIANCES AND MEASUREMENTS OF THE STANDARD NORMAL DISTRIBUTION. GRAPHS AND CHARTS EXPLAIN THE VARIOUS CONCEPTS. TESTING OF SIGNIFICANCE IS ILLUSTRATED WITH SAMPLE CASES. USE OF STANDARD ERROR OF THE MEAN, PARAMETRIC VERSUS NONPARAMETRIC TESTS, THE KOLMOGOROV-SMIRNOV TEST, THE CHI-SQUARE TEST, THE Z-VALUE TEST, THE T-TEST, AND THE MANN-WHITNEY U-TEST ARE DISCUSSED. FINAL CHAPTERS PRESENT PRACTICAL PROBLEMS USING THESE VARIOUS CONCEPTS. THE BOOK IS DIVIDED INTO A SERIES OF 'LECTURES,' EACH FOLLOWED BY A SELF-TEST SHEET AND SEVERAL PRACTICAL PROBLEMS. (GLR)