This book provides a non-calculus based introduction to statistics and data analysis for students studying statistics, business, engineering, health sciences, social sciences, and education. It presents a thorough coverage of statistical techniques and includes numerous examples drawn largely from actual research studies. Little mathematical background is required and explanations of important concepts are based on providing intuition with illustrative figures and numerical examples. Part One shows how statistical methods are used in diverse fields in asnwering important questions. Part Two covers descriptive statitics and considers the organization and summarization of data. Parts Three, Four, and Five cover probability, statistical inference, and more advanced statistical techniques, respectively.
I: Introduction.- 1—The Nature of Statistics.- II: Descriptive Statistics.- 2 — Organization of Data.- 3 — Measures of Location.- 4 — Measures of Variability.- 5 — Summarizing Multivariate Data: Association Between Numerical Scales.- 6 — Summarizing Multivariate Data: Association Between Categorical Variables.- III: Probability.- 7 — Basic Ideas of Probability.- 8 — Probability Distributions.- 9 — Sampling Distributions.- IV: Statistical Inference.- 10 — Using a Sample to Estimate Characteristics of One Population.- 11 — Answering Questions about Population Characteristics.- 12 — Differences Between Populations.- 13 — Variability in One Population and in Two Populations.- V: Statistical Methods for Other Problems.- 14 — Inference on Categorical Data.- 15 — Simple Regression Analysis.- 16 — Comparison of Several Populations.- 17 — Sampling from Populations: Sample Surveys.- Answers to Selected Exercises.- References.- Appendices.- Appendix I Table of the Standard Normal Distribution.- Appendix II Table of Binomial Probabilities.- Appendix IV Percentage Points of Chi-Square Distributions.- Appendix VI Table of Random Digits.