Table of Contents Chapter 1) The role of statistics and the data analysis process. Chapter 2) Collecting Data sensibly. Chapter 3) Graphical Methods for describing data. Chapter 4) Numerical methods for describing data. Chapter 5) Summarizing bivariate data. Chapter 6) Probality. Chapter 7) Random variables and probability distributions. Chapter 8) Sampling variability and sampling distibutions. Chapter 9) Estimation using a single sample. Chapter 10) Hypothesis testing using a single sample. Chapter 11) Comparing two populations or treatments. Chapter 12) The Analysis of Cateargorical data and gooness of fit tests. Chapter 13) Simple linear regression and correlation: Inferential methods. Chapter 145) Multiple regression analysis. Chapter 15) The analysis of variance. Chapter 16) Nonparametric (distibution free) statistacal methods.