Bibliography: (pages 687-698) and indexes.

Part one: Data analysis -- Introduction -- Studying one variable at a time: Lists, tables and plots -- Studying one variable at a time: descriptive statistics -- Studying two variables at a time -- Studying more than two variables at a time -- Part two: Probability -- Some ideas in probability needed for statistical inference -- Finite probability models based on counting techniques -- The Gaussian (Normal) distributions -- Part three: Statistical inference -- Basic ideas in statistics -- Inferences about a measure of central tendency -- Inferences about two measures of central tendency -- Comparing several means: single-factor and randomized block experiments -- Two-factor experiments: balanced, completely randomized, factorial designs -- Inferences about variances -- Correlation, regression and the method of least squares -- Inferences about qualitative (or categorical) variables.