Includes bibliographical references (p. 231-234) and index.
Contents:
Nature of data and statistics -- Basics -- Looking at the data: a first look at graphing data -- Describing the data with numbers: measures of central tendency and dispersion -- Normal distribution -- Probability -- Elements of statistical inference -- Analysis of variance -- Comparing two groups: the t-test -- More than two groups: one-way ANOVA -- Factorial ANOVA -- Two repeated observations: the paired t-test and alternatives -- Repeated measures ANOVA -- Regression and correlation -- Simple regression and correlation -- Multiple regression -- Advanced topics in regression and ANOVA -- Principal components and factor analysis: fooling around with factors -- Nonparametric statistics -- Tests of significance for categorical frequency data -- Measures of association for categorical data -- Tests of significance for ranked data -- Measures of association for ranked data -- Life table (survival) analysis -- Reprise -- Screwups, oddballs and other vagarities of science: locating outliers, handling missing data and transformations -- Putting it all together.
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