pt. 1. Getting the information you need -- ch. 1. Data collection -- Introduction to the practice of statistics -- Observational studies versus designed experiments -- Simple random sampling --Effective sampling methods -- Bias in sampling -- Design of experiments -- pt. 2. Descriptive statistics -- ch. 2. Organizing and summarizing data -- Organizing qualitative data -- Organizing quantitative data : the popular displays -- Additional displays of quantitative data -- Graphical misrepresentations of data -- ch.3. Numerically summarizing data -- Measures of central tendency -- Measures of dispersion -- Measures of central tendency and dispersion from grouped data -- Measures of position and outliers -- The five-number summary and boxplots -- ch. 4. Describing the relation between two variables -- Scatter diagrams and correlation -- Least-squares regression -- Diagnostics on the least-squares regression line -- Contingency tables and association -- Nonlinear regression : transformations -- pt. 3. Probability and probability distributions -- ch. 5. Probability -- Probability rules -- The addition rule and complements -- Independence and the multiplication rule -- Conditional probability and the general multiplication rule -- Counting techniques -- Baye's rule -- ch. 6. Discrete probability distributions -- Discrete random variables -- Binomial probability distribution -- The Poisson probability distribution -- The hypergeometric probability distribution -- ch. 7. The normal probability distribution -- Properties of the normal distribution -- Applications of the normal distribution -- Assessing normality -- The normal approximation to the binomial probability distribution -- pt. 4. Inference : from samples to population -- ch. 8. Sampling distributions -- Distribution of the sample mean -- Distribution of the sample proportion -- ch. 9. Estimating the value of a parameter -- Estimating a population proportion -- Estimating a population mean -- Estimating a population standard deviation -- Estimating with bootstrapping -- ch. 10. Hypothesis tests regarding a parameter -- Language of hypothesis testing -- Hypothesis tests for a population proportion -- Hypothesis tests for a population mean -- Hypothesis tests for a population standard deviation -- Probability of a Type II error and the power of the test -- ch. 11. Inferences on two samples -- Inference about two population proportions -- Inference about two means : dependent samples -- Inference about two means : independent samples -- Inference about two population standard deviations -- ch. 12. Inference on categorical data -- Goodness-of-fit test -- Tests for independence and the homogeneity of proportions -- ch. 13. Comparing three or more means -- One-way analysis of variance -- Post hoc tests on one-way analysis of variance -- The randomized complete block design -- Two-way analysis of variance