Applied Statistics and Probability for Engineers (6th Ed.)
D.C. Montgomery and G.C. Runger
3 Discrete Random Variables and Probability Distributions
3.6 Binomial Distribution
3.8 Hypergeometric Distribution
5 Joint Probability Distributions
5.1 Two or More Random Variables
7 Point Estimation of Parameters and Sampling Distributions
7.2 Sampling Distributions and the Central Limit Theorem
8 Statistical Intervals for a Single Sample
8.1 Confidence Interval on the Mean of a Normal Distribution, Variance Known
8.2 Confidence Interval on the Mean of a Normal Distribution, Variance Unknown
8.5 Guidelines for Constructing Confidence Intervals
9 Tests of Hypotheses for a Single Sample
9.1 Hypothesis Testing
9.2 Tests on the Mean of a Normal Distribution, Variance Known
10 Statistical Inference for Two Samples
10.2 Inference on the Difference in Means of two Normal Distributions, Variances Unknown
10.6 Inference on Two Population Proportions
11 Simple Linear Regression and Correlation
11.2 Simple Linear Regression
11.5 Confidence Intervals
11.7 Adequacy of the Regression Model
11.9 Regression on Transformed Variables
11.10 Logistic Regression
12 Multiple Linear Regression
12.1 Multiple Linear Regression Model
12.2 Hypothesis Tests in Multiple Linear Regression
13 Design and Analysis of Single-Factor Experiments: The Analysis of Variance
13.2 Completely Randomized Single-Factor Experiment
14 Design of Experiments with Several Factors
14.3 Two-Factor Factorial Experiments
14.6 Blocking and Confounding in the 2^k Design
14.7 Fractional Replication of the 2k Design
Other