Chapter 13 covers one-way analysis of variance and includes the following specific topics, among others: between group variance, within group variance, the R ratio, ANOVA summary table, effect size, post hoc multiple comparison tests, the Bonferroni adjustment, and power analysis.

Chapter 15 covers correlation and simple regression as inferential techniques and includes the following specific topics, among others: bivariate normal distribution, statistical significance test of correlation, confidence intervals, statistical significance of the b weight, fit of the overall regression equation, R and R-squared, adjusted R-squared, regression diagnostics, residual plots, influential observations, discrepancy, leverage, influence, and power analysis.

Chapter 14 covers two-way analysis of variance and includes the following specific topics, among others: statistical interaction, balanced versus unbalanced factorial designs, F-ratio, effect size, fixed factors, random factors, post hoc multiple comparison tests, simple effects, and power analysis.

Chapter 11 covers inferences involving the mean when σ is not known, one- and two-sample designs, and includes the following specific topics, among others: t-distribution, degrees of freedom, t-test assumptions, one-sample t-test, two-sample t-test for independent groups, two-sample t-test for related groups, paired sample t-tests, effect size, the bootstrap, and power analysis.

In this chapter we introduce the Glauber coherent states of a quantized field as eigenstates of the annihilation operator and as displaced vacuum states. The phase-space picture of coherent states is introduced, along with phase-space probability distributions, namely the Q distribution, the P distribution, and the Wigner function, and their interrelations are discussed.

Chapter 8 covers theoretical probability models and includes the following specific topics, among others: he binomial probability distribution and the normal probability distribution.

Chapter 20 covers accessing data from public-use sources and includes the following specific topics, among others: good research questions, desirable features of public-use data, and accessing publicly available datasets.

Chapter 16 covers an introduction to multiple regression and includes the following specific topics, among others: confidence intervals, statistical significance of the b weight, fit of the overall regression Eeuation, R and R-squared, adjusted R-squared, semipartial correlation, partial slope, confounding, and statistical control.

Chapter 17 covers two-way interactions in multiple regression and includes the following specific topics, among others: two-way interaction, first-order effects, main effects, interaction effects, model selection, AIC, BIC, and probing interactions.

Chapter 7 covers probability fundamentals and includes the following specific topics, among others: the discrete case, additive rules of probability, complement rule of probability, multiplicative rule of probability, conditional probability, Bayes’ theorem, and the law of large numbers.

In this chapter we discuss the application of entanglement to quantum optical interferometry and to quantum information processing. Quantum random number generation is discussed. Quantum cryptography is discussed, as is quantum computing. The quantum optical realization of some quantum gates is discussed.

Chapter 9 covers the role of sampling in inferential statistics and includes the following specific topics, among others: samples and populations, random samples, simple random sampling, sampling with and without replacement, sampling distributions, the sampling distribution of means, The central limit theorem, estimators and bias.