Understanding Probability and Statistics: A Book of Problems

Cover
Half Title
Title Page
Copyright Page
Dedication
Contents
Preface
I: PROBLEMS TO SOLVE
	1 Descriptive Statistics I
		1.1 Measures Characterizing Distributions I
		1.2 Correlation and Linear Regression
	2 Probability I
		2.1 Events, Operations, and Event Probabilities
		2.2 Problems Involving Combinatorics
		2.3 Conditional Probabilities and Dependence/Independence between Events
		2.4 Bayes’ Theorem
		2.5 Probability Distributions and Expectations
	3 Reasoning across Domains
		3.1 Statistics, Probability, and Inference
II: MULTIPLE-CHOICE PROBLEMS
	4 Descriptive Statistics II
		4.1 Scales of Measurement
		4.2 Measures Characterizing Distributions II
		4.3 Transformed Scores, Association, and Linear Regression
		4.4 In Retrospect
	5 Probability II
	6 Normal Distribution, Sampling Distributions, and Inference
III: ANSWERS
	Answers for Part I: Problems to Solve
		Chapter 1. Descriptive Statistics I
			1.1 Measures Characterizing Distributions I
			1.2 Correlation and Linear Regression
		Chapter 2. Probability I
			2.1 Events, Operations, and Event Probabilities
			2.2 Problems Involving Combinatorics
			2.3 Conditional Probabilities and Dependence/Independence between Events
			2.4 Bayes’ Theorem
			2.5 Probability Distributions and Expectations
		Chapter 3. Reasoning across Domains
			3.1 Statistics, Probability, and Inference
	Answers for Part II: Multiple-Choice Problems
		Chapter 4. Descriptive Statistics II
			4.1 Scales of Measurement
			4.2 Measures Characterizing Distributions II
			4.3 Transformed Scores, Association, and Linear Regression
			4.4 In Retrospect
		Chapter 5. Probability II
		Chapter 6. Normal Distribution, Sampling Distributions, and Inference
References
Index