Copyright © 2013 Pearson Education. All rights reserved. Chapter 1 Introduction to Statistics and Probability
Copyright © 2013 Pearson Education. All rights reserved. Section 1.1 Overview: Statistical Inference, Samples, Populations, and the Role of Probability
1-3 Copyright © 2013 Pearson Education. All rights reserved. Table 1.1 Data Set for Example 1.2
1-4 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.1 A dot plot of stem weight data
1-5 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.2 Fundamental relationship between probability and inferential statistics
Copyright © 2013 Pearson Education. All rights reserved. Section 1.2 Sampling Procedures; Collection of Data
1-7 Copyright © 2013 Pearson Education. All rights reserved. Table 1.2 Data Example 1.3
1-8 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.3 Corrosion results for Example 1.3
Copyright © 2013 Pearson Education. All rights reserved. Section 1.3 Discrete and Continuous Data
Copyright © 2013 Pearson Education. All rights reserved. Section 1.4 Probability: Sample Space and Events
1-11 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.1
1-12 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.4 Tree diagram for Example 1.5
1-13 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.2
1-14 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.3
1-15 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.4
1-16 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.5
1-17 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.6
1-18 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.5 Events represented by various regions
1-19 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.6 Events of the sample space S
1-20 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.7 Venn diagram for Exercises 1.15 and 1.16
Copyright © 2013 Pearson Education. All rights reserved. Section 1.5 Counting Sample Points
1-22 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.7
1-23 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.1
1-24 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.2
1-25 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.3
1-26 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.4
1-27 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.5
1-28 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.6
Copyright © 2013 Pearson Education. All rights reserved. Section 1.6 Probability of an Event
1-30 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.8
1-31 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.9
Copyright © 2013 Pearson Education. All rights reserved. Section 1.7 Additive Rules
1-33 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.7
1-34 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.8 Additive rule of probability
1-35 Copyright © 2013 Pearson Education. All rights reserved. Corollary 1.1
1-36 Copyright © 2013 Pearson Education. All rights reserved. Corollary 1.2
1-37 Copyright © 2013 Pearson Education. All rights reserved. Corollary 1.3
1-38 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.8
1-39 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.9
Copyright © 2013 Pearson Education. All rights reserved. Section 1.8 Conditional Probability, Independence, and the Product Rule
1-41 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.10
1-42 Copyright © 2013 Pearson Education. All rights reserved. Table 1.3 Categorization of the Adults in a Small Town
1-43 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.11
1-44 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.10
1-45 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.11
1-46 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.9 An electrical system for Example 1.33
1-47 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.12
1-48 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.12
1-49 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.10 Diagram for Exercise 1.69
1-50 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.11 Diagram for Exercise 1.70
Copyright © 2013 Pearson Education. All rights reserved. Section 1.9 Bayes’ Rule
1-52 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.12 Venn diagram for the events A, E and E
1-53 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.13 Tree diagram for the data on page 34, using additional information on page 42
1-54 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.13
1-55 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.14 Partitioning the sample space S
1-56 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.15 Tree diagram for Example 1.34
1-57 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.14