Copyright © 2013 Pearson Education. All rights reserved. Chapter 1 Introduction to Statistics and...
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Transcript of Copyright © 2013 Pearson Education. All rights reserved. Chapter 1 Introduction to Statistics and...
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
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Table 1.1 Data Set for Example 1.2
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Figure 1.1 A dot plot of stem weight data
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Figure 1.2 Fundamental relationship between probability and inferential statistics
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Section 1.2
Sampling Procedures; Collection of Data
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Table 1.2 Data Example 1.3
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Figure 1.3 Corrosion results for Example 1.3
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Section 1.3
Discrete and Continuous Data
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Section 1.4
Probability: Sample Space and Events
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Definition 1.1
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Figure 1.4 Tree diagram for Example 1.5
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Definition 1.2
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Definition 1.3
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Definition 1.4
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Definition 1.5
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Definition 1.6
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Figure 1.5 Events represented by various regions
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Figure 1.6 Events of the sample space S
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Figure 1.7 Venn diagram for Exercises 1.15 and 1.16
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Section 1.5
Counting Sample Points
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Definition 1.7
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Theorem 1.1
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Theorem 1.2
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Theorem 1.3
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Theorem 1.4
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Theorem 1.5
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Theorem 1.6
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Section 1.6
Probability of an Event
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Definition 1.8
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Definition 1.9
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Section 1.7
Additive Rules
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Theorem 1.7
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Figure 1.8 Additive rule of probability
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Corollary 1.1
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Corollary 1.2
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Corollary 1.3
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Theorem 1.8
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Theorem 1.9
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Section 1.8
Conditional Probability, Independence, and the Product Rule
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Definition 1.10
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Table 1.3 Categorization of the Adults in a Small Town
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Definition 1.11
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Theorem 1.10
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Theorem 1.11
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Figure 1.9 An electrical system for Example 1.33
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Theorem 1.12
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Definition 1.12
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Figure 1.10 Diagram for Exercise 1.69
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Figure 1.11 Diagram for Exercise 1.70
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Section 1.9Bayes’ Rule
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Figure 1.12 Venn diagram for the events A, E and E´
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Figure 1.13 Tree diagram for the data on page 34, using additional information on page 42
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Theorem 1.13
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Figure 1.14 Partitioning the sample space S
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Figure 1.15 Tree diagram for Example 1.34
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Theorem 1.14