Introductory Statistics, 10th edition

 

Book Title:  Introductory Statistics, 10th edition

Author : Neil A. Weiss

Publisher: Addison-Wesley - Pearson - Prentice Hall © 2017

File size :  13.49 MB (pdf, nowm)

Table of Contents

PART I: Introduction

1. The Nature of Statistics

            Case Study: Top Films of All Time

1.1 Statistics Basics

1.2 Simple Random Sampling

1.3 Other Sampling Designs∗

1.4 Experimental Designs∗

            Chapter in Review

            Review Problems

            Focusing on Data Analysis

            Case Study Discussion

            Biography

PART II: Descriptive Statistics

2. Organizing Data

            Case Study: World’s Richest People

2.1 Variables and Data

2.2 Organizing Qualitative Data

2.3 Organizing Quantitative Data

2.4 Distribution Shapes

2.5 Misleading Graphs∗

            Chapter in Review

            Review Problems

            Focusing on Data Analysis

            Case Study Discussion

            Biography

3. Descriptive Measures

            Case Study: The Beatles’ Song Length

3.1 Measures of Center

3.2 Measures of Variation

3.3 Chebyshev’s Rule and the Empirical Rule∗

3.4 The Five-Number Summary; Boxplots

3.5 Descriptive Measures for Populations; Use of Samples

            Chapter in Review

            Review Problems

            Focusing on Data

            Analysis

            Case Study Discussion

            Biography

PART III: Probability, Random Variables, and Sampling Distributions

4. Probability Concepts

            Case Study: Texas Hold’em

4.1 Probability Basics

4.2 Events

4.3 Some Rules of Probability

4.4 Contingency Tables; Joint and Marginal Probabilities∗

4.5 Conditional Probability∗

4.6 The Multiplication Rule; Independence∗

4.7 Bayes’s Rule∗

4.8 Counting Rules∗

            Chapter in Review 218

            Review Problems

            Focusing on Data Analysis

            Case Study Discussion

            Biography

5. Discrete Random Variables∗

            Case Study: Aces Wild on the Sixth at Oak Hill

5.1 Discrete Random Variables and Probability Distributions∗

5.2 The Mean and Standard Deviation of a Discrete Random Variable∗

5.3 The Binomial Distribution∗

5.4 The Poisson Distribution∗

            Chapter in Review

            Review Problems

            Focusing on Data Analysis

            Case Study Discussion

            Biography

6. The Normal Distribution

            Case Study: Chest Sizes of Scottish Militiamen

6.1 Introducing Normally Distributed Variables

6.2 Areas under the Standard Normal Curve

6.3 Working with Normally Distributed Variables

6.4 Assessing Normality; Normal Probability Plots

6.5 Normal Approximation to the Binomial Distribution∗

            Chapter in Review

            Review Problems

            Focusing on Data Analysis

            Case Study Discussion

            Biography

7. The Sampling Distribution of the Sample Mean

            Case Study: The Chesapeake and Ohio Freight Study

7.1 Sampling Error; the Need for Sampling Distributions

7.2 The Mean and Standard Deviation of the Sample Mean

7.3 The Sampling Distribution of the Sample Mean

            Chapter in Review

            Review Problems

            Focusing on Data Analysis

            Case Study Discussion

            Biography

PART IV: Inferential Statistics

8. Confidence Intervals for One Population Mean

            Case Study: Bank Robberies: A Statistical Analysis

8.1 Estimating a Population Mean

8.2 Confidence Intervals for One Population Mean When σ Is Known

8.3 Confidence Intervals for One Population Mean When σ Is Unknown

            Chapter in Review

            Review Problems

            Focusing on Data Analysis

            Case Study Discussion

            Biography

Download