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
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