Fundamentals of Statistics, 6th edition
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Overview
Fundamentals of Statistics posits that statistics is connected, not only in concepts, but to the world at large. The author pulls ideas and strategies from his own classroom into a wealth of new and updated exercises, examples, and other helpful resources to help you stay engaged and succeed.
Published by Pearson (August 18th 2021)  Copyright © 2022
ISBN13: 9780137377022
Subject: Introductory Statistics
Category: Fundamentals of Statistics
Table of contents
Preface to the Instructor
Resources for Success
Applications Index
I. GETTING THE INFORMATION YOU NEED
 1. Data Collection
 1.1 Introduction to the Practice of Statistics
 1.2 Observational Studies versus Designed Experiments
 1.3 Simple Random Sampling
 1.4 Other Effective Sampling Methods
 1.5 Bias in Sampling
 1.6 The Design of Experiments
 Chapter 1 Review
 Chapter Test
 Making an Informed Decision: What College Should I Attend?
II. DESCRIPTIVE STATISTICS
 2. Summarizing Data in Tables and Graphs
 2.1 Organizing Qualitative Data
 2.2 Organizing Quantitative Data
 2.3 Graphical Misrepresentations of Data
 Chapter 2 Review
 Chapter Test
 Making an Informed Decision: Tables or Graphs?
 3. Numerically Summarizing Data
 3.1 Measures of Central Tendency
 3.2 Measures of Dispersion
 3.3 Measures of Central Tendency and Dispersion from Grouped Data
 3.4 Measures of Position and Outliers
 3.5 The FiveNumber Summary and Boxplots
 Chapter 3 Review
 Chapter Test
 Making an Informed Decision: What Car Should I Buy?
 4. Describing the Relation between Two Variables
 4.1 Scatter Diagrams and Correlation
 4.2 LeastSquares Regression
 4.3 The Coefficient of Determination
 4.4 Contingency Tables and Association
 Chapter 4 Review
 Chapter Test
 Making an Informed Decision: Relationships among Variables on a World Scale
III. PROBABILITY AND PROBABILITY DISTRIBUTIONS
 5. Probability
 5.1 Probability Rules
 5.2 The Addition Rule and Complements
 5.3 Independence and the Multiplication Rule
 5.4 Conditional Probability and the General Multiplication Rule
 5.5 Counting Techniques
 5.6 Simulating Probability Experiments
 5.7 Putting It Together: Which Method Do I Use?
 Chapter 5 Review
 Chapter Test
 Making an Informed Decision: The Effects of Drinking and Driving
 6. Discrete Probability Distributions
 6.1 Discrete Random Variables
 6.2 The Binomial Probability Distribution
 Chapter 6 Review
 Chapter Test
 Making an Informed Decision: Should We Convict?
 7. The Normal Probability Distribution
 7.1 Properties of the Normal Distribution
 7.2 Applications of the Normal Distribution
 7.3 Assessing Normality
 7.4 The Normal Approximation to the Binomial Probability Distribution
 Chapter 7 Review
 Chapter Test
 Making an Informed Decision: Stock Picking
IV. INFERENCE: FROM SAMPLES TO POPULATION
 8. Sampling Distributions
 8.1 Distribution of the Sample Mean
 8.2 Distribution of the Sample Proportion
 Chapter 8 Review
 Chapter Test
 Making an Informed Decision: How Much Time Do You Spend in a Day . . . ?
 9. Estimating the Value of a Parameter
 9.1 Estimating a Population Proportion
 9.2 Estimating a Population Mean
 9.3 Putting It Together: Which Method Do I Use?
 9.4 Estimating a Population Standard Deviation (eText)
 9.5 Estimating with Bootstrapping (eText)
 Chapter 9 Review
 Chapter Test
 Making an Informed Decision: How Much Should I Spend for this House?
 10. Hypothesis Tests Regarding a Parameter
 10.1 The Language of Hypothesis Testing
 10.2 Hypothesis Tests for a Population Proportion
 10.2A Using Simulation to Perform Hypothesis Tests on a Population Proportion (eText)
 10.2B Hypothesis Tests for a Population Proportion Using the Normal Model (eText)
 10.3 Hypothesis Tests for a Population Mean
 10.3A Using Simulation and the Bootstrap to Perform Hypothesis Tests on a Population Mean (eText)
 10.4 Putting It Together: Which Method Do I Use?
 10.5 Hypothesis Tests for a Population Standard Deviation (eText)
 Chapter 10 Review
 Chapter Test
 Making an Informed Decision: Selecting a Mutual Fund
 11. Inference on Two Population Parameters
 11.1 Inference about Two Population Proportions
 11.1A Using Randomization Techniques to Compare Two Proportions (eText)
 11.2 Inference about Two Means: Dependent Samples
 11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means (eText)
 11.3 Inference about Two Means: Independent Samples 11.3A Using Randomization Techniques to Compare Two Independent Means (eText)
 11.4 Putting It Together: Which Method Do I Use?
 11.5 Inference about Two Population Standard Deviations (eText)
 Chapter 11 Review
 Chapter Test
 Making an Informed Decision: Which Car Should I Buy?
 12. Additional Inferential Methods
 12.1 GoodnessofFit Test
 12.2 Tests for Independence and the Homogeneity of Proportions
 12.3 Testing the Significance of the LeastSquares Regression Model
 12.3A Using Randomization Techniques on the Slope of the LeastSquares Regression Line (eText)
 12.4 Confidence and Prediction Intervals
 Chapter 12 Review
 Chapter Test
 Making an Informed Decision: Benefits of College Photo Credits
Appendix A: Tables
Appendix B (eText): B.1 Lines; B.2 Inference about Two Population Proportions: Dependent Samples; B.3 Comparing Three or More Means (OneWay Analysis of Variance)
Answers
Subject Index
Tables and Formulas
Your questions answered
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