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Download Statistics: Learning from Data (2nd Edition) written by Roxy Peck, Tom Short in PDF format. This book is under the category Mathematics and bearing the isbn/isbn13 number 1337558087/9781337558082. You may reffer the table below for additional details of the book.

## Description

*Roxy Peck & Tom Short’s Statistics: Learning From Data 2nd Edition (PDF)*; addresses common problems faced by learners of elementary statistics with an innovative approach. The authors have paid particular attention to areas learners often struggle with — probability; hypothesis testing; and selecting an appropriate method of analysis. Probability coverage is based on current research on how students best learn the subject. A unique chapter that provides an informal introduction to the ideas of statistical inference helps students to develop a framework for choosing an appropriate method. Supported by learning objectives; real-data examples and exercises; and technology notes; this book helps learners to develop conceptual understanding; mechanical proficiency; and the ability to put knowledge into practice.

**Note: Media content referenced within the product description or the product text may not be available in this ebook version. This only contains Statistics: Learning from Data 2nd edition PDF. We also have the Statistics: Learning from Data 2E testbank; instructors solution manual and slides. Contact us for more info.**

## Additional information

book-author | Roxy Peck, Tom Short |
---|---|

publisher | Cengage Learning; 2nd edition |

file-type | |

pages | 729 pages |

language | English |

asin | B078KVGV11 |

isbn10 | 1337558087 |

isbn13 | 9781337558082 |

## Table of contents

Table of contents :

Cover

Author Bios

Brief Contents

Contents

Preface

Section I: Collecting Data

Chapter 1: Collecting Data in Reasonable Ways

Preview

Chapter Learning Objectives

1.1 Statistics-It’s All about Variability

1.2 Statistical Studies: Observation and Experimentation

1.3 Collecting Data: Planning an Observational Study

1.4 Collecting Data-Planning an Experiment

1.5 The Importance of Random Selection and Random Assignment: What Types of Conclusions Are Reasonable?

1.6 Avoid These Common Mistakes

Chapter Activities

Chapter 1 Explorations in Statistical Thinking

Are You Ready to Move On? Chapter 1 Review Exercises

Section II: Describing Data Distributions

Chapter 2: Graphical Methods for Describing Data Distributions

Preview

Chapter Learning Objectives

2.1 Selecting an Appropriate Graphical Display

2.2 Displaying Categorical Data: Bar Charts and Comparative Bar Charts

2.3 Displaying Numerical Data: Dotplots, Stem-and-Leaf Displays, and Histograms

2.4 Displaying Bivariate Numerical Data: Scatterplots and Time Series Plots

2.5 Graphical Displays in the Media

2.6 Avoid These Common Mistakes

Chapter Activities

Chapter 2 Explorations in Statistical Thinking

Are You Ready to Move On? Chapter 2 Review Exercises

Technology Notes

Chapter 3: Numerical Methods for Describing Data Distributions

Preview

Chapter Learning Objectives

3.1 Selecting Appropriate Numerical Summaries

3.2 Describing Center and Variability for Data Distributions That Are Approximately Symmetric

3.3 Describing Center and Variability for Data Distributions That Are Skewed or Have Outliers

3.4 Summarizing a Data Set: Boxplots

3.5 Measures of Relative Standing: z-scores and Percentiles

3.6 Avoid These Common Mistakes

Chapter Activities

Chapter 3 Explorations in Statistical Thinking

Are You Ready to Move On? Chapter 3 Review Exercises

Technology Notes

Chapter 4: Describing Bivariate Numerical Data

Preview

Chapter Learning Objectives

4.1 Correlation

4.2 Linear Regression: Fitting a Line to Bivariate Data

4.3 Assessing the Fit of a Line

4.4 Describing Linear Relationships and Making Predictions-Putting It All Together

4.5 Avoid These Common Mistakes

Chapter Activities

Chapter 4 Explorations in Statistical Thinking

Are You Ready to Move On? Chapter 4 Review Exercises

Technology Notes

Section III: A Foundation for Inference: Reasoning about Probability

Chapter 5: Probability

Preview

Chapter Learning Objectives

5.1 Interpreting Probabilities

5.2 Calculating Probabilities

5.3 Probabilities of More Complex Events: Unions, Intersections, and Complements

5.4 Conditional Probability

5.5 Calculating Probabilities-A More Formal Approach (Optional)

5.6 Probability as a Basis for Making Decisions

5.7 Estimating Probabilities Empirically and Using Simulation (Optional)

Chapter Activities

Are You Ready to Move On? Chapter 5 Review Exercises

Chapter 6: Random Variables and Probability Distributions

Preview

Chapter Learning Objectives

6.1 Random Variables

6.2 Probability Distributions for Discrete Random Variables

6.3 Probability Distributions for Continuous Random Variables

6.4 The Mean and Standard Deviation of a Random Variable

6.5 Normal Distributions

6.6 Checking for Normality

6.7 Binomial and Geometric Distributions (Optional)

6.8 Using the Normal Distribution to Approximate a Discrete Distribution (Optional)

Chapter Activities

Are You Ready to Move On? Chapter 6 Review Exercises

Technology Notes

Section IV: Learning from Sample Data

Chapter 7: An Overview of Statistical Inference-Learning from Data

Preview

Chapter Learning Objectives

7.1 Statistical Inference-What You Can Learn from Data

7.2 Selecting an Appropriate Method-Four Key Questions

7.3 A Five-Step Process for Statistical Inference

Chapter Activities

Are You Ready to Move On? Chapter 7 Review Exercises

Chapter 8: Sampling Variability and Sampling Distributions

Preview

Chapter Learning Objectives

8.1 Statistics and Sampling Variability

8.2 The Sampling Distribution of a Sample Proportion

8.3 How Sampling Distributions Support Learning from Data

Chapter Activities

Chapter 8 Explorations in Statistical Thinking

Are You Ready to Move On? Chapter 8 Review Exercises

Chapter 9: Estimating a Population Proportion

Preview

Chapter Learning Objectives

9.1 Selecting an Estimator

9.2 Estimating a Population Proportion-Margin of Error

9.3 A Large Sample Confidence Interval for a Population Proportion

9.4 Choosing a Sample Size to Achieve a Desired Margin of Error

9.5 Bootstrap Confidence Intervals for a Population Proportion (Optional)

9.6 Avoid These Common Mistakes

Chapter Activities

Chapter 9: Explorations in Statistical Thinking

Are You Ready to Move On? Chapter 9 Review Exercises

Technology Notes

Chapter 10: Asking and Answering Questions about a Population Proportion

Preview

Chapter Learning Objectives

10.1 Hypotheses and Possible Conclusions

10.2 Potential Errors in Hypothesis Testing

10.3 The Logic of Hypothesis Testing-An Informal Example

10.4 A Procedure for Carrying Out a Hypothesis Test

10.5 Large-Sample Hypothesis Test for a Population Proportion

10.6 Randomization Tests and Exact Binomial Tests for One Proportion (Optional)

10.7 Avoid These Common Mistakes

Chapter Activities

Chapter 10: Explorations in Statistical Thinking

Are You Ready to Move On? Chapter 10 Review Exercises

Technology Notes

Chapter 11: Asking and Answering Questions about the Difference between Two Population Proportions

Preview

Chapter Learning Objectives

11.1 Estimating the Difference between Two Population Proportions

11.2 Testing Hypotheses about the Difference between two Population Proportions

11.3 Inference for Two Proportions Using Data from an Experiment

11.4 Simulation-Based Inference for Two Proportions (Optional)

11.5 Avoid These Common Mistakes

Chapter Activities

Chapter 11 Explorations in Statistical Thinking

Are You Ready to Move On? Chapter 11 Review Exercises

Technology Notes

Chapter 12: Asking and Answering Questions about a Population Mean

Preview

Chapter Learning Objectives

12.1 The Sampling Distribution of the Sample Mean

12.2 A Confidence Interval for a Population Mean

12.3 Testing Hypotheses about a Population Mean

12.4 Simulation-Based Inference for One Mean (Optional)

12.5 Avoid These Common Mistakes

Chapter Activities

Chapter 12 Explorations in Statistical Thinking

Are You Ready to Move On? Chapter 12 Review Exercises

Technology Notes

Chapter 13: Asking and Answering Questions about the Difference between Two Means

Preview

Chapter Learning Objectives

13.1 Two Samples: Paired versus Independent Samples

13.2 Learning about a Difference in Population Means Using Paired Samples

13.3 Learning about a Difference in Population Means Using Independent Samples

13.4 Inference for Two Means Using Data from an Experiment

13.5 Simulation-Based Inference for Two Means (Optional)

13.6 Avoid These Common Mistakes

Chapter Activities

Chapter 13 Explorations in Statistical Thinking

Are You Ready to Move On? Chapter 13 Review Exercises

Technology Notes

Section V: Additional Opportunities to Learn from Data

Chapter 14: Learning from Categorical Data

Preview

Chapter Learning Objectives

14.1 Chi-Square Tests for Univariate Categorical Data

14.2 Tests for Homogeneity and Independence in a Two-Way Table

14.3 Avoid These Common Mistakes

Chapter Activities

Are You Ready to Move On? Chapter 14 Review Exercises

Technology Notes

Chapter 15: Understanding Relationships-Numerical Data

Preview

Chapter Learning Objectives

15.1 The Simple Linear Regression Model

15.2 Inferences Concerning the Slope of the Population Regression Line

15.3 Checking Model Adequacy

Are You Ready to Move On? Chapter 15 Review Exercises

Technology Notes

Chapter 16: Asking and Answering Questions about More Than Two Means

Preview

Chapter Learning Objectives

16.1 The Analysis of Variance-Single-Factor ANOVA and the F Test

16.2 Multiple Comparisons

Are You Ready to Move On? Chapter 16 Review Exercises

Technology Notes

Appendix A: Statistical Tables

Answers

Index

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