Elementary Statistics

Elementary Statistics, 13th edition

  • Mario F. Triola

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Overview

Using real, current data, Elementary Statistics will help you understand the role of statistics in the world around you. Market-leading author Marty Triola's approach is readable and visual, featuring flowcharts throughout that simplify and clarify more complex concepts and procedures. The Your Turn feature allows you to immediately apply what you've learned, and end of chapter reviews will test and reinforce your understanding. You'll come away with the foundational skills to apply statistical procedures and interpret data.

The 13th Edition offers a wealth of new data sets, exercises, and examples, along with larger data sets. With these content updates, the text is more relevant and supportive than ever.

Published by Pearson (January 1st 2018) - Copyright © 2019

ISBN-13: 9780137324750

Subject: Statistics, Introductory

Category: Introductory Statistics

Table of contents

1. Introduction to Statistics
1.1 Statistical and Critical Thinking
1.2 Types of Data
1.3 Collecting Sample Data
1.4 Ethics in Statistics (download only)

2. Exploring Data with Tables and Graphs
2.1 Frequency Distributions for Organizing and Summarizing Data
2.2 Histograms
2.3 Graphs That Enlighten and Graphs That Deceive
2.4 Scatterplots, Correlation, and Regression

3. Describing, Exploring, and Comparing Data
3.1 Measures of Center
3.2 Measures of Variation
3.3 Measures of Relative Standing and Boxplots

4. Probability
4.1 Basic Concepts of Probability
4.2 Addition Rule and Multiplication Rule
4.3 Complements, Conditional Probability, and Bayes' Theorem
4.4 Counting
4.5 Simulations for Hypothesis Tests

5. Discrete Probability Distributions
5.1 Probability Distributions
5.2 Binomial Probability Distributions
5.3 Poisson Probability Distributions

6. Normal Probability Distributions
6.1 The Standard Normal Distribution
6.2 Real Applications of Normal Distributions
6.3 Sampling Distributions and Estimators
6.4 The Central Limit Theorem
6.5 Assessing Normality
6.6 Normal as Approximation to Binomial (download only)

7. Estimating Parameters and Determining Sample Sizes
7.1 Estimating a Population Proportion
7.2 Estimating a Population Mean
7.3 Estimating a Population Standard Deviation or Variance
7.4 Bootstrapping: Using Technology for Estimates

8. Hypothesis Testing
8.1 Basics of Hypothesis Testing
8.2 Testing a Claim About a Proportion
8.3 Testing a Claim About a Mean
8.4 Testing a Claim About a Standard Deviation or Variance
8.5 Resampling: Using Technology for Hypothesis Testing

9. Inferences from Two Samples
9.1 Two Proportions
9.2 Two Means: Independent Samples
9.3 Matched Pairs
9.4 Two Variances or Standard Deviations
9.5 Resampling: Using Technology for Inferences

10. Correlation and Regression
10.1 Correlation
10.2 Regression
10.3 Prediction Intervals and Variation
10.4 Multiple Regression
10.5 Nonlinear Regression

11. Goodness-of-Fit and Contingency Tables
11.1 Goodness-of-Fit
11.2 Contingency Tables

12. Analysis of Variance
12.1 One-Way ANOVA
12.2 Two-Way ANOVA

13. Nonparametric Tests
13.1 Basics of Nonparametric Tests
13.2 Sign Test
13.3 Wilcoxon Signed.Ranks Test for Matched Pairs
13.4 Wilcoxon Rank-Sum Test for Two Independent Samples
13.5 Kruskal-Wallis Test for Three or More Samples
13.6 Rank Correlation
13.7 Runs Test for Randomness

14. Statistics Process Control
14.1 Control Charts for Variation and Mean
14.2 Control Charts for Attributes

15. Holistic Statistics

Appendix A: Tables
Appendix B: Data Sets
Appendix C: Websites and Bibliography of Books
Appendix D: Answers to Odd-Numbered Section Exercises (and all Quick Quizzes, Review Exercises, and Cumulative Review Exercises)

Credits
Index
Index of Applications

Your questions answered

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