
Essentials of Statistics: Pearson New International Edition
Mario F. Triola(Author)
Pearson Education Limited (Publisher)
4th Edition
Published on 1. August 2013
Book
Mixed media product
672 pages
978-1-292-02269-7 (ISBN)
Article exhausted; check for reprint
Description
95% of Introductory Statistics students will never take another Statistics course. What do you want your students to learn?
Discover the Power of Real Data
Mario Triola remains the market-leading statistics author by engaging students of each edition with an abundance of real data in the examples, applications, and exercises. Statistics is all around us, and Triola helps students understand how this course will impact their lives beyond the classroom-as consumers, citizens, and professionals.
Essentials of Statistics, Fourth Edition is the ideal text for instructors who want a more economical and streamlined text for their introductory statistics course. Drawn from Triola's Elementary Statistics, Eleventh Edition, this text provides the same student-friendly approach with material presented in a real-world context.
The Fourth Edition contains more than 1,700 exercises (18% more than the previous edition); 89% are new and 81% use real data. The book also contains hundreds of examples; 86% are new and 92% use real data. By analyzing real data, students are able to connect abstract concepts to the world at large, teaching them to think statistically and apply their conceptual understanding using the same methods that professional statisticians employ.
Datasets and other resources (where applicable) for this book are available here.
Discover the Power of Real Data
Mario Triola remains the market-leading statistics author by engaging students of each edition with an abundance of real data in the examples, applications, and exercises. Statistics is all around us, and Triola helps students understand how this course will impact their lives beyond the classroom-as consumers, citizens, and professionals.
Essentials of Statistics, Fourth Edition is the ideal text for instructors who want a more economical and streamlined text for their introductory statistics course. Drawn from Triola's Elementary Statistics, Eleventh Edition, this text provides the same student-friendly approach with material presented in a real-world context.
The Fourth Edition contains more than 1,700 exercises (18% more than the previous edition); 89% are new and 81% use real data. The book also contains hundreds of examples; 86% are new and 92% use real data. By analyzing real data, students are able to connect abstract concepts to the world at large, teaching them to think statistically and apply their conceptual understanding using the same methods that professional statisticians employ.
Datasets and other resources (where applicable) for this book are available here.
More details
Edition
4th edition
Language
English
Place of publication
Harlow
United Kingdom
Target group
College/higher education
Dimensions
Height: 276 mm
Width: 216 mm
Thickness: 24 mm
Weight
1358 gr
ISBN-13
978-1-292-02269-7 (9781292022697)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Mario Triola
Essentials of Statistics, Global Edition
Book
09/2014
5th Edition
Pearson Education Limited
€107.89
Shipment within 10-20 days
Previous edition

Book
06/2010
4th Edition
Pearson
€120.07
Article exhausted; check for reprint
Content
1. Introduction to Statistics
1-1. Review and Preview
1-2. Statistical Thinking
1-3. Types of Data
1-4. Critical Thinking
1-5. Design of Experiments
2. Summarizing and Graphing Data
2-1. Review and Preview
2-2. Frequency Distributions
2-3. Histograms
2-4. Statistical Graphics
2-5. Critical Thinking: Bad Graphs
3. Statistics for Describing, Exploring, and Comparing Data
3-1. Review and Preview
3-2. Measures of Center
3-3. Measures of Variation
3-4. Measures of Relative Standing and Boxplots
4. Probability
4-1. Review and Preview
4-2. Fundamentals
4-3. Addition Rule
4-4. Multiplication Rule: Basics
4-5. Multiplication Rule: Complements and Conditional Probability
4-6. Counting
4-7. Bayes' Theorem (on CD-ROM)
5. Discrete Probability Distributions
5-1. Review and Preview
5-2. Random Variables
5-3. Binomial Probability Distributions
5-4. Mean, Variance, and Standard Deviation for the Binomial Distribution
6. Normal Probability Distributions
6-1. Review and Preview
6-2. The Standard Normal Distribution
6-3. Applications of Normal Distributions
6-4. Sampling Distributions and Estimators
6-5. The Central Limit Theorem
6-6. Normal as Approximation to Binomial
6-.7 Assessing Normality
7. Estimates and Sample Sizes
7-1. Review and Preview
7-2. Estimating at Population Proportion
7-3. Estimating Population Mean: ? Known
7-4. Estimating a Population Mean: ? Not Known
7-5. Estimating a Population Variance
8. Hypothesis Testing
8-1. Review and Preview
8-2. Basics of Hypothesis Testing
8-3. Testing a Claim About a Proportion
8-4. Testing a Claim About a Mean: ? Known
8-5. Testing a Claim About a Mean: ? Not Known
8-6. Testing a Claim About Variation
9. Inferences from Two Samples
9-1. Review and Preview
9-2. Inferences About Two Proportions
9-3. Inferences About Two Means: Independent Samples
9-4. Inferences from Matched Pairs
10. Correlation and Regression
10-1. Review and Preview
10-2. Correlation
10-3. Contingency Tables
10-4. Variation and Prediction Intervals
10-5. Rank Correlation
Appendices
Appendix A: Tables
Appendix B: Data Sets
Appendix C: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)
Credits
Index
1-1. Review and Preview
1-2. Statistical Thinking
1-3. Types of Data
1-4. Critical Thinking
1-5. Design of Experiments
2. Summarizing and Graphing Data
2-1. Review and Preview
2-2. Frequency Distributions
2-3. Histograms
2-4. Statistical Graphics
2-5. Critical Thinking: Bad Graphs
3. Statistics for Describing, Exploring, and Comparing Data
3-1. Review and Preview
3-2. Measures of Center
3-3. Measures of Variation
3-4. Measures of Relative Standing and Boxplots
4. Probability
4-1. Review and Preview
4-2. Fundamentals
4-3. Addition Rule
4-4. Multiplication Rule: Basics
4-5. Multiplication Rule: Complements and Conditional Probability
4-6. Counting
4-7. Bayes' Theorem (on CD-ROM)
5. Discrete Probability Distributions
5-1. Review and Preview
5-2. Random Variables
5-3. Binomial Probability Distributions
5-4. Mean, Variance, and Standard Deviation for the Binomial Distribution
6. Normal Probability Distributions
6-1. Review and Preview
6-2. The Standard Normal Distribution
6-3. Applications of Normal Distributions
6-4. Sampling Distributions and Estimators
6-5. The Central Limit Theorem
6-6. Normal as Approximation to Binomial
6-.7 Assessing Normality
7. Estimates and Sample Sizes
7-1. Review and Preview
7-2. Estimating at Population Proportion
7-3. Estimating Population Mean: ? Known
7-4. Estimating a Population Mean: ? Not Known
7-5. Estimating a Population Variance
8. Hypothesis Testing
8-1. Review and Preview
8-2. Basics of Hypothesis Testing
8-3. Testing a Claim About a Proportion
8-4. Testing a Claim About a Mean: ? Known
8-5. Testing a Claim About a Mean: ? Not Known
8-6. Testing a Claim About Variation
9. Inferences from Two Samples
9-1. Review and Preview
9-2. Inferences About Two Proportions
9-3. Inferences About Two Means: Independent Samples
9-4. Inferences from Matched Pairs
10. Correlation and Regression
10-1. Review and Preview
10-2. Correlation
10-3. Contingency Tables
10-4. Variation and Prediction Intervals
10-5. Rank Correlation
Appendices
Appendix A: Tables
Appendix B: Data Sets
Appendix C: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)
Credits
Index