Real data bring statistics to life
From opinion polls and clinical trials to self-driving cars, statistics influences and shapes the world around us. Best-selling author Marty Triola is committed to keeping Essentials of Statistics current — with an unprecedented amount of current real data — so that students of all majors understand the role of statistics in the world around them.
In addition to an abundance of new data sets, examples, and exercises, the 6th Edition is even more effective for today’s instructors with the addition of learning objectives as an organizational tool, larger data sets, and new topics and organization in line with advancements in statistics education. In addition, students will find more support in an all-new series of videos, additional opportunities for practice, and improved support for statistical software.
Author(s): Mario F. Triola
Edition: 6
Publisher: Pearson
Year: 2019
Language: English
Commentary: True PDF
Pages: 648
City: New York, NY
Tags: Regression; Statistics; Mathematics; Probability Theory; Statistical Inference; Nonparametric Models
(cover)
Frontmatter
About the Author
Contents
Preface
Chapter 1: Introduction to Statistics
Chapter 1 Opener
1-1 Statistical and Critical Thinking
1-2 Types of Data
1-3 Collecting Sample Data
End of Chapter Materials
Chapter 2: Exploring Data with Tables and Graphs
Chapter 2 Opener
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
End of Chapter Materials
Chapter 3: Describing, Exploring, and Comparing Data
Chapter 3 Opener
3-1 Measures of Center
3-2 Measures of Variation
3-3 Measures of Relative Standing and Boxplots
End of Chapter Materials
Chapter 4: Probability
Chapter 4 Opener
4-1 Basic Concepts of Probability
4-2 Addition Rule and Multiplication Rule
4-3 Complements, Conditional Probability, and Bayesˇ Theorem
4-4 Counting
4-5 Probabilities Through Simulations
End of Chapter Materials
Chapter 5: Discrete Probability Distributions
Chapter 5 Opener
5-1 Probability Distributions
5-2 Binomial Probability Distributions
5-3 Poisson Probability Distributions
End of Chapter Materials
Chapter 6: Normal Probability Distributions
Chapter 6 Opener
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
End of Chapter Materials
Chapter 7: Estimating Parameters and Determining Sample Sizes
Chapter 7 Opener
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
End of Chapter Materials
Chapter 8: Hypothesis Testing
Chapter 8 Opener
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
End of Chapter Materials
Chapter 9: Inferences from Two Samples
Chapter 9 Opener
9-1 Two Proportions
9-2 Two Means: Independent Samples
9-3 Two Dependent Samples (Matched Pairs)
End of Chapter Materials
Chapter 10: Correlation and Regression
Chapter 10 Opener
10-1 Correlation
10-2 Regression
10-3 Rank Correlation
End of Chapter Materials
Chapter 11: Chi-Square and Analysis of Variance
Chapter 11 Opener
11-1 Goodness-of-Fit
11-2 Contingency Tables
11-3 One Way Analysis of Variance
End of Chapter Materials
Appendix A: Tables
Appendix B: Data Sets
Appendix C: Websites and Bibliography of Books
Appendix D: Answers to Odd-Numbered Section Exercises
Credits
Index of Applications
Index
z Scores and t Values
Barrelfold Tables
