Essentials of Statistics

Description

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. (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