Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of business-focused examples that are relevant to the current world of a college student. Known as a “student’s text,“ Lind’s supporting pedagogy includes self-reviews, cumulative exercises, and coverage of software applications including Excel, Minitab, and MegaStat for Excel. And now, McGraw-Hill’s adaptive learning component, LearnSmart, provides assignable modules that help students master chapter core concepts and come to class more prepared. In addition, resources within Connect help students solve problems and apply what they’ve learned. Lind’s real-world examples, comprehensive coverage, and superior pedagogy combine with a complete digital solution to help students achieve higher outcomes in the course.
Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.
Chapter 1 What is Statistics?
Chapter 2 Describing Data: FREQUENCY TABLES, FREQUENCY DISTRIBUTIONS, AND GRAPHIC PRESENTATION
Chapter 3 Describing Data: NUMERICAL MEASURES
Chapter 4 Describing Data: DISPLAYING AND EXPLORING DATA
Chapter 5 A Survey of Probability Concepts
Chapter 6 Discrete Probability Distributions
Chapter 7 Continuous Probability Distributions
Chapter 8 Sampling Methods and the Central Limit Theorem
Chapter 9 Estimation and Confidence Intervals
Chapter 10 One-Sample Tests of Hypothesis
Chapter 11 Two-Sample Tests of Hypothesis
Chapter 12 Analysis of Variance
Chapter 13 Correlation and Linear Regression
Chapter 14 Multiple Regression Analysis
Chapter 15 Nonparametric Methods: NOMINAL LEVEL HYPOTHESIS TESTS
Chapter 16 Nonparametric Methods: ANALYSIS OF ORDINAL DATA
Chapter 17 Index Numbers
Chapter 18 Time Series and Forecasting
Chapter 19 Statistical Process Control and Quality Management
Chapter 20 An Introduction to Decision Theory
