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Statistical Techniques in Business and Economics, 16/e
- ISBN13:
9780078020520
- ISBN10:
0078020522
- Edition: 16th
- Format: Hardcover
- Copyright: 2014-01-21
- Publisher: MCG
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Summary
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.
Table of Contents
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 (Web)
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 (Web)
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 (Web)
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 (Web)
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 (Web)
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 (Web)
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 (Web)
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 (Web)
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 (Web)
Chapter 19 Statistical Process Control and Quality Management Chapter 20 An Introduction to Decision Theory (Web)
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January 24, 2015
"Odds are, you'll buy this book given that you're in a said class. The chances of you enjoying this book will be based on your propensity to like Bayes."
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Statistical Techniques in Business and Economics, 16/e: 3 out of 5 stars based on 1 user reviews.
