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Statistical Techniques in Business and Economics, 16/e,9780078020520
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Statistical Techniques in Business and Economics, 16/e

by ; ;
Edition:
16th
ISBN13:

9780078020520

ISBN10:
0078020522
Format:
Hardcover
Pub. Date:
1/21/2014
Publisher(s):
MCG
List Price: $288.23

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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 Plus 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)



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