Statistics for Management and Economics, 10th Edition

STATISTICS FOR MANAGEMENT AND ECONOMICS, Tenth Edition, emphasizes applications over calculation. It illustrates how vital statistical methods and tools are for today’s managers–and teaches you how to apply them to real business problems. Using a proven three-step “ICI” approach to problem solving, the text teaches you how to IDENTIFY the correct statistical technique by focusing on the problem objective and data type; how to COMPUTE the statistics doing them by hand, using Excel, or using MINITAB; and how to INTERPRET results in the context of the problem. This unique approach enhances your comprehension and practical skills. The text’s vast assortment of data-driven examples, exercises, and cases covers the various functional areas of business, demonstrating the statistical applications that marketing managers, financial analysts, accountants, economists, and others use. These comprehensive applications give you hands-on practice, while solid pedagogical elements make the material more accessible and easy to apply to your world. Completely up-to-date, the tenth edition offers comprehensive coverage, current examples, and Excel 2013 and MINITAB 16 content.

Table of Contents

Chapter 1 What is Statistics?
Chapter 2 Graphical Descriptive Techniques I
Chapter 3 Graphical Descriptive Techniques II
Chapter 4 Numerical Descriptive Techniques
Chapter 5 Data Collection And Sampling
Chapter 6 Art and Science of Graphical Presentations
Chapter 7 Random Variables and Discrete Probability Distributions
Chapter 8 Continuous Probability Distributions
Chapter 9 Sampling Distributions
Chapter 10 Introduction to Estimation
Chapter 11 Introduction to Hypothesis Testing
Chapter 12 Inference About a Population
Chapter 13 Inference about Comparing Two Populations
Chapter 14 Analysis of Variance
Chapter 15 Chi-Squared Tests
Chapter 16 Simple Linear Regression and Correlation
Chapter 17 Multiple Regression
Chapter 18 Model Building
Chapter 19 Nonparametric Statistics
Chapter 20 Time-Series Analysis and Forecasting
Chapter 21 Statistical Process Control
Chapter 22 Decision Analysis