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A classic text for accuracy and statistical precision

Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple “canned” applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions. In this regard, it emphasizes an understanding of the assumptions that are necessary for professional analysis. In particular, it has greatly expanded the number of applications that utilize data from applied policy and research settings.

The Ninth Edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics. This revision recognizes the globalization of statistical study and in particular the global market for this book.

Features

·    Data Sets: A number of large data sets containing Taiwan’s real estate measures, automobile fuel consumption, health data, the HEI Cost Data Variable Subset (which Includes the Healthy Eating Index, a measure of diet quality developed by the Economic Research Service and computed for each individual in the survey), New York’s air quality index, and more are described in detail at the end of the chapters where they are used in exercises and case studies.

·    Applying Concepts: It is important for students to know statistical concepts and apply those to different situations they face everyday or will face as managers of the future. To aid their understanding,

o   Examples have been added to almost all sections that illustrate the application of the concepts or methods of that section to a real-world context (even though the company or organization may be hypothetical).

o   Problems are structured to present the perspective of a decision maker and the analysis provided is to help understand the use of statistics in a practical way.

o   Case Studies. Several case studies provide students with the opportunity to extend their statistical understanding to the context of research and analysis conducted by professionals.

Table of Contents

1: Describing Data: Graphical
2: Describing Data: Numerical
3: Probability
4: Discrete Random Variables and Probability Distributions
5: Continuous Random Variables and Probability Distributions
6: Sampling and Sampling Distributions
7: Estimation: Single Population
8: Estimation: Additional Topics
9: Hypothesis Testing: Single Population
10: Hypothesis Testing: Additional Topics
11: Simple Regression
12: Multiple Regression
13: Additional Topics in Regression Analysis
14: Analysis of Categorical Data
15: Analysis of Variance
16: Time-Series Analysis and Forecasting
17: Additional Topics in Sampling