Statistics for Management and Economics (with CD-ROM and InfoTrac),9780534491246

Statistics for Management and Economics (with CD-ROM and InfoTrac)

by
Edition: 7th
ISBN13: 9780534491246
ISBN10: 0534491243
Format: Hardcover
Pub. Date: 2004-12-16
Publisher(s): South-Western College Pub
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Summary

This worldwide best-selling business statistics text teaches students how to apply statistics to real business problems through the author's unique three-step approach to problem solving. Students learn to IDENTIFY the right technique by focusing on the problem objective and data type. They then learn to COMPUTE the statistics either by hand, using Excel, or using MINITAB. Finally, they INTERPRET the results in the context of the problem. Keller's approach enhances student comprehension as well as practical skills. The book offers maximum flexibility to instructors wishing to teach concepts by hand or with the computer, or by using both hand and computer methods.

Table of Contents

What Is Statistics?
Introduction
Key Statistical Concepts
Statistical Applications in Business
Statistics and the Computer
World Wide Web and Learning Center
Introduction to Microsoft Excel
Introduction to MINITAB
Graphical And Tabular Descriptive Techniques
Introduction
Types of Data and Information
Graphical and Tabular Techniques for Nominal Data
Graphical Techniques for Interval Data
Describing the Relationship Between Two Variables
Describing Time-Series Data
Summary
Art And Science Of Graphical Presentations
Introduction
Graphical Excellence
Graphical Deception
Presenting Statistics: Written Reports and Oral Presentations
Summary
Numerical Descriptive Techniques
Introduction
Measures of Central Location
Measures of Variability
Measures of Relative Standing and Box Plots
Measures of Linear Relationship
(Optional) Applications in Professional Sports: Baseball
Comparing Graphical and Numerical Techniques
General Guidelines for Exploring Data
Summary
Review Of Descriptive Techniques
Data Collection And Sampling
Introduction
Methods of Collecting Data
Sampling
Sampling Plans
Sampling and Nonsampling Errors
Summary
Probability
Introduction
Assigning Probability to Events
Joint, Marginal, and Conditional Probability
Probability Rules and Trees
Bayes' Law
Identifying the Correct Method
Summary
Random Variables And Discrete Probability Distributions
Introduction
Random Variables and Probability Distributions
Bivariate Distributions
(Optional) Applications in Finance: Portfolio Diversification and Asset Allocation
Binomial Distribution
Poisson Distribution
Summary
Continuous Probability Distributions
Introduction
Probability Density Functions
Normal Distribution
(Optional) Exponential Distribution
Other Continuous Distributions
Summary
Sampling Distributions
Introduction
Sampling Distribution of the Mean
Sampling Distribution of a Proportion
Sampling Distribution of the Difference Between Two Means
From Here to Inference
Summary
Introduction To Estimation
Introduction
Concepts of Estimation
Estimating the Population Mean When the Population Standard Deviation is Known
Selecting the Sample Size
Summary
Introduction To Hypothesis Testing
Introduction
Concepts of Hypothesis Testing
Testing the Population Mean When the Population Standard Deviation is Known
Calculating the Probability of a Type II Error
The Road Ahead
Summary
Inference About A Population
Introduction
Inference about a Population Mean When the Standard Deviation is Unknown
Inference about a Population Variance
Inference about a Population Proportion
(Optional) Applications in Marketing: Market Segmentation
(Optional) Applications in Accounting: Auditing
Summary
Inference About Comparing Two Populations
Introduction
Inference about the Difference Between Two Means: Independent Samples
Observational and Experimental Data
Inference about the Difference Between Two Means: Matched Pairs Experiment
Inference about the Ratio of Two Variances
Inference about the Difference Between Two Population Proportions
Summary
Excel Instructions for Stacked and Unstacked Data
Minitab
Instructions for Stacked and Unstacked Data
Statistical Inference: Review Of Chapters 12 And 13
Introduction
Guide to Identifying the Correct Technique: Chapters 12 and 13
Analysis Of Variance
Introduction
One-Way Analysis of Variance
Analysis of Variance Experimental Designs
Randomized Blocks (Two-Way) Analysis of Variance
Two-Factor Analysis of Variance
(Optional) Applications in Operations Management: Finding and Reducing Variation
Multiple Comparisons
Summary
Chi-Squared Tests
Introduction
Chi-Squared Goodness-of-Fit Test
Chi-Squared Test of a Contingency Table
Summary of Tests on Nominal Data
(Optional) Chi-Squared Tests for Normality
Summary
Simple Linear Regression And Correlation
Introduction
Model
Estimating the Coeffici
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