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

by Keller, Gerald

• ISBN13: 9780534491246
• ISBN10: 0534491243
• Edition: 7th
• Format: Hardcover
• Copyright: 2004-12-16
• Publisher: South-Western College Pub

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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