Business Statistics

by Sharpe, Norean R.; De Veaux, Richard D.; Velleman, Paul F.

• ISBN13: 9780321426598
• ISBN10: 0321426592
• Edition: CD
• Format: Hardcover w/CD
• Copyright: 2010-01-01
• Publisher: Addison Wesley

Summary

Normal 0 false false false Professors Norean Sharpe (Babson College), Dick De Veaux (Williams College), and Paul Velleman (Cornell University) have teamed up to provide an innovative new textbook for business statistics. These authors have taught at the finest business schools, and draw on their consulting experience at leading companies to show readers how statistical thinking is vital to modern decision making. Managers make better business decisions when they understand statistics, andBusiness Statisticsgives readers the statistical tools and understanding to take them from the classroom to the boardroom. Hundreds of examples are based on current events and timely business topics. Short, accessible chapters allow for flexible coverage of important topics, while the conversational writing style maintains interest and comprehension. EXPLORING AND COLLECTING DATA: Statistics and Variation; Data; Surveys and Sampling; Displaying and Describing Categorical Data; Randomness and Probability; Displaying and Describing Quantitative Data; UNDERSTANDING DATA AND DISTRIBUTIONS: Scatterplots, Association, and Correlation; Linear Regression; Sampling Distributions and the Normal Model; Confidence Intervals for Proportions; Testing Hypotheses about Proportions; Confidence Intervals and Hypothesis Tests for Means; Comparing Two Means; Paired Samples and Blocks; Inference for Counts: Chi-Square Tests; EXPLORING RELATIONSHIPS AMONG VARIABLES: Inference for Regression; Understanding Residuals; Multiple Regression; Building Multiple Regression Models; Time Series Analysis; BUILDING MODELS FOR DECISION MAKING: Probability Models; Decision Making and Risk; Design and Analysis of Experiments and Observational Studies; Introduction to Data Mining For all readers interested in business statistics.

Table of Contents

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Exploring And Collecting Data

Statistics and Variation

Data

What Are Data?

Variable Types

Where, How, and When

Surveys and Sampling

Three Ideas of Sampling

A Census-Does it Make Sense?

Populations and Parameters

Simple Random Sample (SRS)

Other Sample Designs

Defining the Population

The Valid Survey

Displaying and Describing Categorical Data

The Three Rules of Data Analysis

Frequency Tables

Charts

Contingency Tables

Randomness and Probability

Random Phenomena and Probability

The Non-existent Law of Averages

Different Types of Probability

Probability Rules

Joint Probability and Contingency Tables

Conditional Probability

Constructing Contingency Tables

Displaying and Describing Quantitative Data

Displaying Distributions

Shape

Center

Spread of the Distribution

Shape, Center, and Spread-A Summary

Five-Number Summary and Boxplots

Comparing Groups

Identifying Outliers

Standardizing

Time Series Plots

Transforming Skewed Data

Understanding Data And Distributions

Scatterplots, Association, and Correlation

Looking at Scatterplots

Assigning Roles to Variables in Scatterplots

Understanding Correlation

Straightening Scatterplots

Lurking Variables and Causation

Linear Regression

The Linear Model

Correlation and the Line

Regression to the Mean

Checking the Model

Learning More from the Residuals

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