Business Statistics

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  • Edition: CD
  • Format: Hardcover w/CD
  • Copyright: 2010-01-01
  • Publisher: Addison Wesley
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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
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
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
Spread of the Distribution
Shape, Center, and Spread-A Summary
Five-Number Summary and Boxplots
Comparing Groups
Identifying Outliers
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
Table of Contents provided by Publisher. All Rights Reserved.

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