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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?|
|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|
|Randomness and Probability|
|Random Phenomena and Probability|
|The Non-existent Law of Averages|
|Different Types of Probability|
|Joint Probability and Contingency Tables|
|Constructing Contingency Tables|
|Displaying and Describing Quantitative Data|
|Spread of the Distribution|
|Shape, Center, and Spread-A Summary|
|Five-Number Summary and Boxplots|
|Time Series Plots|
|Transforming Skewed Data|
|Understanding Data And Distributions|
|Scatterplots, Association, and Correlation|
|Looking at Scatterplots|
|Assigning Roles to Variables in Scatterplots|
|Lurking Variables and Causation|
|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.|