## StatisticsKEY MESSAGE: TheEleventh Editionof this highly-regarded introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. McClave develops statistical thinking and teaches readers to properly assess the credibility of inferences-from the vantage point of both the consumer and the producer. This edition incorporates more exercises and more visual features, such as redesigned end-of-chapter summaries and an increased use of applets. This text assumes a mathematical background of basic algebra. KEY TOPICS: Statistics, Data, and Statistical Thinking; Methods for Describing Sets of Data; Probability; Discrete Random Variables; Continuous Random Variables; Sampling Distributions; Inferences Based on a Single Sample: Estimation with Confidence Intervals; Inferences Based on a Single Sample: Tests of Hypothesis; Inferences Based on a Two Samples: Confidence Intervals and Tests of Hypotheses; Analysis of Variance: Comparing More Than Two Means; Simple Linear Regression; Multiple Regression and Model Building; Categorical Data Analysis; Nonparametric Statistics MARKET: For all readers interested in statistics. |

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Statistics for Business and Economics James T. McClave,P. George Benson,Terry Sincich No preview available - 2008 |

### Contents

Statistics Data and Statistical Thinking | 4 |

Methods for Describing Sets of Data | 28 |

Probability | 112 |

Copyright | |

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ACTION REVISITED Applet Exercise Applying the Concepts—Advanced Applying the Concepts—Basic Applying the Concepts—Intermediate approximately normal Assume average binomial distribution binomial random variable box plot Calculate confidence interval contains continuous random variables data set descriptive statistics discrete random variable drug equal error estimate event example experiment Explain Find the probability formula frequency histogram graph histogram inference Interpret Journal listed mean and standard median method mileage MINITAB normal distribution normal probability null hypothesis observed occurs outcome outliers p-value parameter patients percentage percentile player Poisson population mean presented in Exercise probability distribution Problem proportion qualitative quantitative random sample randomly selected Refer rejection region relative frequency researchers rule sample mean sample points sample space sample statistic sampling distribution score shown in Figure standard deviation standard normal STATISTICS IN ACTION stem-and-leaf display summary Suppose survey test statistic tion true variance z-score