## A first course in statisticsThis book presents balanced coverage of the theory and application of statistics while enhancing reader's critical thinking skills. This book shows readers that knowledge of statistics is important to their own lives. Almost all of the I examples and exercises are based on current, real-world applications pulled from journals, magazines, news articles, and commerce. Presents the importance of data collection, observations, experiments, and surveys in drawing meaningful inferences from data. Now provides an equal balance between applications relying on p-values and those relying on critical values in their interpretation. |

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### Contents

Statistics Data and Statistical Thinking | 1 |

Exercise File | 2 |

CASE STUDY 1 1 The Latest Hite ReportControversy over the Numbers | 12 |

Copyright | |

29 other sections not shown

### Common terms and phrases

alternative hypothesis analysis Assume assumptions average binomial box plot Calculate Central Limit Theorem coefficient conducted confidence interval data provide sufficient data set degrees of freedom determine discrete random variable drug equal error estimate event example Find the probability formula frequency histogram graph histogram inference Interpret the result Journal Learning the Mechanics least squares least squares line male mean and standard measurements median method MINITAB normal distribution null and alternative null hypothesis observed significance level obtained p-value parameter patients percentage population mean prediction probability distribution proportion provide sufficient evidence randomly selected rank sum Refer to Exercise reject H0 Rejection region relative frequency researchers sample mean sample points sample space sample statistic sampling distribution SAS printout scores shown in Figure skewed standard deviation standard normal stem-and-leaf display Suppose Table test of hypothesis test statistic tion variance Venn diagram z-score