## Statistics Using TechnologyThis is a statistics textbook to be used in an introductory statistics class. This book uses technology to calculate probabilities. The approach to this textbook is to ask people to interpret statistics and think statistically. |

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terrible explanations, and very jumpy.

### Contents

Experimental Design | 14 |

Quantitative Data | 36 |

Other Graphical Representations of Data | 56 |

Numerical Descriptions of Data | 71 |

Ranking | 99 |

Theoretical Probability | 114 |

Conditional Probability | 130 |

Discrete Probability Distributions | 147 |

OneSample Inference | 215 |

OneSample Proportion Test | 228 |

Estimation | 247 |

TwoSample Inference | 265 |

Independent Samples for Two Means | 293 |

Regression and Correlation | 317 |

Correlation | 336 |

ChiSquare and ANOVA Tests | 359 |

Mean and Standard Deviation of Binomial Distribution | 169 |

Assessing Normality | 190 |

ChiSquare Goodness of Fit | 375 |

Critical Value Tables | 395 |

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### Common terms and phrases

alcohol content autism average beer binomial experiment breastfeeding calculator calories cancer check the assumptions cholesterol cholesterol level class limit coefficient of determination collected confidence interval correlation data value defective lenses error estimate event space evidence to show Example expected frequencies fail to reject Figure Find the mean Find the probability Find the sample Find the standard five-number summary formula frequency distribution grade graph heart attack histogram Homework hypothesis test income independent leprosy level of significance linear look measure median normal probability plot normally distributed null and alternative number of data Number of defects outliers p-value parameters in words patients percentage pick prediction interval probability distribution probability of getting proportion pulse rate random variable regression equation relative frequency sample mean sample space sample statistic scatter plot score Section simple random sample Solution standard deviation Suppose Table test statistic variance weight