## A course in business statistics |

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### Contents

What Is Statistics | 1 |

Describing Distributions of Measurements | 12 |

3 | 57 |

Copyright | |

20 other sections not shown

### Common terms and phrases

alternative hypothesis analysis of variance appendix assume assumptions automobile average binomial probability distribution calculating the probability Central Limit Theorem confidence interval correlation corresponding data present sufficient data provide sufficient decision defective degrees of freedom difference equal evidence to indicate example expected value Find a 90 Find the probability fraction frequency histogram given graph large number mean number measurements method Minitab multiple regression normally distributed Note null hypothesis observed significance level obtained one-tailed test parameters payoff population mean prediction equation prediction interval present sufficient evidence problem procedure production provide sufficient evidence random sample random variable randomly selected Refer to Exercise regression analysis reject H0 reject the null rejection region relative frequency histogram result sample mean sample points sampling distribution Section shown in Figure simple events solution specific standard deviation statistical test sum of squares Suppose test statistic tion total number two-tailed test