## A first course in statistics |

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### Contents

we will use some sample numerical descriptive measures to esti | 14 |

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### Common terms and phrases

altemative hypothesis approximately normal Assume assumptions average binomial distribution binomial probability binomial random variable box plot brand calculate Central Limit Theorem Chapter conﬁdence interval Construct corresponding data provide data set deﬁned Describe discrete random variable drug equal evidence to indicate example ﬁnd Find the probability ﬁrms ﬁrst ﬁve given graph inference interpret large number large-sample leaf display LEARNING THE MECHANICS least squares line manufacturer mean and standard mean number measurements median mileage Minitab mound-shaped normal distribution normal random variable null hypothesis observed signiﬁcance level p-value P(AB parameter patients percentage population mean prediction probability distribution procedure proportion random sample randomly selected Refer to Exercise rejection region relative frequency histogram sample mean sample space sample statistics sampling distribution Section shown in Figure simple events SOLUTION speciﬁc standard deviation standard normal stem and leaf student Suppose Table test statistic toss variance Venn diagram z-score