A First Course in StatisticsIntended for the one semester general statistics course, this text emphasizes statistical thinking. It introduces topics of data collection including observations, experiments, and surveys. |
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alternative hypothesis Applying the Concepts approximately normal Assume assumptions average binomial probability binomial random variable box plot brand calculate Central Limit Theorem Chapter confidence interval corresponding data provide sufficient data set Describe determine discrete random variable drug equal estimate the mean example experiment Find the probability frequency histogram graph independent inference Interpret large-sample Learning the Mechanics least squares line manufacturer mean and standard mean number median mileage Minitab mound-shaped normal distribution null and alternative null hypothesis observed significance level p-value percentage population mean prediction probability distribution proportion provide sufficient evidence random sample randomly selected Refer to Exercise rejection region relative frequency histogram sample mean sample space sample statistic sampling distribution scores shown in Figure simple events standard deviation standard normal stem-and-leaf display Suppose Table test of hypothesis test statistic two-tailed Type II error variance z-score στ