A First Course in StatisticsPrentice Hall PTR, 1983 - Mathematics This introduction to statistics helps readers develop and enhance their critical thinking skills. It shows readers how to analyze data that appear in situations in the world around them and features an abundance of examples and exercisesnearly all based on current, real-world applications pulled from journals, magazines, news articles, and commerce. In addition, this book exposes readers to the most recent statistical software packages that will prove helpful on the job. Presenting balanced coverage of both the theory and application of statistics, the book discusses methods for describing data sets; probability; random variables and probability distributions; inferences based on a single sample utilizing tests of hypothesis and confidence intervals; comparing population proportions and means; simple linear regression, and much more. For business, engineering, and science professionals. |
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alternative hypothesis Applying the concepts Approx approximately normal assume assumptions B₁ brand calculate central limit theorem Chapter computed confidence interval data provide sufficient data set degrees of freedom discrete random variable drug equal error estimate the difference estimate the mean evidence to indicate example Find a 90 frequency histogram graph inferences interpret its value large-sample Learning the mechanics least squares line linear M₂ mean and standard mean number median method n₁ n₂ normally distributed null hypothesis observed significance level P₁ P₂ percentage population means prediction interval probability distribution produced provide sufficient evidence randomly selected reject the null Rejection region relative frequency histogram sample mean sample statistic sampling distribution Section shown in Figure simple events standard deviation Suppose test scores test statistic Test the null toss total number Type I error variance X₁ X₂ z statistic z-score μ₁ μ₂