A First Course in Statistics
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.
19 pages matching reject H0 in this book
Results 1-3 of 19
What people are saying - Write a review
We haven't found any reviews in the usual places.
alternative hypothesis Applying the concepts Approx approximately normal assume assumptions binomial probability distribution binomial random variable brand calculate central limit theorem Chapter computed confidence interval data provide sufficient data set DEFlNlTlON degrees of freedom discrete random variable drug equal error estimate the mean evidence to indicate example Exercise EXERClSES Learning Find a 90 Find the probability FlGURE frequency distribution graph independent inference large number Learning the mechanics least squares line mean number median method mound-shaped normal distribution null hypothesis number of measurements observed significance level P(AB parameter percentage population means prediction interval probability distribution proportion provide sufficient evidence random sample randomly selected reject H0 Rejection region relative frequency distribution relative frequency histogram sample mean sample space sample statistic sampling distribution shown in Figure simple events standard deviation Suppose Test H0 test scores test statistic Test the null toss total number variance z-score