| This introduction to statistics presents balanced coverage of both the theory and application of statistics and at the same time helps learners develop and enhance their critical thinking skills. It teaches readers how to analyze data that appear in situations in the world around them and features an abundance of examples and exercises-nearly all based on current, real-world applications pulled from journals, magazines, news articles, and commerce. Chapter topics cover statistics, data, and statistical thinking; methods for describing sets of data; probability; discrete random variables; continuous random variables; sampling distributions; inferences based on a single sample: estimation with confidence intervals; inferences based on a single sample: tests of hypotheses; inferences based on two samples: confidence intervals and tests of hypotheses; analysis of variance: comparing more than two means; simple linear regression; multiple regression and model building; categorical data analysis; and nonparametric statistics. For individuals who want to learn the fundamentals of statistics. |