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.
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Statistics Data and Statistical Thinking I
Fact or Fiction?
Does Experience Improve Performance?
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Applying the Concepts—Advanced Applying the Concepts—Basic Applying the Concepts—Intermediate approximately normal Assume assumptions binomial random variable box plot brand Calculate completely randomized design conducted confidence interval data set discrete random variable drug equal error estimate event example experiment Explain Find the probability formula frequency histogram graph histogram independent variables inference Interpret the result Journal Learning the Mechanics male mean and standard measurements median method mileage MINITAB mound-shaped normal distribution null hypothesis observed obtained Output for Exercise p-value parameter patients percentage percentile population mean prediction probability distribution quantitative random sample randomly selected regression rejection region relative frequency researchers sample mean sample points sample space sample statistic sampling distribution score Section shown in Figure Solution Source SPSS standard deviation standard normal Sum of Squares Suppose Table test statistic tion treatment means variance Venn diagram z-score