Seeing Through Statistics
This second edition of Jessica Utt's popular book develops statistical literacy and critical thinking through real-world applications, with an emphasis on ideas, not calculations. Utts focuses on two central concepts--uncertainty and data. Ideas are introduced in interesting applied and real contexts, without using an abundance of technicalities and calculations which only serve to confuse students. The book's 26 compact chapters allow for a variety of coverage and cohesive lectures.
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FINDINQ DATA IN LIFE
Reading the News
Measurements Mistakes and Misunderstandings
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actually adults alternative hypothesis answer asked aspirin average bell-shaped biased breast cancer categorical variables causal chance Chapter chi-squared statistic compared Component compute conclusion conducted confidence interval confounding variables Consumer correlation death determine difference discussed disease drug effect example exercise expected value experiment Explain explanatory variable Figure five-number summary given graph heart attack higher hypothesis testing interpretation Journal male margin of error meta-analysis methods nicotine patch Notice null hypothesis observational study odds outcome outliers p-value participants percent percentage percentile personal probability picture placebo poll population mean Price Index problem random sample randomly assigned rates relationship relative risk reported represent researchers respondents response variable Rule for Sample sample means sample proportion scatterplot Simpson's Paradox smoking someone standard deviation standardized score statistically significant stemplot Step Suppose survey Table tion type 2 error weight loss women words