Seeing Through Statistics
This second edition of Jessica Utts' 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.
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actually adults alternative hypothesis American answer asked aspirin average behavior bell-shaped biased categorical variables causal chance Chapter chi-squared statistic compared Component compute conclusion conducted confidence interval confounding variables Consumer correlation curve death decision determine diet difference discussed disease example exercise expected value experiment Explain explanatory variable Figure frequency graph heart attack higher hypothesis testing interpretation Journal male margin of error measure meta-analysis methods nicotine patches Notice null hypothesis observational study odds outcome outliers p-value participants percent percentage percentile personal probability picture placebo poll population mean problem question random sample randomly assigned rates relationship relative risk reported researchers response variable Rule for Sample sample means sample proportion scatter plot Simpson's Paradox smoking someone standard deviation standardized score statistically significant stemplot STEP Suppose survey Table tion weight loss women words