Summary
Contents
Subject index
KEY FEATURES: • Coverage of traditional concepts in statistics includes expected value operators, likelihood functions, maximum likelihood estimation, and least squares estimation, preparing students for concepts they will continue to encounter in more advanced material. • Real research on specific antisocial behaviors provides consistent context for answering research questions in an interesting and intuitive way. • Discussion of statistical inference in an easy-to-understand manner ensures that students have the foundation they need to avoid misusing hypothesis tests. • A detailed presentation of resampling methods and randomization tests for experiments and correlation provides a better way to analyze data when the assumptions of the classical tests are not met. • A number of current techniques for data analysis not included in other textbooks are introduced, including quantile plots, quantile-quantile plots, normal quantile plots, analysis of residuals in scatter plots, bootstrap methods, robust estimators, robust regression, and the use of randomization (permutation) tests for experiments and correlation.
Resistant Estimators of Parameters
Resistant Estimators of Parameters
In addition to having his participants complete a number of scales, such as the Vengeance Scale described in the last chapter, Barlett (2015) asked them a number of questions about their use of the Internet for texting, email, and Facebook. The data from the 122 participants (undergraduate students in an introductory psychology course, aged 17–24 years) who responded to the questions about how often they texted others and received texts during various time periods (6 a.m. to 12 p.m., 12 p.m. to 6 p.m., 6 p.m. to 12 a.m., and 12 a.m. to 6 a.m.) during the week and on weekends are summarized in Figure 5.1 as a quantile plot, a stem-and-leaf display, and a schematic box plot. The scores ...
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