Moreover, in many real-life data examples, the sample size are slightly higher than 30, but not large enough where using the normal distribution provides precision (instead of using the t-distribution).
STATBOOK COLLEGE SOFTWARE
Also, the pooled variance is used for the testing hypothesis for the difference in means, which doesn't match the results that one can obtain using a statistical software (R), where the unpooled variance is used, and the degrees of freedom for the t-curve is not the typical approximation (sum of the sample sizes minus 2). Therefore, the inferential statistics portion of the textbook relies heavily on the use of tables and on the rejection regions instead of the p-value. The textbook is suited for a statistics course for a general audience and without statistical software (like R). I am using this textbook as a second resource for an applied and computational statistics course (mainly for life sciences) with the use of technology (R).
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The text covers all material needed for an introduction and intermediate statistics course: starting with descriptive statistics, then the elements of probability theory needed for statistics, and finishing with a large portion dedicated to inferential statistics, where all topics of hypothesis testing and regression are covered.
Reviewed by Nabil Kahouadji, Associate Professor of Mathematics, Northeastern Illinois University on 4/30/23
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