Showcasing a discussion of the experimental process and a review of
basic statistics, this volume provides methodologies to identify
general data distribution, skewness, and outliers. It features a
unique classification of the nonparametric analogs of their
parametric counterparts according to the strength of the collected
data. Applied Statistical Designs for the Researcher discusses
three varieties of the Student t test, including a comparison of
two different groups with different variances; two groups with the
same variance; and a matched, paired group. It introduces the
analysis of variance and Latin Square designs and presents
screening approaches to comparing two factors and their
interactions.
General
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