Book

introduction to applied statistics for psychology students

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What this book knows

Statistical reasoning for psychology demands understanding distributions, inference, and correlation as tools for testing claims about human behavior.

Sex: Absent
Work: Absent
Learning: Primary
Religion: Absent

mind-and-cognitioneducation-and-formation

mind-and-cognition

Transform your data into a test statistic; if it falls in the rejection region, reject the null hypothesis.
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Finding correlations by themselves doesn't prove anything — correlation does not imply causation.
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ANOVA compares two variances: within-group noise versus between-group signal of differing sample means.
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education-and-formation

The central limit theorem: repeated sampling of any population yields sample means that form a normal distribution.
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All test statistics have the same general form — memorizing complicated formulae is useless; remember the basic structure.
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Variables with different units but measuring the same construct can be combined after z-score standardization.
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Illuminates

6 published passages · book excerpt · research analysis

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