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Psychological statistics can be a formidable challenge, often acting as the greatest barrier between students and their research goals. This essential guide is meticulously designed to dissolve that barrier, providing a comprehensive, step-by-step roadmap for mastering the quantitative heart of psychological science.
FORMULAE IN PSYCHOLOGICAL STATISTICS moves beyond dry theory by integrating fundamental concepts with immediate, practical application. It is the indispensable companion for every student preparing for examinations, conducting research, or navigating the complex world of psychometric data analysis.
What You Will Master:
Theories Simplified: Clear and concise explanations of core statistical concepts, including Central Tendencies, Variance, Hypothesis Testing, and Parametric vs. Non-Parametric approaches.
Formulae at Your Fingertips: A curated collection of every necessary formula for calculating correlation coefficients, test-scores, regression lines, $t$-tests, ANOVA, and more.
List of Theorems:
1) Central Limit Theorem
2) Hypothesis
3) Level of Significance
4) Parametric
A) t-test for small samples (n<30)
B) ANOVA (Analysis of Variance)
C) Pearson’s Coefficient of Correlation
D) Z-test for large Samples (n>30)
E) F-test
F) R-test
5) Non-Parametric
G) Chi-Square
H) Spearman’s Rank difference method of Correlation
I) Kendall’s Rank Difference Method and
J) Mann-Whitney U-test.
K) Karl Pearson’s Coefficient of Correlation
L) Kendall’s Tau correlation method
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Suripeddi Koundinya
Suripeddi Koundinya is a prolific educator, author, and literary steward whose works span psychology, data analytics, astrology, and biotechnology. With over 25 published titles, he brings clarity, rigor, and spiritual depth to every page.
