Detailed coverage of the assumptions underlying parametric and non-parametric statistics, the four scales of measurement, and their implications for choosing appropriate statistical tests.
Comprehensive answers to all previous year questions on Biserial and Tetrachoric Correlation in MPC-006 Statistics in Psychology (9 papers, 2011–2024)
Understand Biserial and Tetrachoric Correlation — non-Pearson methods used when dichotomous variables have an underlying continuous distribution. Learn when to use them and how they differ from Point Biserial and Phi.
Master bivariate (simple linear) regression — computing slope (b) and intercept (a) using Ordinary Least Squares, constructing the regression equation, and generating predicted values for psychological data.
Comprehensive answers to all previous year questions on Chi-Square Test in MPC-006 Statistics in Psychology (22 papers, 2011–2024)
Understand the concept of correlation in psychology — its meaning, direction (positive/negative/zero), strength, graphical scatter diagrams, and the distinction between linear and curvilinear relationships.
Comprehensive answers to all previous year questions on Data Organisation and Frequency Distribution in MPC-006 Statistics in Psychology (12 papers, 2011–2024)
Comprehensive answers to all previous year questions on Central Tendency and Dispersion in MPC-006 Statistics in Psychology (12 papers, 2011–2024)
Comprehensive answers to all previous year questions on Divergence from Normality in MPC-006 Statistics in Psychology (16 papers, 2011–2024)
Learn how to estimate population parameters using confidence intervals (fiduciary limits), and determine optimal sample size using standard error of the mean.
Comprehensive answers to all previous year questions on Hypothesis Testing in MPC-006 Statistics in Psychology (20 papers, 2011–2024)
Understand the fundamentals of simple linear regression — the regression line, regression equation, slope and intercept, least squares criterion, and how regression relates to correlation in psychological research.
Comprehensive answers to all previous year questions on Kendall's Tau Correlation in MPC-006 Statistics in Psychology (12 papers, 2011–2024)
Comprehensive answers to all previous year questions on Kruskal-Wallis ANOVA in MPC-006 Statistics in Psychology (9 papers, 2011–2024)
Comprehensive answers to all previous year questions on Level of Significance in MPC-006 Statistics in Psychology (9 papers, 2011–2024)
Comprehensive answers to all previous year questions on Levels of Measurement in MPC-006 Statistics in Psychology (12 papers, 2011–2024)
Comprehensive answers to all previous year questions on Linear and Non-linear Relationship in MPC-006 Statistics in Psychology (7 papers, 2011–2024)
Comprehensive answers to all previous year questions on Mann-Whitney U Test in MPC-006 Statistics in Psychology (20 papers, 2011–2024)
Comprehensive answers to all previous year questions on Multiple Regression and Multiple Correlation in MPC-006 Statistics in Psychology (8 papers, 2011–2024)
Comprehensive answers to all previous year questions on Normal Distribution and Normal Probability Curve in MPC-006 (22 papers, 2011–2024)
Comprehensive guide to the normal distribution concept, properties of the Normal Probability Curve (NPC), theoretical foundations, and its significance in psychological measurement.
How to use the Table of Areas under the Normal Probability Curve, convert raw scores to z-scores, and read NPC table values for psychological and educational applications.
Comprehensive guide to One-Way ANOVA: the F-ratio, between/within group variance, assumptions, worked examples with post-hoc t-tests, and applications in psychology research.
Comprehensive answers to all previous year questions on One-Way ANOVA in MPC-006 Statistics in Psychology (22 papers, 2011–2024)
Understand the distinction between parameters and statistics, explore sampling error vs standard error, and learn the t-ratio distribution in psychological research.
A comprehensive introduction to parametric and non-parametric statistics—their definitions, key differences, and when each approach is appropriate in psychological research.
Comprehensive answers to all previous year questions on Parametric vs Non-parametric Statistics in MPC-006 (27 papers, 2011–2024)
Comprehensive answers to all previous year questions on Partial and Part Correlation in MPC-006 Statistics in Psychology (11 papers, 2011–2024)
Understand partial correlation — how to remove the statistical influence of a third variable from a bivariate relationship to reveal the true association between two variables.
Comprehensive answers to all previous year questions on Pearson's Product Moment Correlation in MPC-006 Statistics in Psychology (12 papers, 2011–2024)
Master the computation of Pearson's Product Moment Correlation Coefficient using deviation score and raw score methods, and learn how to test its statistical significance using t-distribution and critical values.
Comprehensive answers to all previous year questions on Point and Interval Estimation in MPC-006 Statistics in Psychology (7 papers, 2011–2024)
Comprehensive answers to all previous year questions on Point Biserial and Phi Coefficient in MPC-006 Statistics in Psychology (11 papers, 2011–2024)
Master Spearman's Rank Order Correlation (rho) and Kendall's Tau — nonparametric alternatives to Pearson's r for ordinal data, rank data, and situations where Pearson's assumptions are violated.
Comprehensive guide to non-parametric statistics: rationale, assumptions, levels of measurement, comparison with parametric tests, advantages, disadvantages, and when to use which test.
Comprehensive answers to all previous year questions on Regression Analysis in MPC-006 Statistics in Psychology (18 papers, 2011–2024)
Learn how to test whether a regression slope is statistically significant using the F-test, evaluate prediction accuracy with r², standard error of estimate, and PIP, and understand the key assumptions underlying linear regression.
Master semipartial (part) correlation — controlling a third variable from only one predictor — and Multiple Correlation Coefficient (R), the cornerstone of multiple regression analysis in psychology.
Comprehensive answers to all previous year questions on Skewness and Kurtosis in MPC-006 Statistics in Psychology (7 papers, 2011–2024)
Understanding divergence from normality in psychological data — types of skewness and kurtosis, their causes, measurement formulas, and implications for test construction and research in India.
Comprehensive answers to all previous year questions on Spearman's Rank Correlation in MPC-006 Statistics in Psychology (19 papers, 2011–2024)
Learn when and how to use Point Biserial Correlation and Phi Coefficient — Pearson-based methods for correlating dichotomous variables with continuous or other dichotomous variables.
Comprehensive answers to all previous year questions on Standard Error in MPC-006 Statistics in Psychology (12 papers, 2011–2024)
Master standardised regression coefficients (beta weights), the multiple regression equation with two or more predictors, ANOVA table for multiple regression, and the hierarchical vs. simultaneous entry methods.
Comprehensive answers to all previous year questions on t-Test in MPC-006 Statistics in Psychology (10 papers, 2011–2024)
Apply t-tests to small independent and correlated samples, understand Type I and Type II errors, and follow the step-by-step process for significance testing in psychological research.
Master the theory and formulas for testing whether two sample means differ significantly — covering null hypothesis, critical ratio, levels of significance, and one- vs two-tailed tests.
Comprehensive guide to Two-Way ANOVA: main effects, interaction effects, factorial designs, worked examples with 2×2 designs, graphical interpretation, and psychology applications.
Comprehensive answers to all previous year questions on Two-Way ANOVA in MPC-006 Statistics in Psychology (14 papers, 2011–2024)
Comprehensive answers to all previous year questions on Type I and Type II Errors in MPC-006 Statistics in Psychology (13 papers, 2011–2024)
Comprehensive answers to all previous year questions on Wilcoxon Matched Pair Signed Rank Test in MPC-006 Statistics in Psychology (8 papers, 2011–2024)