Hypothesis Testing — Previous Year Questions & Answers
Comprehensive answers to all previous year questions on Hypothesis Testing in MPC-006 Statistics in Psychology (20 papers, 2011–2024)
Comprehensive answers to all previous year questions on Hypothesis Testing in MPC-006 Statistics in Psychology (20 papers, 2011–2024)
Master inferential statistics: estimation, point and interval estimation, hypothesis testing, null and alternative hypotheses, significance levels, Type I and Type II errors, and statistical power.
Comprehensive introduction to the Kruskal-Wallis one-way ANOVA by ranks — the non-parametric alternative to one-way ANOVA for comparing three or more independent groups in psychology research.
Comprehensive answers to all previous year questions on Level of Significance in MPC-006 Statistics in Psychology (9 papers, 2011–2024)
Comprehensive guide to the Mann-Whitney U test — a non-parametric alternative to the independent samples t-test for ordinal or non-normal data in psychology research.
In-depth guide to null and alternative hypotheses, directional vs. non-directional predictions, Type I and Type II errors in hypothesis testing, and the scientific importance of hypothesis formulation in psychological research.
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 guide to non-parametric statistics: rationale, assumptions, levels of measurement, comparison with parametric tests, advantages, disadvantages, and when to use which test.
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.
Understand the core logic of hypothesis testing in psychology: the five-step process, null and research hypotheses, comparison distributions, cutoff scores, and Z-scores.
Comprehensive answers to all previous year questions on Type I and Type II Errors in MPC-006 Statistics in Psychology (13 papers, 2011–2024)
Complete guide to the Wilcoxon Matched-Pairs Signed-Ranks test — a non-parametric alternative to the dependent samples t-test for ordinal, paired, or non-normal data in psychology research.