High Priority Topics — MPC-006 Statistics in Psychology
🔴 Very High Priority Topics (8 topics — core of every paper)
| # | Topic | Papers | Key Questions | Status |
|---|---|---|---|---|
| 1 | Parametric vs Non-parametric Statistics | 27/27 (100%) | Assumptions, advantages, disadvantages of each | [ ] |
| 2 | One-Way ANOVA | 22/27 (81.5%) | Full computation: SS, df, MS, F-ratio, critical F | [ ] |
| 3 | Chi-Square Test | 22/27 (81.5%) | Computation, goodness of fit, test of independence | [ ] |
| 4 | Normal Distribution & NPC | 22/27 (81.5%) | Properties, characteristics, applications, diagram | [ ] |
| 5 | Hypothesis Testing | 20/27 (74.1%) | Steps, null vs alternative, one-tailed vs two-tailed | [ ] |
| 6 | Mann-Whitney U Test | 20/27 (74.1%) | Full computation: rank, U1, U2, critical U | [ ] |
| 7 | Spearman's Rank Correlation | 19/27 (70.4%) | Computation of rho using rank differences | [ ] |
| 8 | Regression Analysis | 18/27 (66.7%) | Regression equations Y on X and X on Y | [ ] |
🟠 High Priority Topics (14 topics)
| # | Topic | Papers | Key Questions | Status |
|---|---|---|---|---|
| 9 | Divergence from Normality | 16/27 (59.3%) | Skewness, kurtosis, factors causing divergence, diagrams | [ ] |
| 10 | Two-Way ANOVA | 14/27 (51.9%) | Interactional effect, merits and demerits | [ ] |
| 11 | Type I & Type II Errors | 13/27 (48.1%) | Definitions, examples, decision matrix | [ ] |
| 12 | Kendall's Tau Correlation | 12/27 (44.4%) | Computation procedure, when to use | [ ] |
| 13 | Levels of Measurement | 12/27 (44.4%) | Nominal, ordinal, interval, ratio with examples | [ ] |
| 14 | Pearson's Product Moment Correlation | 12/27 (44.4%) | Computation, interpretation, characteristics | [ ] |
| 15 | Standard Error | 12/27 (44.4%) | SE of mean, importance, application | [ ] |
| 16 | Central Tendency & Dispersion | 12/27 (44.4%) | Mean/median/mode; SD, variance, range | [ ] |
| 17 | Data Organisation & Frequency Distribution | 12/27 (44.4%) | Grouped/ungrouped, graphical presentation | [ ] |
| 18 | Point Biserial & Phi Coefficient | 11/27 (40.7%) | Definitions, computation steps, when to use | [ ] |
| 19 | Partial & Part Correlation | 11/27 (40.7%) | Distinction, purpose, examples | [ ] |
| 20 | t-Test | 10/27 (37.0%) | Computation, independent vs paired | [ ] |
| 21 | Biserial & Tetrachoric Correlation | 9/27 (33.3%) | Definitions, when to use, dichotomous variables | [ ] |
| 22 | Kruskal-Wallis ANOVA | 9/27 (33.3%) | Step-by-step procedure, when to use | [ ] |
🎯 Study Plan
Week 1: Computation Core (Section A)
- One-Way ANOVA — full computation procedure (SS total, SS between, SS within, F-ratio)
- Spearman's Rho — rank difference method
- Regression equations — Y on X and X on Y
- Pearson's r — computation formula
Week 2: Conceptual Core (Section A & B)
- Parametric vs Non-parametric — assumptions, advantages, disadvantages (most important)
- Normal Probability Curve — properties, diagram, applications
- Hypothesis Testing — steps, null/alternative, significance levels, one/two-tailed
- Divergence from Normality — skewness and kurtosis with diagrams
Week 3: Section B Computation
- Mann-Whitney U — full computation (rank, U1, U2, decision)
- Chi-square — computation (O-E table, Yates' correction)
- Kendall's Tau — computation procedure
- Two-way ANOVA / Interactional Effect
Week 4: Section B Conceptual + Section C
- Levels of Measurement
- Standard Error
- Central Tendency & Dispersion
- Point Biserial & Phi Coefficient
- Type I & Type II Errors
- Partial & Part Correlation
- Short notes: Level of significance, Degrees of freedom, Kurtosis
Week 5: Remaining + Revision
- t-Test computation
- Biserial & Tetrachoric Correlation
- Kruskal-Wallis ANOVA
- Wilcoxon Signed Rank Test
- Multiple Regression & Correlation
- Full revision — practice Section A + B + C together
✅ Progress Tracking
Very High Priority Completed: 0/8
High Priority Completed: 0/14
Progress: 0%