Most Important Topics for IGNOU MAPC MPC-006 (Statistics in Psychology) | Exam-Focused Guide
- priyankabedi10
- Apr 29
- 2 min read
If you're preparing for IGNOU MAPC Term-End Exams for MPC-006: Statistics in Psychology, this guide will simplify your preparation.
I’ve reviewed both the syllabus and past year question papers (2020 to 2024) to create a focused list of high-yield topics, organized for smart revision!
This list is divided into Long Answers (10 marks), Medium Answers (6 marks), and Short Notes (3 marks).
🔥 Important Topics for MPC-006 (Statistics in Psychology)
🔹 High-Frequency Long Answer Topics (10 Marks)
Parametric vs Non-Parametric Statistics
Definitions, Assumptions, Advantages and Disadvantages
Normal Distribution
Concept, Characteristics, Applications, Divergence from Normality
Research Errors
Type I and Type II Errors, Decision Errors
Measures of Central Tendency and Dispersion
Mean, Median, Mode, Standard Deviation, Range
Pearson’s Product Moment Correlation
Computation Steps and Interpretation
Spearman’s Rho and Kendall’s Tau
Applications, Computations
Point Biserial and Phi Coefficient
Computations and Differences
One-Way ANOVA
Concept, Steps, Interpretation
Two-Way ANOVA
Merits, Demerits, and Interactional Effect
Chi-Square Test
Concept, Computation Steps
Mann-Whitney U Test
Concept, Computation, Application
Regression Analysis
Linear and Multiple Regression, Steps of Computation
🔹 Medium Answer Topics (6 Marks)
Characteristics of Normal Probability Curve
Steps in Hypothesis Testing
Levels of Measurement (Nominal, Ordinal, Interval, Ratio)
Correlational Designs and Application
Biserial and Tetrachoric Correlation
Applications of Kruskal-Wallis Test
Standard Error: Importance and Calculation
Outliers and Curvilinearity in Regression
Comparison of Pearson’s r and Kendall’s Tau
Importance of Point and Interval Estimation
🔹 Short Notes Topics (3 Marks)
Sampling Error
Linear vs Non-Linear Relationship
Frequency Distribution (Grouped and Ungrouped)
Interactional Effect
Standard Error
Scatter Plot
Kruskal-Wallis ANOVA
Wilcoxon Matched Pair Signed Rank Test
Nominal Data
Decision Errors
Assumptions Underlying ANOVA
Measures of Variability
🧠 Super Important Topics (High Exam Frequency)
Concept | Focus Area |
Parametric and Non-Parametric Statistics | Differences, Uses |
Normal Curve | Characteristics, Divergence |
Central Tendency and Dispersion | Types, Importance |
Correlation and Regression | Types and Applications |
Hypothesis Testing | Steps and Errors |
ANOVA (One-Way, Two-Way) | Applications and Calculations |
Non-Parametric Tests | Chi-Square, Mann-Whitney, Kruskal-Wallis |
Focusing on these critical topics can help you cover 85-90% of the MPC-006 exam smartly.
Make sure you practice computation-based questions (like ANOVA, Chi-Square, Correlation) and understand concepts like normality, errors, and test assumptions thoroughly.
Consistency + Smart Work = High Scores! 🚀
Good luck with your IGNOU MAPC journey! 🍀
Tags: IGNOU MAPC Statistics Important Topics, IGNOU MPC-006 Preparation, Statistics in Psychology Exam Guide, MAPC 1st Year Term End Tips, IGNOU Psychology Statistics Study Notes
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