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MPC-006: Statistics in Psychology

Course Overview​

This course covers statistical methods essential for psychological research, including descriptive statistics, inferential statistics, and data analysis techniques.

Course Structure​

Block 1: Parametric and Non-Parametric Statistics​

  • Parametric and Non-Parametric Statistics
  • Assumptions and Scales of Measurement
  • Parametric Tests (t-test, F-test, Pearson correlation)
  • Non-Parametric Tests (Chi-square, Mann-Whitney U)

Block 2: Probability & Distributions​

  • Probability Concepts
  • Normal Distribution
  • Sampling Distributions
  • Hypothesis Testing Basics

Block 3: Inferential Statistics​

  • t-Tests
  • Analysis of Variance (ANOVA)
  • Correlation
  • Regression Analysis

Block 4: Advanced Topics​

  • Chi-Square Tests
  • Non-Parametric Tests
  • Factor Analysis
  • Using Statistical Software

Learning Objectives​

By the end of this course, you will be able to:

  • 🎯 Apply appropriate statistical techniques to psychological data
  • 🎯 Interpret statistical results correctly
  • 🎯 Use statistical software for data analysis
  • 🎯 Report statistical findings properly

Assessment Pattern​

  • Theory: 70 marks
  • Assignment: 30 marks
  • Total: 100 marks