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IGNOU MPC-06 - Statistics in Psychology

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IGNOU MPC-06 Code Details

  • University IGNOU (Indira Gandhi National Open University)
  • Title Statistics in Psychology
  • Language(s)
  • Code MPC-06
  • Subject Psychology
  • Degree(s) MA
  • Course Core Courses (CC)

IGNOU MPC-06 English Topics Covered

Block 1 - Introduction to Statistics

  • Unit 1 - Parametric and Non-parametric Statistics
  • Unit 2 - Descriptive and Inferential Statistics
  • Unit 3 - Type I and Type II Errors
  • Unit 4 - Setting Up the Levels of Significance

Block 2 - Correlation and Regression

  • Unit 1 - Product Moment Coefficient of Correlation
  • Unit 2 - Other Types of Correlations (phi-coefficient)
  • Unit 3 - Partial and Multiple Correlations
  • Unit 4 - Bivariate and Multiple Regression

Block 3 - Normal Distribution

  • Unit 1 - Characteristics of Normal Distribution
  • Unit 2 - Significance of Mean Differences, Standard Error of the Mean
  • Unit 3 - One Way Analysis of Variance
  • Unit 4 - Two Way Analysis of Variance

Block 4 - Non-Parametric Statistics

  • Unit 1 - Rationale for Non-parametric Statistics
  • Unit 2 - Mann Whitney ‘U’ Test for Two Sample Test
  • Unit 3 - Kruskal Wallis Analysis of Variance
  • Unit 4 - Chi-Square and Kendall Rank Correlation
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IGNOU MPC-06 (July 2024 - January 2025) Assignment Questions

SECTION - A Answer the following question in about 1000 words (wherever applicable) each. 1. Explain the meaning of descriptive statistics and describe organization of data. 2. Compute ANOVA (parametric statistics) for the following data: that indicates the scores obtained by three group on employees on emotional intelligence scale: 3. Discuss divergence in normality with the help of suitable diagram and describe the factors causing divergence in the normal distribution. Discuss how divergence in normality is measured. SECTION - B Answer the following questions in about 400 words (wherever applicable) each. 4. Explain scales of measurement and discuss assumption of parametric statistics. 5. Using Pearson’s product moment correlation for the following data: 6. With the help of t test find if significant difference exists between the scores obtained on achievement motivation scale by male and female students. 7. Describe point-biserial correlation and phi coefficient. 8. Compute Chi-square for the following data: SECTION – C Answer the following in about 50 words each. 9. The sign test 10. Point estimation 11. Decision errors 12. Direction of correlation 13. Linear regression 14. Normal curve 15. Sampling and standard errors 16. Scatter plot 17. Goodness of fit 18. Kruskal – Wallis ANOVA test

IGNOU MPC-06 (July 2023 - January 2024) Assignment Questions

SECTION A Answer the following question in about 1000 words (wherever applicable) each 1. Describe the assumptions, advantages and disadvantages of non-parametric statistics. 2. Explain the concept of normal distribution. Explain divergence from normality. 3. The scores obtained by early, middle and late adolescents on adjustment scale are given below. Compute ANOVA for the same. SECTION B Answer the following questions in about 400 words (wherever applicable) each 4. Explain how the data can be organised using classification and tabulation 5. Using Pearson’s product moment correlation for the following data: 6. Describe biserial and tetrachoric correlations with the help of suitable examples. 7. Compute Mann Whitney U test for the following data: 8. Compute Chi-square for the following data: SECTION C Answer the following in about 50 words each 9. Measures of central tendency 10. Advantages and disadvantages of descriptive statistics 11. Type I and type II errors 12. Scatter diagram 13. Part correlation 14. Assumptions underlying regression 15. Standard error 16. Interactional effect 17. Comparison between Spearman’s rho and Kendall’s tau 18. Levels of measurement
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