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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 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

IGNOU MPC-06 (July 2022 - January 2023) Assignment Questions

SECTION A Answer the following question in about 1000 words (wherever applicable) 1. Explain the meaning of descriptive statistics and describe organisation of data. 2. Explain the concept of normal curve with help of a diagram. Explain the characteristics of normal probability curve. 3. The scores obtained by four groups of employees on occupational stress are given below. Compute ANOVA for the same. SECTION B Answer the following questions in about 400 words (wherever applicable) 4. Discuss the assumptions of parametric and nonparametric statistics. 5. Using Spearman’s rank order correlation for the following data: 6. Describe various levels of measurement with suitable examples. 7. Explain Kruskall- Wallis ANOVA test and compare it with ANOVA. 8. Compute Chi-square for the following data: SECTION C Answer the following in about 50 words each 9. Type I and type II errors. 10. Skewness and kurtosis. 11. Point and interval estimations. 12. Null hypothesis 13. Scatter diagram 14. Outliers 15. Biserial correlation 16. Variance 17. Interactional effect 18. Wilcoxon matched pair signed rank test.
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