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
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.