MPC-006 : Statistics In Psychology IGNOU Solved Assignments 2024-25

Description

MPC-006 : Statistics In Psychology

Course Code: MPC-006

Assignment Code: MPC-006/AST/TMA/2024-25

NOTE: All Questions Are Compulsory

Section – A

Answer the following question

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:

Group A       34       32       23       66       44       44       33       23       43       33 Group B            26       34            23       13       34       76       43       35       57       34

Group C       28       56       54       33       56       54       23       25       54       34

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

4.Explain scales of measurement and discuss assumption of parametric statistics.

5.Using Pearson’s product moment correlation for the following data:

Data 1          24       23       26       25       25       21       25       26       25       26

Data 2          12       15       22       13       14       11       16       10       19       20

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.

Scores on Achievement Motivation Scale

Male students      45, 32, 25, 57, 36, 42, 35, 55, 66, 65, 30, 35, 22, 27, 26

Female students 36, 53, 64, 55, 52, 34, 62, 73, 61, 34, 45, 38, 36, 25, 45

7.Describe point-biserial correlation and phi coefficient.

8.Compute Chi-square for the following data:

Job Position          Work Motivation Scores

High  Low

 

Junior Managers    10          15

Senior Managers               10       10

Section – C

Answer the following

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