Click Here to Purchase Solved Assignment for STATISTICS See the Sample of Statistics Solved Assignment HERE Click Here to download the PDF of Assig
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See the Sample of Statistics Solved Assignment HERE
Click Here to download the PDF of Assignment Motivator of All 1st Yr MAPC Subjects
STATISTICS IN PSYCHOLOGY (MPC-006)
TUTOR MARKED ASSIGNMENT
(TMA)
Course Code: MPC-006
Assignment Code: MPC-006/AST/TMA/2019-20
Marks: 100
NOTE: All Questions Are Compulsory
SECTION – A
Answer the following question in about 1000 words (wherever applicable) each. 15×3=45 Marks
1. Discuss in detail organization of data.
2. Compute ANOVA for the following data: that indicates the scores obtained by three group on employees on Job Satisfaction scale:
Group A – 56 66 55 66 45 34 33 23 34 33
Group B – 23 34 33 44 55 76 43 35 57 34
Group C – 34 56 54 33 56 34 23 24 26 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 in about 400 words (wherever applicable) each. 5×5=25 Marks
4. Explain scales of measurement and discuss assumption of parametric statistics.
5. Using Spearman’s rho for the following data:
Data 1 – 45 44 34 36 33 31 56 54 39 33
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 Emotional Intelligence by male and female teachers.
Scores on Emotional Intelligence Scale
Male teachers – 45, 32, 25, 57, 36, 42, 35, 55, 66, 65, 30, 35, 22, 27, 26
Female teachers – 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 Average Low
Junior Managers 10 15 15
Senior Managers 10 10 10
SECTION – C
Answer the following in about 50 words each 10×3=30 Marks
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
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