1st Year · Past Paper Analysis
MPC-006: Statistics in Psychology
MPC-006: Statistics in Psychology. Topic-wise repeat-frequency analysis across 17 official IGNOU papers from 2015–2024, ranked by how often each topic has appeared.
10-Mark Questions
Answer any 2 of 4 · ~450 words · 2×10=20 marks
6× repeated
- Jun '24Discuss the assumptions of parametric and nonparametric statistics.
- Jun '23Elucidate parametric and non-parametric statistics. Describe the assumptions of parametric statistics.
- Jun '20Define parametric statistics and describe its assumptions, advantages and disadvantages.
4× repeated
- Dec '17A research was carried out to find if significant 10 difference exists in motivation of three groups of employees after they received three different training programmes. Compute ANOVA for the data given below : Group A (Training 1) : 2, 3, 2, 3, 5 Group B (Training 2) : 5, 5, 5, 10, 10 Group C (Training 3) : 10, 10, 2, 3, 5 Critical value : 0.05 level of significance = 19.41 0.01 level of significance = 99.46
- Jun '17A research was carried out to find the 10 effectiveness of three techniques of stress management. The data collected from three different groups on stress scale are given below. Find out using ANOVA if the obtained differences are significant. Group A (Technique 1) : 2, 4, 5, 6, 7 Group B (Technique 2) : 3, 2, 3, 2, 4 Group C (Technique 3) : 3, 6, 2, 4, 7 Critical Value : 0.05 level of significance = 19.41 0.01 level of significance = 99.46
- Dec '15Explain the term variance. A research was carried out to study the effectiveness of three different methods in enhancing mathematical performance of students. The data based on the performance test is given below. Find out if significant difference exists in the performance of the students with the help of ANOVA. 3+7 Group A Group B Group C (Method 1) (Method 2) (Method 3) 6 12 10 10 9 7 9 12 8 7 13 6 10 11 5 8 10 7 11 15 9 11 18 13 10 8 11 12 14 8 Critical value = 0.01, level of significance = 5.49. M PC-006
4× repeated
- Jun '24Compute Chi-square for the following data : 10 Responses Categories Never Rarely Sometimes Always Group A 10 12 8 10 Group B 6 4 7 3 Group C 11 9 4 6 Group D 7 3 4
- Dec '23Compute Spearman’s rho for the following data : 10 Data A Data B 15 20 16 17 11 4 13 12 18 5 10 11 12 10 6 8 7 2 2 3
- Dec '16Compute regression equation for X and Y based 10 on the data given below : Individuals X Y A 2 10 B 7 12 C 8 3 D 3 10 E 5 10
4× repeated
- Jun '24Compute ANOVA for the following data : 10 Group A 6 7 3 4 2 4 6 7 8 1 Group B 4 7 3 4 7 3 2 7 4 2 Group C 3 6 2 6 8 6 3 9 6 3 Critical value : 3.35 at 0.05 level 5.49 at 0.01 level
- Dec '23Compute one-way ANOVA for the following data : 10 Group A Group B Group C 7 2 3 8 4 4 6 7 2 2 8 2 4 6 3 5 4 4 7 7 4 8 8 5 9 9 7 10 10 2 Critical values : 3.35 at 0.05 level of significance 5.49 at 0.01 level of significance
- Jun '23Compute one way ANOVA for the following data : 10 Group A Group B Group C 4 6 10 6 7 11 7 10 12 9 12 13 2 13 14 4 14 15 7 15 17 8 17 10 9 18 2 2 3 4 Critical value for F = 3.35 at 0.05 level of significance. Critical value for F = 5.49 at 0.01 level of significane.
3× repeated
- Jun '24Explain the concept of normal curve with the help of a diagram. Describe the characteristics of normal probability curve.
- Jun '18Explain the concept and theoretical base of normal 4+6 curve. Elucidate the properties of normal probability curve.
- Dec '16Discuss the concept of Normal Curve. Describe 3+7 properties of Normal Probability Curve.
2× repeated
- Dec '18Differentiate inferential from descriptive statistics. 4+6 Describe steps in setting up the level of significance.
- Dec '15What is hypothesis testing ? Discuss the steps involved in setting up the level of significance with suitable examples.
2× repeated
- Dec '15Define Correlation. Find out if relationship exists between the two data given below with the help of Spearman's Rank coefficient of correlation : 2+8 Data 1 : 20, 31, 42, 60, 51, 77, 62, 45, 50, 59 Data 2 : 21, 34, 39, 59, 53, 79, 61, 47, 48, 58 M PC-006 1
- Jun '15Define Correlation and Regression. Find out if a relationship exists between the two groups of data given below with the help of Spearman's Rank coefficient of correlation. 3+7=10 Data 1 : 11, 10, 7, 9, 5, 8, 3, 6, 12, 13 Data 2 : 4, 3, 2, 20, 13, 12, 11, 10, 6, 5
2× repeated
- Dec '16A research was carried out to find if significant 10 difference exists in the self concept of early, middle and late adolescents. The scores obtained on self concept are given below. Using ANOVA indicate if the groups differ on self concept significantly.
- Jun '16A research was carried out to find if significant 10 difference exists in Achievement Motivation Scores obtained by three groups. Using ANOVA, find out if there exists difference in the 3 groups.
2× repeated
- Jun '19Discuss Spearman's rank-order correlation with suitable example. [1 0]
- Dec '17Discuss multiple coretlation. Explain partial correlation with suitable example.
2× repeated
- Dec '18Explain partial correlation. Compute Spearman's 3+7 Rho for the following data : Data : A 60 54 59 44 49 48 40 Data : B 55 60 69 70 67 66
- Jun '18Define outliers. Compute only Spearman's Rho 2+8 for the following data : Data A 5.0 5.9 6.0 5.7 5.6 5.5 4.9 3.6 4.0 Data B 53 50 49 55 63 60 64 69 70
2× repeated
- Dec '21Discuss the applications of normal distribution I 10 10 curve. Describe divergence from normality with J 10 10
- Jun '16Describe divergence of normality with suitable 10 diagrams. Explain the factors causing divergence in normal curve.
2× repeated
- Dec '23Elucidate partial and part correlation (semi- partial correlation) with the help of suitable examples.
- Jun '23Explain point biserial correlation and phi- coefficient with suitable examples.
6-Mark Questions
Answer any 4 of 5 · ~250 words · 4×6=24 marks
6× repeated
- Jun '24Explain the concept, merits and demerits of two- way ANOVA.
- Jun '23Explain the concept of interactional effect. Discuss merits and demerits of two way ANOVA.
- Jun '21Elucidate interactional effect. Discuss the merits and demerits of two-way ANOVA.
4× repeated
- Dec '17Compute Mann - Whitney U test with the help of 6 the following data : Data 1 : 13, 16, 40, 47, 56, 70 Data 2 : 34, 12, 25, 39,
- Dec '16Calculate Mann-Whitney U-test with the help of 6 the following data : Group 1 : 40, 17, 46, 51, 45 Group 2 : 12, 18, 20, 15,
- Jun '16Calculate Mann - Whitney U - test with the help 6 of the following data : Group 1 : 38, 64, 66, 70, 46 Group 2 : 45, 65, 71, 62, 70, 43
4× repeated
- Dec '23Describe divergence in normality with the help of suitable diagrams.
- Dec '19Explain divergence in normality with the help of suitable diagrams.
- Dec '15Explain divergence in normality with the help of a suitable diagram.
4× repeated
- Dec '23Describe the levels of measurement with suitable examples.
- Jun '21Describe the levels of measurement with suitable examples.
- Jun '18Describe various levels of measurement with 6 suitable examples.
3× repeated
- Jun '24Compute Spearman’s rho for the following data : 6 Data A 16 17 4 6 7 5 10 2 3 Data B 18 19 21 4 7 8 9 6
- Dec '23Compute Mann-Whitney U-test for the following data : 6 Group A Group B 20 31 13 10 14 9 16 7 18 6 21 3 30 25
- Jun '23Compute Mann-Whitney U test for the following data : 6 Group A Group B 21 12 30 16 26 17 32 19 41 20 35 24 15
3× repeated
- Dec '17Compute Kendall's tau for the following data : 6 ABC DEF X 2 7 1 5 8 10 Y 4 5 6 8 10
- Jun '17Compute Kendall's tau for the following data : 6 A • BCD E X 4 7 8 9 3 Y 3 4 7 8
- Dec '15Compute the regression equation with the help of the following data : X : 7, 6, 10, 7, 10 Y : 9, 7, 10, 4,
3× repeated
- Jun '23Compute Chi-square for the following data : 6 Responses Gender Yes No Male 15 5 Female 10 10
- Dec '19Compute chi-square for the following data : Agree Disagree Males 12 14 Females 13
- Dec '16Compute Chi-square for the following data : 6 Answers given Gender Correct Incorrect Males 50 60 Females 40
3× repeated
- Jun '20Compute Mann Whitney U for the following data: Group 1 : 23, 21, 7, 14, 10, 13, 25, 29, 48, 55 Group 2 : 20, 8, 15, 9, 45, 12, 40, 47, 50, 51 '
- Dec '19Compute Mann Whitney U test for the following data [E Group 1: 19 25 17 27 30 16 44\ 50 70 r Group 2 : 12 36 10 37 13 46 57 63
- Jun '17Compute Mann Whitney U test for the following - 6 data : Data 1 : 10, 24, 14, 15, 30, 17, 29 Data 2 : 20, 12, 16, 18, 36, 38,
3× repeated
- Jun '24Explain the measures of central tendency and measures of dispersion.
- Dec '21Describe the measures of central tendency and measures of dispersion.
- Jun '15Describe the measures of central tendency with hypothetical data.
3× repeated
- Dec '23Compute Chi-square for the following data : 6 Responses Agree Undecided Disagree Junior Managers 10 15 5 Senior Managers 10 5
- Jun '21Compute Chi-square for the following data : 6 Responses Yes No Male 20 15 Female 20
- Jun '19Compute Chi-square for the following data : Opinion Agree Undecided Disagree Male 10 13 11 Female 15 12
2× repeated
- Dec '16Compute Spearman's Rank Correlation for the following data : Data 1 : 44, 45, 45, 34, 43, 23, 54, 34, 67, 45 Data 2 : 12, 21, 32, 12, 12, 15, 26, 12, 16,
- Jun '16Compute Spearman's Rank correlation for the 6 following data : Data 1 : 34, 45, 54, 34, 23, 43, 45, 45, 43, 45 Data 2 : 43, 45, 54, 34, 34, 43, 43, 23, 34,
2× repeated
- Jun '19Explain hypothesis testing. Describe errors in hypothesis testing. [3+3=6]
- Dec '17Explain null hypothesis with an example. Discuss 3+3 errors in hypothesis testing.
2× repeated
- Dec '18Compute Chi square for the following data : 6 responses Agree Disagree Not decided Male 20 10 20 Female 10 20 30 Critical value : 5.991 at 0.05 level of significance 9.210 at 0.01 level of significance
- Jun '18Compute chi square for the following data : 6 Responses Agree Disagree Total Male 20 30 50 Female 30 70 100 Total 50 100 150 Critical value : 3.841 at 0.05 level of significance 6.635 at 0.01 level of significance
2× repeated
- Jun '23Explain the characteristics of normal probability curve.
- Jun '17Describe the properties of Normal Probability 6 Curve.
3-Mark Short Notes
Write short notes on any 2 · ~100 words · 2×3=6 marks
4× repeated
- Dec '23Linear regression
- Dec '18Linear regression.
- Dec '15Linear Relationship
3× repeated
- Jun '24Level of significance
- Dec '16Levels of measurement
- Dec '15Levels of Significance
3× repeated
- Jun '23Wilcoxon matched pair signed rank test. 3 MPC–006
- Dec '16Wilcoxon Matched Pair Signed Ranks Test 3
- Jun '16Wilcoxon Matched Pair Signed Rank Test
3× repeated
- Jun '24Standard error 3 MPC–006
- Dec '23Scatter plot 3 MPC–006
- Jun '16Multiple Correlation 3
2× repeated
- Jun '24Kruskal-Wallis ANOVA test
- Dec '16Kruskal-Walli's ANOVA Test
2× repeated
- Jun '19Factors causing divergence in normal curve.
- Dec '17Measuring divergence from normal curve.
2× repeated
- Jun '20Assumptions underlying the Analysis of Variance.
- Dec '18Two ways Analysis of Variance.
2× repeated
- Dec '21Interactional Effect
- Jun '17Interactional effect 3
2× repeated
- Dec '21The Regression Equation 3 MPC–006
- Jun '21Multiple regression. 3 MPC–006
2× repeated
- Dec '23Tetrachoric correlation.
- Jun '19Semipartial Correlation.
2× repeated
- Jun '18Type I and Type II errors
- Jun '15Type I and Type II errors
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FAQ
What is MPC-006?
MPC-006 is the IGNOU MA Psychology paper code for "Statistics in Psychology", a first-year compulsory subject.
How many papers have been analysed for MPC-006?
17 official IGNOU TEE papers from 2015–2024 have been read and topic-tagged for this analysis.
Which topics in MPC-006 repeat the most?
The highest-frequency topics are listed above, ranked by how many times they have appeared in the last 2015–2024. Topics marked "extreme" have appeared 4+ times.
Where can I get model answers for MPC-006?
Subscribe via the form on the MAPC hub page to unlock the full PDF answer guide for MPC-006. The first subject in each specialisation is fully unlocked free.