M.A. (Semester II) (CBCS) Examination Mar/Apr-2018
Psychology (Paper
STATISTICS FOR PSYCHOLOGY
Time: 2½ Hours
Max. Marks: 70
Instructions: All questions are compulsory. Figures to the right indicate full marks. Use of calculator and statistical tables is allowed. Statistical tables will be provided if required
Q.1
Multiple Choice questions:
14
Ronald Fisher, the statistician, developed test.
test
Chi-square
test
test
There is between 0 to1.
Correlation
Probability
Normal curve
Analysis of variance
Chi-square test is
Non-Parametric
Parametric
Positive
Negative
The statistical Technique is to find out the dependence of one variable on another variable means
Chi-square test
test
test
Regression Analysis
If there are three or more variables then the problems in their co-rrelation are solved by
Partial
Biserial
Multiple regression
Normal curve
begins with the minus number and ends with plus number.
Hypothesis
Normal curve
Probability
Partial
For ordinal measurement test is used.
Chi-Square test
test
test
test
The regression Co-efficient is between
0 to 00
1 to 2
2 to 3
0 t0 1
If and are two variables then there are regression lines.
2
4
3
1
10) Scatter diagram variable are needed.
1
2
3
4
11) The concept of regression is dependent on
Chi-square test
Correlation
Normal curve
Probability
Page 2 of 4
SLR-HW-84
12) The „ANOCOA‟ technique is dependent on
Normal curve and probability
Probability and correlation
Biserial and partial
Regression and Anova
13) Hypothesis is tested.
Null
Alternative
Partial
Correlation
14) researcher found "regression analysis technique" test.
Furgusion
De moivre
Pearson
Francis Galton
Q.2
Write a short answer. (Any seven)
14
State the one example of minus correlation.
What is correlation?
What is probability?
What is regression?
Give the formula of test?
Give the full form of ANOVA.
Who invented the test?
What is within group variance?
What is Correlation Co-efficient?
What is meant by positive correlation?
Q.3
Write short notes. (Any Two)
14
Application of Normal curve.
Nature of Co-rrelation.
Multiple regression.
Analysis of variance
Q.4

In the table marks of the six subjects of a student from B.A I and the marks of the five subjects of a student from B.A II are given. Based on this information find out the marks a student will get in the sixth subject in B.A II. Make use of the regression analysis technique.
14
Subject
B.A. I
B.A. II
Marathi
65
61
Hindi
68
66
Economics
62
64
Politics
66
65
Psychology
65
62
English
62

OR

The intelligent test of students of the age group between 14 and 15 is taken. Their age and intelligent quotient are as given below. The co-rrelation calculates the co-rrelation between age and intelligent quotient with Karl Pearson‟s co-rrelation co-efficient.
Age
14
14
14
14
14
15
15
15
15
15
I.Q.
100
101
100
102
104
105
104
106
105
104
Q.5
A coin is tossed 180 times. The results are records as 50 heads and 130 tails. Using chi-square test find out whether this result is better than more chance.