M.A. (Semester (CBCS) Examination Mar/Apr-2018
Rural Development
QUANTITATIVE TECHNIQUES
Time: 2½ Hours
Max. Marks: 70
Instructions: All questions are compulsory. Figures to the right indicate full marks.
Q.1
Multiple choice questions.
14
Average used to measure central tendency is called
Single mean
Arithmetic mean
Negative mean
Population
Which of the following is not comes under the central tendency?
Mean
Median
Mode
Variance
Which average is most sensitive to extreme value?
Mean
Median
Mode
None of these
Dispersion is the measures
Variation
Average value
Occurs most frequently
None of these
Co-efficient range.




Regression analysis
Establishes a relationship between two variables
Establishes cause and effect
Measures growth
Measures the demand for a good.
A coefficient of correlation is computed to be -0.95 means that
The relationship between two variables is weak.
The relationship between two variables is strong and positive.
The relation between variables is strong, but negative.
Correlation coefficient cannot have this value.
Q.2
Short Notes. (Any 4 out of
14
Advantages of arithmetic mean.
Explain the individual series with the example.
Range
Correlation
Importance of regression analysis.
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SLR-HY-2
Q.3
Short answer types question. Any 2 out
14
Calculate the median value from following given a data.
X 61 62 63 64 65 66 67
Y 20 10 18 17 13 21 9
Calculate the standard deviation from following given data.
X 4 5 6 7 8 9 10
Y 3 7 8 10 12 6
4
Calculate the Karl-Pearson's co-efficient of correlation.
X 9 8 7 6 5 4 3 2 1
Y 15 16 14 13 11 12 10 8 9
Q.4
Internal choice question. Any 1 out of
14
Calculate the mode value from following given a data.
X 0-10 10-20 20-30 30-40 40-50 50-60 60-70 70-80
Y 2 5 12 17 14 6 3 1
OR
Calculate Spearman's co-efficient of rank correlation for the following the data.
X 53 98 95 81 75 61 59 55
Y 47 25 32 37 30 40 39 45
Q.5 From the following data find out the two regression equations.
14
X 6 2 10 4 8
Y 9 11 5 8 7