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Measures of Central Tendency
48
Measures of Dispersion
49
Corelation and Regression
48
Introduction to Statistics
50
Statistical Inference
41
Probability Distribution
47
Sampling Techniques
47
Statistical Packages For Social Science
0
Statistical Methods
0
Business Statistics
576
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Corelation and Regression
Suppose that you have carried out a regression analysis where the total variance in the response is 133452 and the correlation coefficient was 0.85. The residual sums of squares is:
37032.92
20017.8
113434.2
96419.07
Author:
rikazzz
Comment
Probability Distribution
If y1 = y2 = y3 then first order statistics is:
y3
y2
y1
None of these
Author:
rikazzz
Comment
Statistical Inference
In Cramer-Rao Inequality var (T) is called:
Complete
Minimum variance bond
Efficient
None of these
Author:
rikazzz
Comment
Measures of Dispersion
The measurements of spread or scatter of the individual values around the central point is called:
Measures of dispersion
Measures of central tendency
Measures of skewness
Measures of kurtosis
Author:
rikazzz
Comment
Measures of Dispersion
If the difference of the third and first quartile is divided by the sum of the third and first quartile then it isknown as:
Quartile
Coefficient of mean deviation
Coefficient of quartile deviation
None of the above
Author:
rikazzz
Comment
Sampling Techniques
Regression model with stochastic term is called random model:
True
False
Author:
rikazzz
Comment
Probability Distribution
Range of Cauchy distribution is:
-8 to 8
0 to ?
0 to 8
-1 to +1
Author:
rikazzz
Comment
Sampling Techniques
Systematic sampling demands the selection of single complex:
sampling frame
frame
sampling design
sampling unit
Author:
rikazzz
Comment
Measures of Dispersion
The measures used to calculate the variation present among the observations in the unit of the variable iscalled:
Relative measures of dispersion
Coefficient of skewness
Absolute measures of dispersion
Coefficient of variation
Author:
rikazzz
Comment
Measures of Central Tendency
Harmonic men gives more weigntage to:
Small Values
Large Values
Positive Values
Negative Values
Author:
rikazzz
Comment
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