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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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Sampling Techniques
In cluster sampling units are found in the form of:
aggregate
groups
cluster
stratum
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Probability Distribution
a and ß are two parameters of:
Gamma distribution
Laplace distribution
Bivariate normal distribution
Negative Exponential distribution
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Measures of Dispersion
Mean deviation computed from a set of data is always:
Negative
Equal to standard deviation
More than standard deviation
Less than standard deviation
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Measures of Dispersion
The sum of squares of the deviations is minimum, when deviations are taken from:
Mean
Mode
Median
Zero
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Probability Distribution
If n ?8 then t ?
Normal
Gamma
Beta
Laplace
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Measures of Central Tendency
If mean, median, and mode are all equal then distribution will be:
Positive Skewed
Negative Skewed
Symmetrical
None of these
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Sampling Techniques
The performance of systematic sampling depends on:
sample size
population
properties of population
characteristics of sample
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Sampling Techniques
In systematic sampling we divide:
population into nth parts
population into N equal of kit unit each
population
sample
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Measures of Dispersion
The measure of dispersion which uses only two observations is called:
Range
Quartile deviation
Mean deviation
Standard deviation
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Sampling Techniques
Regression model with stochastic term is called fixed model:
True
False
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