Statistics

Introduction to Statistics
Statistic is a numerical quantity, which is calculated from:
Population
Sample
Data
Observations
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Corelation and Regression
In regression analysis, the variable that is being predicted is the :
response, or dependent, variable
independent variable
intervening variable
is usually x
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Statistical Inference
A set of joint sufficient statistic is said to be minimal if it is the function of any other sufficient:
Parameter
Estimator
Statistics
h (x)
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Introduction to Statistics
Population census is conducted through:
Sample survey
Accounting
Investigation
Complete enumeration
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Introduction to Statistics
In statistics, a sample means:
A portion of the sample
A portion of the population
All the items under investigation
None of the above
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Statistical Inference
In Neyman Fisher Factorization Theorem:
L(x; ?) = g (S ; ?) h(x)
L(x) = g (& = &)
L(x) = g (& = &) f(x)
None of these
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Statistical Inference
Estimation is the branch of:
Statistic
Statistical Method
Both A andB
Statistical Inference
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Introduction to Statistics
The first hand and unorganized form of data is called:
Secondary data
Organized data
Primary data
None of these
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Probability Distribution
Mean is l/(m-1) of:
Laplace distribution
Beta distribution of kind II
Beta distribution of kind I
Gamma distribution
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Corelation and Regression
In a regression analysis if r 2 = 1, then :
SSE must also be equal to one
SSE must be equal to zero
SSE can be any positive value
SSE must be negative
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