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Online Tests
Statistics Ics Part 2 Online Test MCQs With Answers
Question # 1
A set of points in a rectangular coordinate system, where each point represents an observed pair of values is called
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least square regression
scatter diagram
pie graph
regression coefficient
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Question # 2
List of all the units of the population is called______.
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Random sampling
Bias
Sampling frame
Probability sampling
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Question # 3
Study of the population is called_______.
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Parameter
Error
Statistic
Census
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Question # 4
The probability density function has ------------------ value for every value of x.
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negative
positive
minimum
maximum
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Question # 5
The relationship that describes the dependence of the expected value of the dependent random variable for a given value of the independent non-random variable is called
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equation
relation
ratio
regression
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Question # 6
The graph of time series is called:
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Histogram
Historigram
Straight line
Ogive
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Question # 7
1 kb = _____________ bytes
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10
100
1000
10,000
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Question # 8
Total probability under the normal curve is
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1
0
-1
∞
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Question # 9
Monitors, PC projectors and sound systems are
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soft copy output devices
real copy output devices
raw copy output devices
hardcopy output devices
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Question # 10
The moment Coefficient of kurtosis is
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β
1
β
2
Zero
m
2
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Question # 11
The following statistic are unbiased estimators:
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The Sample mean
S
2
= Σ(X - X)
2
/n-1
The sample proportion
All the above
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Question # 12
P ( | Z | > a) =
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2
ø(a) - 1
ø(a)
2 ø (-a)
1-ø(a)
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Question # 13
A hypothesis that specifies all the value of parameter is called:
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Statistical hypothesis
Simple hypothesis
Composite hypothesis
None of these
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Question # 14
Probability distribution of a statistic is called:
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Sampling
Parameter
Data
Sampling distribution
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Question # 15
Arithmetic operations are carried out by_______ units:
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CPU
RAM
ALU
ROM
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Question # 16
A complete computer system has________ parts.
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2
3
4
5
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Question # 17
A complete list of elements in a population is called
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population
sampling design
sampling frame
sampling unit
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Question # 18
The method of least square gives too much weight to extremely large deviations from the
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population
parameter
sample
trend
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