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Online Tests
Statistics Ics Part 2 Chapter 3 Online Test MCQs With Answers
Question # 1
The standard error of the estimate increased by decreasing
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population
sample size
errors
precision
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Question # 2
Statistic is an estimator and its calculated value is called:
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Biased estimate
Estimation
Interval estimate
Estimate
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Question # 3
The process of making estimates about the population parameter from a sample is called:
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Statistical independence
Statistical inference
Statistical hypothesis
Statistical decision
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Question # 4
A single value used to estimate a population value is called:
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Interval estimate
Point estimate
Confidence interval
Level of confidence
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Question # 5
If population proportion (P) is unknown, the standard error of the sample proportion (p) can be estimated by the formula
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Question # 6
If the observations are paired and the number of pairs is n, then the number of degree of freedom is equal to
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n
n - 1
2n
2n - 1
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Question # 7
Statistical inference has two branches namely:
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Level of confidence and degrees of freedom
Biased estimator and unbiased estimator
Point estimate and interval estimate
Estimation of parameter and testing of hypothesis
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Question # 8
The difference of upper and lower limits of confidence interval measures the
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level of significance
level of confidence
interval
precision
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Question # 9
An estimator is ------------ if its expected value is equal to the population parameter to be estimated
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bad
biased
unbiased
none of these
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Question # 10
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best estimators
biased estimators
unbiased estimators
normal estimators
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Question # 11
If 1-α = 0.90, the value of Z
a/2
is:
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1.645
1.96
2.326
2.575
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Question # 12
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biased
unbiased
positively biased
none of these
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Question # 13
Level of significance is denoted by
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2 - α
3 - α
α
1 - α
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Question # 14
By increasing the sample size, the precision of confidence interval is:
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Decreased
Increased
Constant
Unchanged
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Question # 15
The distance between an estimate and the estimated parameter is called:
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Sampling error
Standard error
Bias
Error of estimation
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Question # 16
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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