1. The crows of Pakistan are black therefore
all the crows are black is an example of
A.
Deductive inference.
B.
Suggestion.
C. Inductive
inference.
D. Statistical
inference.
2. To give statement about the specific on
the basis of general is called
A. Deductive inference.
B. Suggestion.
C. Inductive inference.
D. Statistical inference
3. On the basis of
axioms all the buffalos
give milk, therefore Pakistani buffalos
also give milk, is an example of
A.
Deductive inference.
B. Suggestion.
C. Inductive inference.
D. Statistical inference
4.
Statistical inference is induction in nature, because we observed the sample
observations first and then infer about
A. The sample.
B. The nature of population.
C. Statistics.
D. Estimate.
5.
The study which deals with the estimation and their reliability (Truthiness
falseness) is called
A. Hypothesis.
B. Sampling.
C. Statistics.
D. Inference theory.
6. Inference
theory is generally based
A. On one theory.
B. On two theories.
C. On three
theories.
D. On four theories.
7. Sampling
theory which helps to provide an estimate about the true but unknown
B. Value.
C. Population parameter.
D. Figure.
8. Probability
Theory which helps to determine the reliability of the
A. Sample.
B. Estimate.
C. Population parameter.
D. Figure.
9. The function of sampling theory and probability
theory developed
A. Inference
theory.
B. Interpolation
C. Extrapolation.
D. Sp theory.
10. Any
function of simple observation whether it may or may not estimate a parameter
is called
A. Variance.
B. Parameter.
C. Range.
D. Statistic.
11.
Mean and variance are
A. Biased parameters.
B. Adjust able.
C. First
parameters.
D. Not
easy to calculate
12. The
estimator of any distribution is mean median and
A. Mode.
B. Hypothesis.
C. Parameter.
D. Statistics.
13. To improve or
disprove doubtful things or to discover new facts is known as
A. A result.
B. An experiment.
C. An outcome.
D. A chance.
14. If
there exists one consistent estimator, we may construct
A. Two others.
B. Infinitely many
others.
C. Three others
D. Four others.
15. Consistency
alone cannot determine the estimators as
A. Special.
B. Accurate.
C. Unique.
D. Unbiased.
16. If
two statistics are used as estimators
of the same parameter. Then one whose sampling distribution has smaller
variance is more
A. Sufficient
estimator.
B. Efficient estimator.
C. Consistent estimator.
D. Biased estimator.
17. In
the limit all the most efficient estimators tend to
A. Equalence.
B. Differ.
C. Vanish.
D. Unreliable.
18. There
are three types of parameter
i. Location Parameter
ii. Scale parameter
B.
Graph
parameter.
C.
Space
parameter.
D.
Size
parameter.
19. The
parameter which moves the curve or graph of distribution along X – axis only (X
- 
) is called
) is called
A. Location parameter.
B. Shape parameter.
C. Scale parameter.
D. Circle.
20.
The parameter which changes the size of distribution (not shape), (
)is called
)is called
B. Graph
parameter.
C. Space
parameter
D. Scale parameter.
21. The
parameter which occurs in the power of variable is called
A. Shape parameter.
B. Graph parameter.
C. Space parameter
D. Scale parameter
22. Shape
parameter changes
A. Location of distribution.
B. The shape or graph of distribution.
C. Real situation of distribution.
23. If we want to compare ten population
means, then by using two sample t-test we will use 45 tests for this
comparison. An alternative way is that of
A. ANOVA.
B. ANCOVA
C. CRD.
D. GLSD.
24. Consistent
estimators are not necessarily
A. Unbiased.
B. Biased.
C. Accurate.
D. Special
25. Unbiased
estimator need not to be
A. Large.
B. Consistent.
C. Inaccurate.
D. Simple.
|
1
|
C
|
2
|
A
|
3
|
A
|
4
|
B
|
5
|
D
|
|
6
|
B
|
7
|
C
|
8
|
B
|
9
|
A
|
10
|
D
|
|
11
|
C
|
12
|
A
|
13
|
B
|
14
|
B
|
15
|
C
|
|
16
|
B
|
17
|
A
|
18
|
A
|
19
|
A
|
20
|
D
|
|
21
|
A
|
22
|
B
|
23
|
A
|
24
|
A
|
25
|
B
|
very helpful thank you so much.
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