MCQ 7
51.
When all possible combination of factors levels are tested once, then
experiment is called full factorial or complete or
A. One double replicate.
B. A single
replicate.
C. A double
replicate.
D. First replicate.
52.
If each combination is tested several times, the experiment is called a
A. Triple
replicate.
B. Multiple
replicate.
C. Replication.
D. Duplication.
53.
If not all the combinations of factors levels are tested, the experiment
is called fractional factorial or incomplete factorial experiment.
A. True.
B. False.
C. Sometimes true.
D. Confusing.
54
Whenever experiment involves sub sampling, there are two types of
variability in the experimental error i.e. εijk and
δijk.
(i) εijk i.e.
variation among experimental units on the same
treatment
(ii) δijk i.e.
variation among sampling units within the
A. Experimental units.
B. Treatments.
C. Events.
D. Distribution
55.
The set of operations which potentially
affect the change in the experimental units i.e. a crop variety, a dose of
fertilizer, combination of factor levels etc.
A. An applicator.
B. A dose.
C. An event.
D. A treatment.
56.
The smallest part of experimental material to which one trial of a
single treatment is applied e.g. a plot, an area of ground containing many
plots, an animal or several animals.
A. Medicine.
B. Experimental unit.
C. Dose.
D. Design.
57
The fraction of experimental unit and the smallest part of experimental
material to which we can make a single measurement.
A.
Sampling
unit.
B.
Treatment.
C.
Dose.
D.
Design.
58.
A plan and set of rules which is used to test the association between
the experimental unit and treatments such that we can measure yield i.e.
Yield= True value + error.
A. Model.
B. Design.
C. Formula.
D. Relation.
59.
The principles of design are replication, randomization and
A. Neutralization.
B. Summarization.
C. Reduction of error.
D. Random error.
60.
If a treatment is used more than once in an experiment under identical
conditions then we say that the treatment is
A. Repeated.
B. Retreated.
C. Replicated.
D. Recycled.
61.
The process of assigning
treatments to the experimental units in such a way that all the units have an
equal chance of receiving a treatment.
A. Randomization.
B. Neutralization.
C. Summarization.
D. Reduction of error.
62.
Reduction of error is possible by
A. By using formula.
B. Local control
or blocking.
C. By using calculator.
D. By introducing
new techniques.
63. Blocks are always made orthogonal
(perpendicular) of variation.
A. In case of
frequency distribution.
B. In case of
non parametric.
C. In case of
binomial distribution.
D. In case of
designs
64.
Each block contains
A. Homogeneous
experimental units.
B. Heterogeneous experimental
units.
C. Frequency.
D. Elements.
65.
Each treatment occurs once in
A. Each table.
B. Each row.
C. Each column.
D. Each block.
66.
Model is just scientific way of
A. Discussing a phenomenon.
B. Describing a
data.
C. Picturing facts.
D. Calculations
67.
A relation among some constants and variables.
A. Calculation.
B. Rule.
C. Model.
D. Equation.
68
k treatments are specifically chosen by the experimenter.
A. In a random effect model.
B. In a fixed effect model.
C. In a mixed effect model.
D.
In a rare effect model.
69.
Hypothesis about treatment mean is tested and conclusion is drawn only
for k treatments.
A. In
a random effect model.
B. In a fixed effect model.
C. In a mixed effect model.
D.
In a rare effect model.
70.
When we want to compare two population means, we use
A.
Any formula.
B.
Any estimator.
C. Any equation.
D. Two sample t-test.
71.
Is there any relationship between CRD and student t-test?
A. No.
B. Yes.
C. Some times.
D. Strange.
72. In a random effect model, the
k treatments used in the experiment, are chosen
A. Randomly.
B. Non randomly.
C. Through a formula.
D. Randomly but in advance.
73.
In case of random effect model, hypothesis about variation among
treatment
A. Variance is tested.
B. Standard deviation is tested.
C. Mean is tested.
D. Geometric mean is
tested.
74.
In some experiments situation it is inconvenient to measure yield on the
entire experimental unit. In this case we use the method of
A.
Rank correlation.
B.
Extrapolation.
C.
Interpolation.
D.
Hierarchical classification.
75.
In the situation in which both fixed effect and random effect phenomena
exists, are called
A. Random effect
model.
B. Fixed effect model.
C. Rare effect model.
D. Mixed effect model.
51
|
B
|
52
|
B
|
53
|
A
|
54
|
A
|
55
|
D
|
56
|
B
|
57
|
A
|
58
|
B
|
59
|
C
|
60
|
C
|
61
|
A
|
62
|
B
|
63
|
D
|
64
|
A
|
65
|
D
|
66
|
B
|
67
|
C
|
68
|
B
|
69
|
B
|
70
|
D
|
71
|
B
|
72
|
A
|
73
|
C
|
74
|
D
|
75
|
D
|
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