76. In
RCBD we may assume that the treatment are fixed and the blocks are random, such
a model is called
A. Random effect model.
B. Mixed effect model.
C. Rare effect model.
D. Fixed effect model.
77.
The simplest type of the basic designs.
A. CRD.
B. RCBD.
C. ANOCOVA.
D. BCR
78.
A design in which the treatments are assigned to the experimental unit
completely at random.
A. ANOCOVA.
B. RCBD.
C. CRD.
D. BCR.
79.
CRD gives accurate information if all the experimental units present in
the experiment are
A. Heterogeneous.
B. Homogeneous.
C. Not clear
D. Clear
80.
Sometimes we are required to compare several population means
simultaneously. This is also possible by using
A. GLSD.
B. Two sample t-
test.
C. Regression
equation.
D. Multinomial
distribution.
81.
CRD is very simple.
A.
But not easily laid out.
B.
And easily laid out.
C.
But gives biased result.
D.
And unbiased
82.
If in the CRD some observations are missing then also the analysis is
very simple, because the missing observations are discarded and carry out the
experiment without losing the
A. Efficiency of
the design.
B. Degree of
freedom.
C. Confidentiality.
D. Sufficiency of
the design.
83.
CRD provides maximum number of degree of freedom for the
A. Sum of squares.
B. Error sum of
squares.
C. Experiment.
D. Calculations.
84.
In CRD due to the maximum number of degree of freedom, the experimental
error is
A. Increased.
B. Remained the same.
C. Not remained the same.
D. Reduced.
85.
Completely flexible design i.e. any number of treatments and any number
of units per treatment may be used
A. GLSD.
B. LSD.
C. CRD.
D. RCBD.
86.
In the design the numbers of units per treatment need not to be equal.
A. GLSD.
B. LSD.
C. CRD.
D. RCBD.
87. -------------- is also considered to be most
useful when the experiments are small such as laboratory experiments.
A. GLSD.
B. CRD.
C. LSD.
D. RCBD.
88.
Design is not useful when the experimental units are heterogeneous.
A. GLSD.
B. LSD.
C. RCBD.
D. CRD.
89.
This design is applicable for small number of treatments, because if the
numbers of treatments are increased, increase also occurs in the experimental
units, due to which heterogeneity occurs.
A. GLSD.
B. LSD.
C. CRD.
D. RCBD.
90
In case of one source of variation CRD is not applicable but
A. GLSD is used.
B. LSD is used.
C. CRD is used.
D. RCBD
is used.
91.
Assumptions underlying ANOVA
(i) Normality (ii) Homogeneity (iii) Additivity and
A. Independence etc.
B. Interaction etc.
C. Correlation.
D. Regression.
92.
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. Sub sampling.
C. Interpolation.
D. Extrapolation.
93.
Let us suppose we give some quality of diet (treatments) to individuals
(experimental units) ,we are interested to measure that the diet having some
significant effect on the blood level of individuals or not. So in this case we
cannot take all the blood of the individual but we take some sample from the
experimental unit (i.e. drops of blood) randomly and carry out the experiment
and the result is then generalized for whole experimental units. This is
A. Rank correlation.
B. Interpolation.
C. Sub
sampling.
D. Extrapolation.
94. Let us suppose there
is a factory which produces different types of cloths. Now we are interested to
test the chemical effect on all types of cloths. In such a situation we do not
takes one or two bundles but we take one or two feet cloth from each of the
type. The chemical effect is tested on one or two feet cloth and the result is
then generalized for all the cloths.
This is
A. Rank correlation.
B. Sub sampling.
C. Interpolation.
D. Extrapolation.
95.
Whenever experiment involves sub sampling, there are two types of
variability in the experimental error i.e. εijk and
δijk.
(i) δijk i.e.
variation among sampling units within the experimental units.
(ii) εijk i.e.
variation among experimental units
A. On the same
treatment.
B. On the different
treatment.
C. Selected
treatment.
D. Randomly selected
treatment.
96. We know that F- test is used in the ANOVA.
But we do not know that what ratio should be used to test the hypothesis and
this can be done with the help of
A. Test statistics.
B. CRLB.
C. Expected mean
square.
D. Estimator.
97.
(i) it gives us the estimate of variance components.
(ii)
it gives us information about the future planning.
(iii) it provides us a test- statistic i.e. it
gives an idea that which test should be used for testing the given hypothesis. The above statements are advantages of
A.
Hypothesis.
B.
Estimation.
C.
Expected mean square.
D.
CRLB.
98.
RCBD is modified form of
A. GLSD.
B. ICBD.
C. RCD.
D. ANCOVA.
99.
(i) The experimental material
is divided into groups or blocks in such a manner that the experimental units
within a particular block are relatively homogeneous.
(ii) Each block contains a complete set of
treatments i.e. it is constitute complete set of treatments.
(iii) The treatments are assigned at random to the
experimental units within each block.
A. Analysis of variance (ANOVA).
B. A randomized complete block
design (RCBD)
C. ANCOVA.
D. CRLB.
100.
In RCBD all the restrictions are imposed only on
A. Complete blocking.
B. Random blocking.
C. Averaging.
D. Calculations.
|
76
|
B
|
77
|
A
|
78
|
C
|
79
|
B
|
80
|
B.
|
|
81
|
B
|
82
|
A
|
83
|
B
|
84
|
D
|
85
|
C
|
|
86
|
C
|
87
|
B
|
88
|
D
|
89
|
C
|
90
|
D
|
|
91
|
A
|
92
|
B
|
93
|
C
|
94
|
B
|
95
|
A
|
|
96
|
C
|
97
|
C
|
98
|
C
|
99
|
B
|
100
|
A
|
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