1. A block is said to be complete if the
number of experimental units is equal
number of treatments to be used in the
A.
Experiment.
B.
Hypothesis.
C.
Blocks.
D.
RCBD.
2. In case of RCBD, Each treatment will occur
only once in each
A. Experiment.
B. Line.
C. Block.
D. Sample.
3. We make groups in RCD which will become
A. GLSD.
B. ICBD.
C.
ANCOVA.
D. RCBD.
4. In case of RCBD, Blocks should be made
orthogonal of
A. Variation
B. Treatment.
C. Standard error.
D. Experimental
units.
5. The purpose of RCBD is to control a source of variation in the
A. Treatments.
B. Distribution.
C. System.
D. Experimental material.
6. The most frequently used experimental
design
A. RCD
B.
RCBD
C. GLSD.
D. ICBD.
7. Statistical analysis in case of RCBD is
relatively simple but not simple than
A. SPD.
B. PCBD.
C. SSPD.
D. CRD.
8. In RCBD blocking can increase precision by
removing one source of variation form the
A.
Experimental
unit.
B.
Treatments.
C. Design.
D.
Factors
9. RCBD is easy to adjust for
A.
Large
values.
B.
Very
small values.
C.
Outliners.
D. Missing observation.
10. Design is flexible i.e. any number of treatments and any number of
replication may be used.
A. CRD.
B. RCBD.
C. SPD.
D. SSPD.
11. A part of experiment is damaged by
agriculture disaster like flood, salinity or water lagging etc, one or two blocks
can be discarded without destroyed the entire experiment.
A. SPD.
B. PCBD.
C. RCBD.
D. CRD.
12. By means of grouping a part of
predictable and un- predictable sampling variation are reduced from the
experimental error that is why the result obtained with RCBD are usually more
accurate than
A. CRD.
B. PCBD.
C. SSPD.
D. SPD .
13. In two source of variation RCBD is
A.
Efficient.
B. Less efficient.
C. Not efficient.
D. Very efficient.
14. When data is missing in RCBD then it
causes difficulty in the
A. Early stage.
B. End.
C. Analysis.
D.
Start.
15. The wrong assignment of treatments to bock
also create problem in the
A.
Early stage.
B.
End.
C.
Start.
D. Analysis.
16. If the number of treatments is very large,
the size of block will increase and increase in the block size may produce
A.
Heterogeneity.
B.
Homogeneity.
C. Confusion.
D. Simplicity.
17. In RCBD we lose some
A.
Information.
B.
Degree of freedom.
C.
Values.
D.
Statistics
18 If there are two sources of variations we
introduce
A.
RCBD.
B.
GLSD.
C.
Latin
square design.
D.
Split
plot design.
19. Here we make two blocks. The row wise
variation is controlled by making column wise block and similarly the column
wise variation is controlled by row wise blocking.
A.
RCBD.
B.
GLSD.
C.
Latin
square design.
D.
Split
plot design.
20. In case of LSD, each row and each column
should be a complete
A.
Column.
B. Block.
C. Row.
D. Design.
21. In case of LSD, must occur once and only
once in each row and each column.
A. Each
treatment.
B. Observation.
C. Sampling unit.
D.
Experimental material.
22. In LSD the number of treatment, rows and
columns are
A. Seldom
equal
B.
Usually equal.
C.
Equal.
D.
Unequal.
23. As in case of LSD, experiment is laid out in
a specific pattern, therefore the word
A.
Latin is used.
B.
Square is used.
C.
Design.
D.
experiment is used.
24. The
word “Latin” is used due to Euler who used Latin letters for symbols of
A.
Factors.
B.
Levels.
C.
Observations.
D. Treatments.
25. A Latin square in which the treatments in
the first row and in the first column are arranged in alphabetical order or
numerical order.
A. Simple
Latin square.
B. A
standard Latin square.
C. Partial Latin square.
D Double Latin square.
|
1
|
A
|
2
|
C
|
3
|
D
|
4
|
A
|
5
|
D
|
|
6
|
B
|
7
|
D
|
8
|
A
|
9
|
D
|
10
|
B
|
|
11
|
C
|
12
|
A
|
13
|
B
|
14
|
C
|
15
|
D
|
|
16
|
A
|
17
|
B
|
18
|
C
|
19
|
C
|
20
|
B.
|
|
21
|
A
|
22
|
C
|
23
|
B
|
24
|
D
|
25
|
B
|
good job
ReplyDeleteGo0d
ReplyDeleteGood
ReplyDeletegood job
ReplyDeleteGood
ReplyDelete