MCQ 10

26.      A standard Latin square is also called a

               A.    Simple Latin square.

               B.     Partial Latin square.

               C.     Double Latin square.

               D.     Reduced Latin square.

27      When in case of LSD, the data from the same units are lacking, missing plot technique by

                A.      Hansir’s can be used.

B.      Yate’s can be used.

C.      Gauss can be used.

D.      Malthus can be used.

28.     LSD is less flexible by nature, because it does not permit any number of replications for any

A.    Treatment.

                B.     Factor.

                C.     Level.

                D.    Observation.

29.  LSD is not suitable (less efficient) when the number of treatments is

A.    Greater than 7 or smaller than 5.

B.    Greater than 10 or smaller than 4.

C.    Greater than 8 or smaller than 5.

D.    Greater than 8 or smaller than 6.

30.     Also for p=2,( here p stands for treatment)

           The LSD is not possible because

          d.f = (p-1)(p-2)=(2-1)(2-2)=(1)(0)=0

          So   MSE =

A.          ∞.

B.           1.

C.           0.

D.         -1.

        

31.   In the LSD the analysis becomes very difficult if there are

A.    Treatments, greater than 7 or smaller than 5.

B.    Missing data.

C.    Treatments, greater than 8 or smaller than 5.

D.    Treatments, greater than 8 or smaller than 6.

32.    Miss assignment of treatments to the rows and columns create problem in the analysis.

                   A.    PTM.

                   B.    P-value.

                   C.    LSD.

                   D.   Range.

 33.  If p (number of treatments) increases the experimental error per unit is likely to increase and if p is small then the degree freedom for error becomes very small.

                   A.     In case of variance.

                   B.     In case of LSD.

                   C.     In case of multinomial distribution.

                   D.    In case of CRD.

34. To control three sources of variations, we use a design called

                   A.    CRD.

                   B.    ANOVA.

   C.    GLSD.

   D.     BIBD.

35.     There are four variables i.e. row, column, Latin letters and Greek letters.

                   A.    CRD.

                   B.    ANOVA.

   C.    GLSD.

   D.    BIBD.

36.    If p, the number of treatment is increased, the numbers of experimental units are likely to increase; as a result the efficiency of the design is

                   A.       Increased.

                   B.       Sometimes decreased.

                   C.       Sometimes increased

                   D.       Decreased.

37.   For p=3(the number of treatments), GLSD is not possible, because MSE = ∞, the degree of freedom for error =

                A.      1

B.      0.

C.     -1.

D.     ∞.

38.     GLSD is less efficient if the number of treatments is

A.        Less than 5 or greater than 10.

B.        Less   than 8 or greater than 9.

C.        Less than 7 or greater than 8.

D.        Less than 6 or greater than 7.

39.   In case of GLSD, missing observations, the analysis of the data become

                A.        Simple.

                B.        Simple but not reliable

                C.        Complicated.

                D.       Complicated but reliable

40.     In case of GLSD, balancing of the three groups is

A.       Easily possible.

B.       Seldom possible.

C.       Possible but needs expertise.

D.       Impossible.

41.   Miss assignment of Latin letters and also Greek letters create a problem in the analysis of data

                   A.       CRD.

                   B.       GLSD.

                   C.       ANOVA.

                   D.       RCBD.

42.    In case of two Latin squares, if each letter of one square occurs exactly once with every letter of the other square when they are superimposed.

                   A.       are said to be orthogonal.

                   B.       are said to be perpendicular.

                   C.       are said to be twins.

                   D.       are said to be correlated.

43.   If we write one of the two orthogonal squares with Latin letters and other with the Greek letters , then superimposing the two squares we get another square or design  in which each Latin letter or Greek letter appears exactly once in row and in each column and each Latin letter appears exactly once with each Greek letter. Such square or design is called

                   A.      ANOCOVA.

                   B.      PBIBD.

   C.      GLSD.

   D.      RCBD.

44.  6Χ6 GLSD

                   A.       Exists.

                   B.       Exists but seldom.

                   C.       Easily lay out.

   D.       Does not exist.

45.    The statistical technique applied to analyze the effect of classification on the main observation when the influence of the concomitant observation is eliminated by regression method is called    

                 A.      Analysis of variance.

                 B.      Analysis of covariance.

                 C.      Analysis of correlation.

                 D.     Analysis of regression.

46.    The ANOCOVA technique consists of the combined application of linear regression and

A.      ANOVA.

B.      Correlation.

C.      Multiple regressions.

D.      BCR.

47.    Fixed variable =concomitant variable =

                A.      Random variable.

B.      Regressor.

C.      Estimator.

D.     Estimate.

48.    Fixed variable =concomitant variable = regressor =explanatory variable=

A.       Independent variable.

B.       Random variable.

C.       Estimate.

D.       Estimator.

49.  If the treatments consist of all the possible combinations of several levels of several factors.

                   A.       CRD.

                   B.       RCBD.

                    C.      ANOVA.

                   D.       Factorial experiment.

50.   Some multifactor designs evolving randomized blocks, we may be unable to completely randomize the order of the runs with in the blocks, this often results in generalization of the randomized block design, called a

A.      Split plot design.

B.       Split into split plot design.

C.       PBIBD.

D.      ANOCOVA.
         

26	D	27	B	28	A	29	B	30	A
31	B	32	C	33	B	34	C	35	C
36	D	37	B	38	A	39	C	40	B
41	B	42	A	43	C	44	D	45	B
46	A	47	B	48	A	49	D	50	A