Tuesday, 16 October 2018

MCQ 24




                                            MCQ   24

76 Root mean square deviation becomes the standard deviation when arbitrary origin concides with
A.        Mean.
B.         Mode.
C.         Median.
D.        G.M
77 Variance is the mean of the squares minus the
A.       Square of mode.
B.        Square of median.
C.        Square of mean.
D.       Square of H.M.
78 The standard deviation is a very important concept that serves as basic measure of
A.       Skewness.
B.        Kurtosis.
C.        Fluctuation.
D.       Variability.
79 A smaller value of standard deviation indicates that the most of the observations in data set are close to the
A.       Mean.
B.        Median.
C.        Mode.
D.       G.M
80  A large value of standard deviation indicates that the observations are scattered widely about the
A.      Mean.
B.       Median.
C.       Mode.
D.      G.M
81 To compare the variability of two or more sets of data, we find
A.      Coefficient of standard deviation.
B.       Coefficient of correlation.
C.       Coefficient of variation.
D.      Coefficient of double variation.
82 The standard deviation as a percentage of the arithmetic mean of a data set.
A.      Coefficient of standard deviation.
B.       Coefficient of correlation.
C.       Coefficient of variation
D.      Coefficient of double variation.
83 A pure number without units, it is therefore used to compare the variation in two or more data set or distribution’s that are measured in different units e.g. one may be measured in hours and the other in Kilogram or rupees.
A.       Coefficient of standard deviation.
B.        Coefficient of correlation.
C.        Coefficient of variation.
D.       Coefficient of double variation.
84  ------------------------------- is also used to compare the performance of two candidates or two players given their scores in various subjects or games, the smaller the ------------------------------, the more consistent is the performance of the candidates or players.
A.       Coefficient of variation.
B.        Coefficient of correlation.
C.        Coefficient of standard deviation.
D.       Coefficient of double correlation.
85  Coefficient of variation is unreliable when arithmetic mean is
A.         Very large.
B.          Very small.
C.          In minus.
D.         Not clear.
86  The variance of constant is
A.        One.
B.         Zero.
C.         Constant.
D.       -1.
87  The variance is independent of the
A.        Origin.
B.         Scale.
C.         Values.
D.        Distribution.
88  The variance increases by a2  when the scale of x is changed by
A.                   2a.   
B.                    a2   .
C.                    1/a.
D.                    a                                                                                                                            
89  The variance of the sum or difference of two independent variables is equal to the
A.         Sum of their respective variances.
B.          Product of their respective variances.
C.          One of the variances.
D.         Difference of their respective variances.
90  The covariance of two independent variables is equal to
A.         1.
B.          The sum of their respective variances.
C.           Zero.
D.          The difference of their respective variances.
91 The mean of the standardized variable is equal to
A.         1.
B.         -1.
C.          It’s mean.
D.         Zero.
92 The variance of a standardized variable is equal to
A.        -1.
B.          1.
C.          Zero.
D.         It’s mean.
93 Mean is obtained from the data set after having removed all the observations below the first quartile and all the observations above the third quartile.
A.         Winsorized mean.
B.          An average mean.
C.          Trimmed mean.
D.          Quartile mean.
94  Mean is calculated from the modified data set obtained by replacing each observation below the first quartile with the value of the first quartile and each observation above the third quartile with the value of third quartile.
A.         Winsorized mean.
B.          An average mean.
C.          Trimmed mean.
D.         Quartile mean.
95 A moment designates the power to which deviations are raised before
A.        Multiplying them.
B.         Dividing them.
C.         Simplifying them.
D.        Averaging them.
96 The rth moment about the mean is arithmetic mean of the rth power of deviations of the observations from the
A.        rth origin.
B.         Median.
C.         Mean.
D.        Mode.
97 The moments about the mean or about the arbitrary origin are also called the
A.        Simple moments.
B.         Mean moments.
C.         Arbitrary moments.
D.        Power moments.
98  Moment ratios are   
A.          μ1 and μ2 
B.                β1 and β2
C.                Β2 and β3
D.              μ2 and μ3 
99 Moment ratios are independent of
A.         Origin.
B.          Scale.
C.          Value.
D.         Origin and scale.
100      For symmetrical distribution   β1 =       
A.        1.
B.         0.
C.        -1.
D.        2.

                 



Answers                MCQ 24
76
A
77
C
78
D
79
A
80
A
81
C
82
C
83
C
84
A
85
B
86
B
87
A
88
D
89
A
90
C
91
D
92
B
93
C
94
A
95
D
96
C
97
D
98
B
99
D
100
B


                                    

MCQ 27

51.     The least square estimates have maximum variances among all the linear unbiased biased estimates. A.         True. B.       ...