751. The standard deviation one distribution dividedly the mean of the distribution and expressing in percentage is called:
A.Coefficient of Standard deviation
B.Coefficient of skewness
C.Coefficient of quartile deviation
D.Coefficient of variation

752. If Y = aX + b, where a and b are any two numbers but a ∦ 0, then S.D(Y) is equal to:
A.S.D(X)
B.a S.D(X)
C.∣a∣ S.D(X)
D.a S.D(X) + b

753. The variance of 19, 21, 23, 25 and 27 is 8. The variance of 14, 16, 18, 20 and 22 is:
A.Greater than 8
B.8
C.Less than 8
D.8 – 5 = 3

754. Var(X) = 4 and Var(Y) =9. If X and Y are independent random variable then Var(2X + Y) is:
A.13
B.17
C.25
D.-1

755. The moments about origin are called:
B.Raw moments
C.Both (a) and (b)
D.(d)Neither (a) nor (b)

756. The first moment about X = 0 of a distribution is 12.08. The mean is:
A.10.80
B.10.08
C.12.08
D.12.88

757. In a symmetrical distribution, the coefficient of skewness will be:
A.0
B.Q1
C.Q3
D.1

758. If mean=20, median=16 and standard deviation=2, then coefficient of skewness is:
A.1
B.2
C.4
D.-2

759. If the sum of deviations from median is not zero, then a distribution will be:
A.Symmetrical
B.Skewed
C.Normal
D.All of the above

760. The lower and upper quartiles of a distribution are 80 and 120 respectively, while median is 100. The shape of the distribution is:
A.Positively skewed
B.Negatively skewed
C.Symmetrical
D.Normal