**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:**

A.Moments about zero

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