Match List-I with List-II List-I List-II a j = frac overline...

Home / Commerce / Business Statistics And Research Methods / Question

Examveda

Match List-I with List-II:

List-I List-II

a. $$j = \frac{{\overline X - {M_Q}}}{\sigma }$$ 1. Kelly's coefficient of skewness

b. $$j = \frac{{{Q_3} - {Q_1} - 2{M_Q}}}{{{Q_3} - {Q_1}}}$$ 2. Bowley's measure of skewness

c. $$j = \frac{{{P_{90}} + {P_{10}} - 2{P_{50}}}}{{{P_{90}} - {P_{10}}}}$$ 3. Karl Pearson's coefficient of skewness

Choose the correct option from those given below:

A. a-3, b-2, c-1

B. a-3, b-1, c-2

C. a-1, b-2, c-3

D. a-2, b-1, c-3

Answer: Option A

Related Questions on Business Statistics and Research Methods

A. The central limit theorem

B. The law of statistical regularly

C. The law of inertia of large numbers

D. None of the above

View Answer

A. Sampling error

B. Measurement error

C. Coverage error

D. Non-response error

View Answer

Assertion (A): If regression coefficient of X on Y is greater than one, regression coefficient of Y on X must be less than one.
Reason (R): The geometric mean between two regression coefficients is the coefficient of correlation.

A. Both (A) and (R) are true

B. (A) is true, but (R) is false

C. (A) is false, but (R) is true

D. Both (A) and (R) are false

View Answer

B. 1

C. 0.4

D. 0.8

View Answer

List-I	List-II
a. $$j = \frac{{\overline X - {M_Q}}}{\sigma }$$	1. Kelly's coefficient of skewness
b. $$j = \frac{{{Q_3} - {Q_1} - 2{M_Q}}}{{{Q_3} - {Q_1}}}$$	2. Bowley's measure of skewness
c. $$j = \frac{{{P_{90}} + {P_{10}} - 2{P_{50}}}}{{{P_{90}} - {P_{10}}}}$$	3. Karl Pearson's coefficient of skewness