**(i) Meaning, types and Objectives of Skewness**

Meaning. Skewness means asymmetricity of the distribution of a statistical series.It is opposite to the symetrical nature of a series. In a symmetric series, the following characteristics are found:

**Characteristic of a Symmetric Series**

- The values of the series when plotted on a graph paper give a bell shaped curve as under:

- The values of Mean, Median and Mode are identical.
- Both the extreme quartiles i.e. Q
_{3}are equidistant from the Median i.e. (Q_{3}– M) = (M – Q1). - Both the extreme Percentiles, and Deciles are equidistant from the Median.

i.e. (P_{90} – M) = (M – P_{10}), and

(D_{9} – M ) = (M – D_{1})

- The sum of the positive diviations from Median is equal to the sum of the negative deviations from Median i.e. ∑(
*X-M*) =0 - The frequencies are equally distributed at the points of equal deviations from Mode.
- B
_{1}(Beta one) is equal to zero. - B
_{2}(Beta two) is equal to 3. - Y
_{1}(Gamma one) is equal to zero.