We'll find Karl Pearson's mode coefficient of skewness.
From the table one can see that the maximal frequency corresponds to the 4-th interval with midpoint 147. Therefore, mode M(X)=147.
Calculate the expectation of the random variable:
E ( X ) = ( 132 ⋅ 3 + 137 ⋅ 12 + 142 ⋅ 21 + 147 ⋅ 28 + 152 ⋅ 19 + 157 ⋅ 12 + 162 ⋅ 5 ) / 100 = 147.2 E(X)=(132\cdot 3 +137\cdot 12 +142\cdot 21 +147\cdot 28 +152\cdot 19 +157\cdot 12 +162\cdot 5)/100=147.2 E ( X ) = ( 132 ⋅ 3 + 137 ⋅ 12 + 142 ⋅ 21 + 147 ⋅ 28 + 152 ⋅ 19 + 157 ⋅ 12 + 162 ⋅ 5 ) /100 = 147.2
Calculate the variance of the random variable:
V ( X ) = ( 132 − 147.2 ) 2 ⋅ 3 + ( 137 − 147.2 ) 2 ⋅ 12 + ( 142 − 147.2 ) 2 ⋅ 21 + ( 147 − 147.2 ) 2 ⋅ 28 + ( 152 − 147.2 ) 2 ⋅ 19 + ( 157 − 147.2 ) 2 ⋅ 12 + ( 162 − 147.2 ) 2 ⋅ 5 ) / 100 = 51.96 V(X)=(132-147.2)^2\cdot 3 +(137-147.2)^2\cdot 12 +(142-147.2)^2\cdot 21 +(147-147.2)^2\cdot 28 +(152-147.2)^2\cdot 19 +(157-147.2)^2\cdot 12 +(162-147.2)^2\cdot 5)/100=51.96 V ( X ) = ( 132 − 147.2 ) 2 ⋅ 3 + ( 137 − 147.2 ) 2 ⋅ 12 + ( 142 − 147.2 ) 2 ⋅ 21 + ( 147 − 147.2 ) 2 ⋅ 28 + ( 152 − 147.2 ) 2 ⋅ 19 + ( 157 − 147.2 ) 2 ⋅ 12 + ( 162 − 147.2 ) 2 ⋅ 5 ) /100 = 51.96
Calculate the standard deviation:
σ = V ( X ) = 51.96 = 7.21 \sigma=\sqrt{V(X)}=\sqrt{51.96}=7.21 σ = V ( X ) = 51.96 = 7.21
Karl Pearson's mode coefficient of skewness:
E ( X ) − M ( X ) σ = 147.2 − 147 7.21 = 2.77 \frac{E(X)-M(X)}{\sigma} = \frac{147.2-147}{7.21}=2.77 σ E ( X ) − M ( X ) = 7.21 147.2 − 147 = 2.77
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