Courses
Courses for Kids
Free study material
Offline Centres
More
Store Icon
Store
seo-qna
SearchIcon
banner

Calculate Karl Pearson’s coefficient of skewness for the following data and interpret the result:
seo images

Answer
VerifiedVerified
396.6k+ views
Hint: Here in the given question we need to understand the property of statics, and by using the karl pearson method we can find the related solution, here we need to understand the median, mode and mean, their relation and the associated terms.

Formulae Used:
\[ \Rightarrow \overline x = \dfrac{1}{N}\sum\limits_{i = 1}^n {{f_i} \times {x_i}} \]
\[ \Rightarrow median = \dfrac{{N + 1}}{2}\]
\[ \Rightarrow {S_x} = \dfrac{1}{{N - 1}}\left( {\sum\limits_{i = 1}^n {{f_i} \times {x_i}^2} - \dfrac{{{{\left( {\sum\limits_{i = 1}^n {{f_i} \times {x_i}} } \right)}^2}}}{N}} \right)\]
\[ \Rightarrow {S_x} = \sqrt {{S_x}^2} \]
\[ \Rightarrow {S_k} = \dfrac{{3\left( {Mean - Median} \right)}}{{{S_x} + {S_x}^2}}\]

Complete step by step answer:
Here in the above question, we first need to solve for the required table, with the related quantities, and then solved according on solving we get:
\[{x_i}\]\[{f_i}\]\[{x_i} \times {f_i}\]\[{x_i}^2 \times {f_i}\]\[cf\]
012000120
10115115011500235
20108216072000343
3098294088200441
40853400136000526
50603000150000586
6018108064800604
70535024500609
80000609
Total36064914080547000


Now first we need to calculate the mean for the given data:
\[ \Rightarrow \overline x = \dfrac{1}{N}\sum\limits_{i = 1}^n {{f_i} \times {x_i}} \]
Putting the values we get:
\[ \Rightarrow \overline x = \dfrac{1}{N}\sum\limits_{i = 1}^n {{f_i} \times {x_i}} = \dfrac{{14080}}{{649}} = 21.69\]
Here we get the mean marks for each student.
Calculating the median we get:
\[ \Rightarrow median = \dfrac{{N + 1}}{2} = \dfrac{{650}}{2} = 325\]
Here we get the median for the given data.
Now sample variance is given by:
\[
   \Rightarrow {S_x}^2 = \dfrac{1}{{N - 1}}\left( {\sum\limits_{i = 1}^n {{f_i} \times {x_i}^2} - \dfrac{{{{\left( {\sum\limits_{i = 1}^n {{f_i} \times {x_i}} } \right)}^2}}}{N}} \right) \\
   \Rightarrow {S_x}^2 = \dfrac{1}{{649 - 1}}\left( {547000 - \dfrac{{198246400}}{{649}}} \right) = \dfrac{1}{{648}}\left( {547000 - 305464.40} \right) \\
   \Rightarrow {S_x}^2 = \dfrac{1}{{648}}\left( {241535.59} \right) = 372.74 \\
 \]
Now standard deviation is given by:
\[ \Rightarrow {S_x} = \sqrt {{S_x}^2} = \sqrt {372.74} = 19.306\]
Now karl pearson coefficient of skewness is given by:
\[ \Rightarrow {S_k} = \dfrac{{3\left( {Mean - Median} \right)}}{{{S_x} + {S_x}^2}} = \dfrac{{3(21.69 - 325)}}{{19.306 + 372.74}} = \dfrac{{ - 909.93}}{{392.046}} = - 2.3\]
Here we get the negative value for the given data that is less than zero, hence negative skewed.
Note: In the question related to statics we need to find the related terms, as above in order to get the solution for the question, here the table drawn will be different for different types of questions, since every property needs different data in order to get the answer.