Respuesta :
Answer:
Step-by-step explanation:
Given Data:
Set A : x = 23, Med = 22, S = 1.2
Set B : x = 24, Med = 29, S = 3.1
The Formula for Pearson's Index of Skewness (for Median in given data) is:
[tex]Sk_{2} = 3(\frac{x - Med}{S} )[/tex]
where,
[tex]Sk_{2} =[/tex] Pearson's Coefficient of Skewness
[tex]Med =[/tex] Median of Distribution
[tex]x=[/tex] Mean of Distribution
[tex]S=[/tex] Standard Deviation of Distribution
a) Finding Skewness:
For Set A:
[tex]Sk_{2_{A}} = 3(\frac{23 - 22}{1.2} )\\\\Sk_{2_{A}} = (\frac{3}{1.2} )\\\\Sk_{2_{A}} = 2.5[/tex]
For Set B:
[tex]Sk_{2_{B}} = 3(\frac{24 - 29}{3.1} )\\\\Sk_{2_{B}} = 3(\frac{-5}{3.1} )\\\\Sk_{2_{B}} = -4.84[/tex]
b) Type of Distribution:
For Set A:
As the value of skewness is a positive value (i.e. 2.5). Hence, Set A is right (positively) skewed.
For Set B:
As the value of skewness is a negative value (i.e. -4.84). Hence, Set B is skewed left (or negatively skewed).
c) Which Set can be considered as symmetric?
As the Pearson's Coefficient of skewness for Set A (2.5) is closer to 0 as compared to that of Set B (-4.84). Set A is more closer to that of a symmetric distribution and therefore can be considered as one.
Answer:
Is there a picture?
Step-by-step explanation:
It would be better if i could see a image!
