> male=c(1.50,1.20,1.30,1.05,0.75,0.80,1.00,0.95,0.925,2.50,3.00,3.50,4.01)
> female=c(0.75,0.82,0.91,0.84,0.59,1.02,1.90,2.10,2.20,2.50,3.50,2.20,1.80)
> library(moments)
## For Male ##
mean(male)
[1] 1.729615
Mean of the male is 1.729615.
> var(male)
[1] 1.261069
## Skewness and kurtosis of male ##
> skewness(male)
[1] 0.9943119
Here the value of skewness B1 and Y1 is less than 1
i.e. 0.9943. This value implies that the distribution of the data is slightly positively skewed.
> kurtosis(male)
[1] 2.43481
For the kurtosis, we have 2.301051 implying that the distribution of the data is platykurtic, since the computed value is less than 3.
If B2 <3 hence the distribution of the data is platykurtic
hist(male)
From the graph we also seen that the distribution is positively skewed.
> ## For Female ##
mean(female)
[1] 1.625385
Mean of the male is 1.625385
> var(female)
[1] 0.7710603
> skewness(female)
[1] 0.5628414
Here the value of skewness B1 and Y1 is less than 1
i.e. 0.5628414. This value implies that the distribution of the data is slightly positively skewed.
> kurtosis(female)
[1] 2.451395
For the kurtosis, we have 2.451395 implying that the distribution of the data is platykurtic, since the computed value is less than 3.
If B2 <3 hence the distribution of the data is platykurtic
> hist(female)
A) (3pts) P(y 2.00) B) (3pts) P(3.33 Sy s 3.75) C) (3pts) The cut off values...
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