Question

How do you comment on the shape of the distribution regarding spread and peakedness?
What are the measures used for commenting? Explain​

Answer 1

Answer:

kurtosis for peakness and skewness for spread

Step-by-step explanation:

Kurtosis -

❑ The degree of flatness or peakedness is measured by kurtosis.

❑ It tells us about the extent to which the distribution is flat or peak

❑ The normal curve is called Mesokurtic curve.

❑ If the curve of a distribution is more peaked than a normal or Mesokurtic curve  then it is referred to as a Leptokurtic curve.

❑ If a curve is less peaked than a normal curve, it is called as a Platykurtic curve.

Skewness -

Skewness is a measure of the asymmetry of the probability distribution of a  random variable about its mean.

 In other words, skewness tells you the amount and direction of skew.

 The skewness value can be positive or negative, or even undefined.