EDUCATION (CBSE/UGC NET)

Detailed explanation-1: -Thus in a Leptokurtic distribution, the frequency is more peaked at the center than in the normal distribution curve. Therefore, the Normal Probability Curve should be Zero skewed.

Detailed explanation-2: -The normal distribution is the proper term for a probability bell curve. In a normal distribution the mean is zero and the standard deviation is 1. It has zero skew and a kurtosis of 3. Normal distributions are symmetrical, but not all symmetrical distributions are normal.

Detailed explanation-3: -A normal distribution (bell curve) exhibits zero skewness. Investors note right-skewness when judging a return distribution because it, like excess kurtosis, better represents the extremes of the data set rather than focusing solely on the average.

Detailed explanation-4: -The Normal (or Gaussian) distribution is the most common continuous probability distribution. The function gives the probability that an event will fall between any two real number limits as the curve approaches zero on either side of the mean. Area underneath the normal curve is always equal to 1.

Detailed explanation-5: -It indicates that your distribution has: Right Skew-If the plotted points appear to bend up and to the left of the normal line that indicates a long tail to the right. Left Skew-If the plotted points bend down and to the right of the normal line that indicates a long tail to the left.