Module 5

Question 1

Probability Density Function

Answer 1

A probability density function is a probability distribution function for continuous variables. Unlike discrete probability distributions, where individual outcomes have positive probabilities, probability density functions assign probabilities to intervals. The area under the curve of a PDF over an interval gives the probability that the variable falls within that interval.

Question 2

Normal Distribution

Answer 2

The normal distribution, which is often referred to as the bell curve, is a symmetric, continuous probability distribution characterized by a single peak, with values more frequent near the mean and less frequent as they move away from the mean in either direction.