PMI-RMP Certification Training - Probability Distribution

The video tutorial explains different types of probability distributions, including uniform, normal, and triangular distributions. It discusses how these distributions relate to risk and uncertainty in project management, using examples like coin flips and dice rolls to illustrate uniform distributions. Normal distributions are described as symmetric with outliers, while triangular distributions are noted for their asymmetry. The tutorial also touches on the application of these concepts in quantitative risk analysis.

What is the primary purpose of a probability distribution in project management?

• To ensure project completion on time

• To visualize the likelihood of different outcomes

• To determine the exact cost of a project

• To eliminate all risks in a project

Which of the following is an example of a uniform distribution?

• The distribution of heights in a population

• The likelihood of rolling a specific number on a die

• The probability of drawing a red card from a deck

• The chance of rain on a given day

How is a uniform distribution visually represented?

• As a bell-shaped curve

• As a straight line

• As a zigzag pattern

• As a steep slope

What characterizes a normal distribution?

• All outcomes are equally likely

• It has a symmetric range of probabilities

• It forms a triangular shape

• It is always skewed to the right

Which statement is true about triangular distributions?

• They are smoother than normal distributions

• They are used to represent uniform outcomes

• They are characterized by an asymmetric distribution

• They have a symmetric distribution of probabilities