Module 4: Probability Distribution & Normal Distribution
Overview
Module 4 explores three different types of distributions: binomial distribution and Poisson distribution (Chapter 5), and normal distribution (Chapter 6). A Poisson distribution is based on an area of opportunity in which you are counting occurrences within an area such as time or space.
Contrast this with the binomial distribution in which each value is classified as of interest or not of interest. Finally, normal distribution is defined by its mean and standard deviation.
We will also be using Microsoft Excel to calculate binominal distributions, Poisson distributions, and normal distributions. There are videos to help you with these calculations.
Assignment: Discussion Question Reply
After posting your contribution, read what others have posted, reply to at least two of those posts, and respond (when appropriate) to those who have responded to you.
For the replies to classmates, compare the results of your events to their events. Which event is most likely to take place?
Topic of the discussion question:
In chapter 1, we learned that income can be either a continuous or discrete depending on how the question is asked.
For the initial discussion post, give an example representing a discrete probability distribution and another example representing a continuous probability distribution. Explain why your choices are discrete and continuous.
Discussion question #2
These are very logical. It may be nice to support the text with more math derivations. What are the equations for continuous vs discrete?
What are examples of discrete probability distribution vs continuous probability distribution using formulas?
