# Discrete Random Variables & Probability Distributions

I don’t know how to handle this Statistics question and need guidance.

Use ONLY words (no formulas, no equations, and no symbols) to answer the following questions:

1. Define in your own words what a random variable is and what makes it discrete?

a. What limitations are there in using this approach to probability prediction?

b. What type of data do you need?

2. Define Expected Value in words only.

For the following 3 types of distributions explain in words (no formulas, no equations, and no symbols) a)what they model and b) what the given elements are for each (i.e. event, sample, conditional/independent). c) Then provide one example from engineering field of how they could be applied (you may use sources but must have more than one, you may not quote them, and you must cite them):

3. Binomial

4. Hypergeometric

5. Negative Binomial

6. How does the Bernoulli random variable relate to the binomial and negative binomial distributions?