USF Discrete Random Variables and Probability Distribution Questions

Question Description

While the primary purpose of this assignment is for you to think about and work with statistical concepts, it is important after you complete your writing that you take the time to review and edit it for coherence, completeness, and grammar. Using a grammar and spelling program such as Grammarly is highly recommended, as excessive grammar errors and incoherent writing will lower your grade. Download and use the CA 2.3 Template to answer the questions for this assignment. Use ONLY words (no formulas, no equations, and no symbols) to answer the following questions:

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 your 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?

* Think of the applications in your field as starting points for your group project case research. You may start developing that as early as you like. However, each group member must have a different case to present.

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