University of South Florida Discrete Random Variable & Types of Probability Questions
Question Description
In this assignment, you will provide a plain language explanation of the
primary concepts of this topic and the types of probability
distributions that may be used for it. In addition, you will provide
examples of how your field would apply each of these probability
calculations in your field to predict or present issues in and around
the pandemic.
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 ofdistributions explain in words (no formulas, no equations, and nosymbols) a)what they model and b) what the given elements are for each(i.e. event, sample, conditional/independent). c) Then provide oneexample from your field *of how they could be applied (you may usesources but must have more than one, you may not quote them, and youmust 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 foryour group project case research. You may start developing that asearly as you like. However, each group member must have a differentcase to present.
the field is mechanical engineering please include examples from the field
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