What are the requirements for a probability distribution?
Differentiate between a discrete and a continuous random variable.
Discuss the requirements for a binomial probability experiment.
What is the difference between a discrete probability
distribution and a continuous probability distribution?
Give your own example of each. What is the expected value, and
what does it measure?
How is it computed for a discrete probability distribution?
What is the difference between a discrete probability
distribution and a continuous probability distribution? Give your
own example of each.
What is the expected value, and what does it measure?
How is it computed for a discrete probability distribution?
What is the difference between a discrete
probability distribution and a continuous
probability distribution?
Give your own example of each. What is the
expected value, and what does it measure?
How is it computed for a discrete probability
distribution?
Describe the difference between discrete and continuous data
with examples. (5)
What is the difference between the process of using probability
calculations for discrete verses continuous data? How do these
calculations change? (5)
What is probability distribution?
a. Select 5 probability distributions from discrete and
continuous random varibles. Express the probability function and
distribution functions of these distributions.
b. Show that the distributions you select fulfill the conditions
for the probability functions to be probability functions.
c. Find the expected values and variance of these distributions
theoretically.
Show that the conditional distribution is a valid pdf/pmf for
both discrete and continuous random variables.
State the assumptions necessary to show this. (Hint: your
“proof” should not be overly technical.)