1. Use examples to distinguish between discrete and continuous data. Explain why each example is appropriate for the concept it is illustrating.

2. Describe an example of a simple probability experiment. Identify the random variable and the possible values it could take on.

3. Provide a complete example of a discrete probability distribution. Show the possible values of the random variable and associated probabilities, and explain how the example meets the criteria for a probability distribution.

4. Calculate the expected value of the probability distribution used as an example in question 3. Show the calculations.

5. Provide an example of a binomial experiment. Explain why the example meets the requirements of a binomial.