Benchmark #3 Review Stats Part 1

A discrete random variable is:

• A variable that takes on a countable number of values

• A variable that can be displayed in a table

• A variable that has an uncountable # of values

• A variable that has values that cannot be displayed in a table

• A variable that is random

A continuous random variable is:

• A variable that takes on a countable number of values

• A variable that can be displayed in a table

• A variable that has an uncountable # of values

• A variable that has values that cannot be displayed in a table

• A variable that is random

What makes a discrete probability distribution valid?

• All values add up to 1

• All probabilities add up to 1

• All probabilities are between 0 and 1

• n(p)> 10 and n(1-p)>10

Use the distribution table to answer the questions.

P(x = 5)

• 0.026

• 0.531

• 0.537

• 0.974

Use the distribution table to answer the questions.

P(x < 5)

• 0.026

• 0.531

• 0.537

• 0.974

• 0.026

• 0.531

• 0.557

• 0.974

Use the distribution table to answer the questions.

P(3<x<9)

• 0.27

• 0.469

• 0.887

• 0.84

Use the distribution table to answer the questions.

P(x>3)

• 0.27

• 0.469

• 0.887

• 0.84

• 0.27

• 0.469

• 0.887

• 0.84

Which of the following can be used to find the mean of the discrete random variable?