Week 4 (ISDS)

A variable that can take on a finite and countable number of values is a ________ variable.

• qualitative

• discrete

•  continuous

• nominal

Which of the following is true about a probability distribution?

• The sum of all possible outcomes must not equal 1.

• The representation must be graphed, not tabular or algebraic.

• The outcomes do not need to be mutually exclusive.

• The probability of each outcome must be between 0 and 1, inclusive.

The expected value of a random variable, denoted μ, is also called its:

• median

• variance

• mean

• mode

Consider the following probability distribution. Which of the following is true?

• P(X > 6) = 0.07

• P(X ≥ 3) = 0.64

• P(2 < X < 5) = 0.42

• P(X ≤ 6) = 0.93

Which of the following is true for the binomial distribution?

• There are at least three or more possible outcomes.

• The probability of success remains the same for each trial

• The probability of success P, is equal to 1.99 most of the time.

• The number of trials are not independent.