Probability Distribution of a Discrete Random Variable

• Yes, because all of the probabilities are between 0 and 1 inclusive and the sum of all the probabilities is 1.

• No, some of probabilities are not between 0 and 1 inclusive

• No, the sum of all the probabilities is not 1.

• Yes, because the distribution is symmetric

• Yes, because all of the probabilities are between 0 and 1 inclusive and the sum of all the probabilities is 1.
• No, all probabilities are not be between 0 and 1 inclusive
• No, the sum of all the probabilities is not 1.
• Yes, because the distribution is symmetric

• Yes, because all of the probabilities are between 0 and 1 inclusive and the sum of all the probabilities is 1.
• No, all probabilities are not be between 0 and 1 inclusive
• No, the sum of all the probabilities is not 1.
• Yes, because the distribution is symmetric

Determine which of the following distribution is NOT a probability distribution.

• A

• B

• C

• D

The table represents the probability of guessing correct on a 5 question true-false quiz.  Find the probability for at least 4 questions correct.

• .03125

• .15625

• .3125

• .1875

All of the probabilities in a probability distribution add up to what?

• 0

• 10

• 1

• .5

Is this a probability distribution?

• No, the sum of p(x) does not equal 1.

• Yes, all p(x) are between 0 and 1.

• No, all p(x) are not between 0 and 1.

• Yes, the sum p(x) is 1.

• A

• B

• C

• D

The prob. distribution represents X= Ana's score on a randomly selected Skee Ball roll. Interpret the expected value E(X).

• We expected Ana to score about 23.8 points on any randomly selected Skee Ball roll.

• Ana will score exactly 23.8 points on any Skee Ball roll.

• We expected Ana to score less than 23.8 points on any randomly selected Skee Ball roll.

• We expected Ana to score greater than 23.8 points on any randomly selected Skee Ball roll.

A discrete random variable X has the probability distributions shown in the table. Find the value of k. (Remember that a valid probability distribution must add up to 1)

• 1/3

• 7/12

• 1/12

• 1/4