Expected Value & Binomial Probability Distribution

Which of the following is false about binomial probabilities?

• Each trial results in success or failure.

• Trials are all identical.

• Trials are independent.

• The probability of success must be 0.50

What does the p stand for in the binomial probability formula?

• Number of trials

• Number of Successes

• Probability of Successes

• Probability of Failures

What does the r stand for in the binomial probability formula?

• Number of trials
• Number of Successes
• Probability of Successes
• Probability of Failures

Is this binomial experiment? Shuffle a deck of 52 cards. Turn over the top card. Do not replace the card. Repeat the process 5 times. Let X = the card you observe.

• Yes

• No, the trials are not identical.

Tags

CCSS.HSF-LE.A.1B

Identify whether the experiment involves a discrete or a continuous random variable.

tossing a pair of fair coins

• Discrete Random Variable

• Continuous Random Variable

Identify whether the experiment involves a discrete or a continuous random variable.

Comparing the weights of our dogs

• Discrete Random Variable

• Continuous Random Variable

What is the area of the given probability distribution?

• 1

• 1/6

• 100

• 100%

Tags

CCSS.HSS.MD.A.1

CCSS.HSS.ID.A.4

Is the distribution below a probability distribution? Why or why not?

• Yes. All P(x) values are between 0 and 1, and ∑P(x) = 1
• No, not all P(x) values are between 0 and 1.
• No, ∑P(x) ≠ 1.

Tags

CCSS.HSS.MD.A.1

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

Is this a probability distribution?

• No

• Yes

Tags

CCSS.HSS.MD.A.1

CCSS.HSS.MD.A.2

CCSS.HSS.ID.A.4

Is this a probability distribution?

• No

• Yes

Tags

CCSS.HSS.MD.A.1

CCSS.HSS.MD.A.2

CCSS.HSS.ID.A.4