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- 1. Multiple ChoiceWhat does the n stand for in the binomial probability formula?Number of trialsNumber of SuccessesProbability of SuccessesProbability of Failures
- 2. Multiple Choice
What does the p stand for in the binomial probability formula?
Number of trials
Number of Successes
Probability of Successe
Probability of Failure
- 3. Multiple Choice
What does q (1-p) stand for in the binomial probability formula?
Number of trials
Number of Successes
Probability of Success
Probability of Failure
- 4. Multiple ChoiceWhich of the following is NOT an assumption of the Binomial distribution?All trials must be independent.Each trial must be classified as a success or a failure.All trials are dependent on each other.The number of successes in the trials is counted.
- 5. Multiple Choice
Does the following describe a binomial experiment? If yes, identify n, p, q, and x.
Cyanosis is the condition of having blueish skin due to insufficient oxygen in the blood. About 80% of babies born with cyanosis recover fully. A hospital is caring for five babies born with cyanosis. The random variable represents the babies that recover fully.
no
Yes. n=5, p=.8, q=.2, x= 0,1, 2, 3, 4, 5
Yes. n=5, p=.8, q=.2, x= 1, 2, 3, 4, 5
- 6. Multiple Choice
Does the following describe a binomial experiment? If yes, identify n, p, q, and x.
A state lottery randomly chooses 6 balls numbered 1 to 40. You choose 6 numbers and purchase a lottery ticket. The random variable represents the number of matches on your ticket to the numbers drawn in the lottery.
no
Yes. n=6, p= 1/6, q= 5/6, x= 0,1, 2, 3, 4, 5, 6
Yes. n=6, p= 1/6, q= 5/6, x= 1, 2, 3, 4, 5, 6
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