Binomial Experiments Day 2

If you were to flip a coin 20 times, what is the probability you would get exactly 10 heads?

• .5
• .1762
• .5881
• .4119

An algebra 2 test has 6 multiple choice questions with four choices with one correct answer each. If we just randomly guess on each of the 6 questions, what is the probability that you get exactly 3 questions correct?

• 0.962

• 0.132

• 0.831

• 0.250

A survey found that 25% of pet owners had their pets bathed professionally rather than do it themselves. If 18 pet owners are randomly selected, find the probability that exactly 5 people have their pets bathed professionally

• 3.42
• 1.03
• 0.072
• 0.199

A quarterback has a incomplete passing percentage of 30%. What is the probability that he does not complete exactly 8 of his 20 passes?

• 11.44%

• 12.45%

• 54%

• 12.34%

The American Red Cross says that about 11% of the U.S. population has Type B blood. A blood drive is being held at your school.What is the probability that exactly 2 of the first 20 blood donors have Type B blood? 

• 0.316
• 0.282
• 0.001
• Not here

An algebra 2 test has 6 multiple choice questions with four choices with one correct answer each. If we just randomly guess on each of the 6 questions, what is the probability that you get exactly 3 questions correct?

• 0.962

• 0.132

• 0.831

• 0.250

Which 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.

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

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

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

• Number of trials

• Number of Successes

• Probability of Successe

• Probability of Failure

What does q (1-p) stand for in the binomial probability formula?

• Number of trials

• Number of Successes

• Probability of Success

• Probability of Failure