Question: Determine whether each experiment is a binomial experiment. If it is, define the values of n, p, and q. If it is not, explain why.

Determine whether each experiment is a binomial experiment. If it is, define the values of n, p, and q. If it is not, explain why.

1. Fancy Pants clothing store has found that 28% of the people who enter the store will buy something. During a one-hour period, 16 people enter the store. The random variable represents the number of people who do not buy anything.

2. 1247 people were polled and asked "Do you approve, disapprove or have no opinion on the way the president is handling his job?" The random variable represents the number of people who approve of the way the president is handling his job.

Find the probabilities. Remember, you must show work to earn credit.

3. Time for a pop quiz! There are five multiple-choice questions on the quiz. Each question has four possible answers (only one answer is correct). You didn't read the lesson, so you decide to guess the answers. Find the probability of guessing

a) exactly three correct answers.

b) all five correct answers

4. Fifty-four percent of the class studied for the final exam. You randomly select 10 students in the class and ask if they studied for the final exam. Find the probability that the number who studied is exactly eight.

Determine whether each experiment is a binomialDetermine whether each experiment is a binomialDetermine whether each experiment is a binomial
3. Sixty-three percent of teenagers have a job. Consider a random sample of five teenagers who are asked if they have a job. Find the mean, variance and standard deviation of the binomial distribution. Interpret the results. Use the given values of n and p to calculate the mean, variance and standard deviation. Remember, you must show work to earn credit. MEAN VARIANCE STANDARD DEVIATION MEAN VARIANCE STANDARD DEVIATION 4. Thirty-eight percent of Americans have type O* blood. You randomly select 20 Americans and ask if they have type O+ blood. Find the mean, variance and standard deviation of the binomial distribution. Interpret the results

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