In: Statistics and Probability
1.
(Use Computer) Let X represent a binomial random variable with n = 400 and p = 0.8. Find the following probabilities. (Round your final answers to 4 decimal places.) |
Probability | |
a. P(X ≤ 330) | |
b. P(X > 340) | |
c. P(335 ≤ X ≤ 345) | |
d. P(X = 300) | |
2.
(Use computer) Suppose 38% of recent college graduates plan on pursuing a graduate degree. Twenty three recent college graduates are randomly selected. |
a. |
What is the probability that no more than five of the college graduates plan to pursue a graduate degree? (Round your final answer to 4 decimal places.) |
b. |
What is the probability that exactly nine of the college graduates plan to pursue a graduate degree? (Round your final answer to 4 decimal places.) |
c. |
What is the probability that at least nine but no more than twelve of the college graduates plan to pursue a graduate degree? (Round your final answer to 4 decimal places.) |
3.
Let the mean success rate of a Poisson process be 7 successes per hour. |
a. | Find the expected number of successes in a 27 minutes period. (Round your final answer to 1 decimal place.) |
b. |
Find the probability of at least 2 successes in a given 27 minutes period. (Round your answer to 4 decimal places.) |
c. | Find the expected number of successes in a two hours 6 minutes period. (Round your final answer to 1 decimal place.) |
d. |
Find the probability of 14 successes in a given two hours 6 minutes period. (Round your answer to 4 decimal places.) |
4.
(Use computer) Assume that X is a Poisson random variable with μ = 28. Calculate the following probabilities. (Round your final answers to 4 decimal places.) |
a. P(X ≤ 18) | |
b. P(X = 20) | |
c. P(X > 22) | |
d. P(24 ≤ X ≤ 32) | |