Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

Quiz Instructions This assignment consists of 13 questions. Please answer every

ID: 1214463 • Letter: Q

Question

Quiz Instructions This assignment consists of 13 questions. Please answer every question prior to submitting your assignment. Be sure to round answers to at least two decimals! You will not get credit for the answer 3.1 if the actual answer is 3.1157, but you would get credit for 3.12, 3.116, or 3.1157. DO NOT use Internet Explorer to take this assignment. You should use Mozilla Firefox or Google Chrome.

Question 1 1 pts Which of the following is an example of discrete data? The temperature taken at noon on every day during the month of January. The air pressure of NBA basketballs before each game during a season. The number of customers a restaurant serves each day in a given week. The times for a set of runners in a marathon.

Question 2 1 pts Consider the following discrete distribution. Note that x represents the value of a particular outcome and P(x) represents the probability of that outcome. x P(x) 0 0.1 1 0.2 2 0.3 3 0.2 4 0.1 5 0.1 What is the mean of this distribution?

Question 3 1 pts Consider the following discrete distribution. Note that x represents the value of a particular outcome and P(x) represents the probability of that outcome. x P(x) 0 0.1 1 0.2 2 0.3 3 0.2 4 0.1 5 0.1 What is the standard deviation of this distribution?

Question 4 1 pts Consider the following discrete distribution. Note that x represents the value of a particular outcome and P(x) represents the probability of that outcome. x P(x) 0 0.1 1 0.2 2 0.3 3 0.2 4 0.1 5 0.1 What is the probability that an observed x is equal to 3?

Question 5 1 pts Consider the following discrete distribution. Note that x represents the value of a particular outcome and P(x) represents the probability of that outcome. x P(x) 0 0.1 1 0.2 2 0.3 3 0.2 4 0.1 5 0.1 What is the probability that an observed x is less than or equal to 3?

Question 6 1 pts Suppose we are flipping a fair coin (i.e., probability of heads = 0.5 and probability of tails = 0.5). Further, suppose we consider the result of heads to be a success. What is the mean of the binomial distribution if we flip the coin 5 times?

Question 7 1 pts Suppose we are flipping a fair coin (i.e., probability of heads = 0.5 and probability of tails = 0.5). Further, suppose we consider the result of heads to be a success. What is the standard deviation of the binomial distribution if we flip the coin 5 times?

Question 8 1 pts Suppose we are flipping a fair coin (i.e., probability of heads = .5 and probability of tails = .5). What is the probability that in a sample of 5 flips, all 5 will be heads?

Question 9 1 pts Suppose we are flipping a fair coin (i.e., probability of heads = .5 and probability of tails = .5). What is the probability that in a sample of 5 flips, fewer than 4 will be heads?

Question 10 1 pts The U.S. mint, which produces billions of coins annually, has a mean daily defect rate of 4 coins. Let X be the number of defective coins produced on a given day. What is the variance of this distribution?

Question 11 1 pts The U.S. mint, which produces billions of coins annually, has a mean daily defect rate of 4 coins. Let X be the number of defective coins produced on a given day. On a given day, what is the probability of exactly 4 defective coins?

Question 12 1 pts The U.S. mint, which produces billions of coins annually, has a mean daily defect rate of 4 coins. Let X be the number of defective coins produced on a given day. On a given day, what is the probability of 3 or fewer defective coins?

Question 13 1 pts The U.S. mint, which produces billions of coins annually, has a mean daily defect rate of 4 coins. Let X be the number of defective coins produced on a given day. On a given day, what is the probability of more than 3 defective coins?

0 .1 1 .2 2 .3 3 .2 4 .1 5 .1

Explanation / Answer

Ans 1)The number of customers a restaurant serves each day in a given week.