Suppose that a 95 confidence interval for the proportion of teen drivers who were involved in a car accident is found to be (0.1425, 0.2875). Does the 95 confidence level imply that P(0.1425 < < 0.2875) = 0.95?
a. Yes
b. No
Q. 2A medication produces side effects in each user with probability 0.10 and this is independent from one person to the next. If 50 people use the medication, the number who will experience side effects is
a. a binomial random variable.
b. always 5.
c. always 10.
d. the value for which the probability distribution function (pdf) has the largest value.
Q. 3Suppose that a 95 confidence interval for the proportion of teen drivers who were involved in a car accident is found to be (0.1425, 0.2875). Does the 95 confidence level imply that P(0.1425 < p < 0.2875) = 0.95?
a. Yes
b. No
Q. 4Which of the following is an example of a binomial random variable?
a. The number of games your favorite baseball team will win this coming season.
b. The number of questions you would get correct on a multiple-choice test if you randomly guessed on all questions.
c. The number of siblings a randomly selected student has.
d. The number of coins a randomly selected student is carrying.
Q. 5Suppose that a 95 confidence interval for the proportion of teen drivers who were involved in a car accident is found to be (0.1425, 0.2875). What is the value of the standard error of the sample proportion?
Q. 6Consider an experiment that involves repeatedly rolling a six-sided die. Which of the following is a binomial random variable?
a. The number of rolls until a 4 is rolled for the first time.
b. The number of times that a 4 is rolled when the die is rolled six times.
c. The sum of the numbers observed on the first six rolls.
d. It is not possible to have a binomial random variable when rolling a six-sided die because a binomial random variable allows only two possible outcomes, not six.
Q. 7Suppose that a 95 confidence interval for the proportion of teen drivers who were involved in a car accident is found to be (0.1425, 0.2875). What is the value of the point estimate for the population proportion of teen drivers who were involved in a car accident?