A random sample of 4000 U.S. citizens yielded 2250 who are in favor of gun control legislation. Estimate the true proportion of all Americans who are in favor of gun control legislation using a 90 confidence interval.
A) .5625 .4048 B) .4375 .4048 C) .5625 .0129 D) .4375 .0129
Q. 2Transportation officials tell us that 90 of drivers wear seat belts while driving. What is the probability of observing 511 or fewer drivers wearing seat belts in a sample of 600 drivers?
A) approximately 1 B) 0.1 C) approximately 0 D) 0.9
Q. 3The number of goals scored at each game by a certain hockey team follows a Poisson distribution with a mean of 4 goals per game. Find the probability that the team scored exactly seven goals in each of two randomly selected games.
A) 0.00354505 B) 0.88091927 C) 0.11908073 D) 0.00000145
Q. 4Name and describe the kind of bias that might be present if the management decides that instead of subjecting people to random testing they'll just
a. Hold department meetings and drug test the employees that attend.
b. Offer additional employee discounts for those employees who agree to be drug tested.
Administrators at a large hospital are concerned about the possibility of drug abuse by people who work there. They decide to check on the extent of the problem by having a random sample of the employees undergo a drug test. Several plans for choosing the sample are proposed.
a. There are four employee classifications: doctors, medical staff (nurses, technicians, etc.) office staff, and support staff (custodians, maintenance, etc.). Randomly select ten people from each category.
b. Each employee has a 4-digit ID number. Randomly choose 40 numbers.
c. At the start of each shift, choose every tenth person who arrives for work.
d. Randomly select five departments and test all the people who work in those department - doctors, nurses, technicians, clerks, custodians, etc.
Q. 5A random sample of 4000 U.S. citizens yielded 2150 who are in favor of gun control legislation. Find the point estimate for estimating the proportion of all Americans who are in favor of gun control legislation.
A) .5375 B) .4625 C) 4000 D) 2150
Q. 6Transportation officials tell us that 60 of drivers wear seat belts while driving. Find the probability that more than 409 drivers in a sample of 650 drivers wear seat belts.
A) 0.6 B) 0.9406 C) 0.0594 D) 0.4
Q. 7The number of goals scored at each game by a certain hockey team follows a Poisson distribution with a mean of 6 goals per game. Find the probability that the team will score more than three goals during a game.
A) 0.151204 B) 0.938031 C) 0.848796 D) 0.061969
Q. 8One manager suggesting just going to the stores in the city where the company is headquartered so they wouldn't have to travel far. What type of sampling would this be? Explain why this method is biased.
Be sure to name the kind(s) of bias you describe and link it to the variable of interest.
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