2. Which of the following is an example of a Poisson experiment? A) Tossing a coin 100 times and observing for a head or a tail. B) Rolling a die 20 times and observing for the number 6. C) Drawing three yellow marbles from a box that contains 7 blue, and 11 yellow marbles. D) Finding the probability that a salesperson who sells about 8 cell phones per day sells 1 today. 3. Probabilities of different types of vehicle-to-vehicle accidents are shown below: Probability Accident
2. Which of the following is an example of a Poisson experiment? A) Tossing a coin 100 times and observing for a head or a tail. B) Rolling a die 20 times and observing for the number 6. C) Drawing three yellow marbles from a box that contains 7 blue, and 11 yellow marbles. D) Finding the probability that a salesperson who sells about 8 cell phones per day sells 1 today. 3. Probabilities of different types of vehicle-to-vehicle accidents are shown below: Probability Accident
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 50E: Flexible Work Hours In a recent survey, people were asked whether they would prefer to work flexible...
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Quantitative Methods 1 - Multiple Choice 2,3,4,5
Transcribed Image Text:2. Which of the following is an example of a Poisson experiment?
A) Tossing a coin 100 times and observing for a head or a tail.
B) Rolling a die 20 times and observing for the number 6.
C) Drawing three yellow marbles from a box that contains 7 blue, and 11 yellow marbles.
D) Finding the probability that a salesperson who sells about 8 cell phones per day sells 10
today.
3. Probabilities of different types of vehicle-to-vehicle accidents are shown below:
Accident
Car to Car
Car to Truck
Truck to Truck
Find the probability that an accident involves a car.
A) 0.81
B) 0.70
C) 0.11
D) 0.19
Probability
0.70
0.11
0.19
4. Which of the following satisfies a binomial distribution?
(1) Each trial has only two outcomes- a success and a failure.
(ii) There is infinite number of trials.
(iii) The probability of success changes from trial to trial.
(iv) Trials are random and independent
A) (i), (ii) and (iv) only
B) (i) and (ii) only
C) (i) and (iii) only
D) (i) and (iv) only
5. A Poisson distribution has a 2 of 16. The mean, variance and standard deviation are:
A) 16, 8, 4
|
B) 16, 4, 2
C) 16, 16, 4
D) cannot be calculated
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