Probability Models Quiz 5 (30 MCQs)

Quiz Instructions

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1. There are four groups left to present their final projects. The groups are listed alphabetically from Group A to Group D. The teacher will choose one group at random to present their project. List all the outcomes in this sample space for this action.
2. How would you describe the probability of something that has a probability of 1?
3. What is the probability of flipping a fair coin and getting heads
4. A bag contains 3 red balls, 2 blue balls, and 5 green balls. If a ball is drawn at random, what is the probability that it is red?
5. If the probability that a house in your neighborhood has a dog is 60%, what is the chance that you find a house with a dog before the fifth house?
6. Which of the following is an example of a non-uniform probability model?
7. You roll two die.What is the probability you will roll a 4, then roll a number less than 3?
8. A test has 5 multiple-choice questions and each question has 2 possible answers (A or B). Which simulation would you use?
9. A model says a die is fair. You roll it 60 times and get the number 3 a total of 20 times. Is this result consistent with the model?
10. Permutation, combination, or neither?The batting order for seven players on a 12 person team.
11. Of the 12 frozen chickens, how many would you expect to contain enough salmonella bacteria to cause illness if improperly cooked? What is the standard deviation?
12. Find the probability of achieving success with the event:Drawing a spade from a deck of cards.
13. In a certain town, 75% of all drivers are insured. What is the expected number of insured drivers present in a group of 200 randomly selected townspeople?
14. If a spinner has 10 equal sections and the number 3 is in one of them, what is the theoretical probability of spinning a 3?
15. The cafeteria is serving three kinds of sandwiches:tuna (T), chicken, (C), and peanut butter (P). They are also serving a choice of two drinks:milk (M) or water (W). Which shows the complete set of possible combinations?
16. The mayor of Opa-Locka wants to find the probability that families with three children all have girls. Which simulation would best model this situation?
17. In 2010, an Angus Reid Public Opinion poll found that 56% of all Canadians admit to regularly swearing when they converse with friends (46% for Americans). A researcher plans to select a random sample of 200 Canadians from Montreal to further survey them about this topic. Use a Normal model to find the probability that at least 120 Canadians in their sample admit to swearing with their friends.
18. A data set is approximately normally distributed. About what percentage of the data lies within one standard deviation of the mean?
19. You draw a marble from a bag that has 4 red, 2 blue, and 3 green, you also flip a fair coin. What is the probability you will draw a blue marble and flip a heads?
20. True or False:Probability Models have two items:(1) Sample Space and (2) The events within the sample space and their probabilities.
21. If a bag has 3 red, 2 green, and 5 blue marbles, what is the probability of drawing a red?
22. What does the (1-p) stand for in the binomial probability formula?
23. What is the probability of drawing a heart from a standard deck of 52 cards?
24. Decide whether a binomial model applies and explain why or why not. Counting the number of red gummy bears you get as you take them one at a time from a small bag.
25. If a spinner has 5 sections and one section is labeled 'D', what is the probability of not landing on 'D'?
26. If the probability of an event is 0.25, what is the probability of the event not occurring?
27. A factory inspects 20 light bulbs. Each bulb is either defective or not defective, and each inspection is independent. Which probability model is most appropriate?
28. If you roll a dice 100 times, how many times do you expect it to roll a 1 or 2?
29. Simulation tools help to eliminate ..... from decision-making so that each event is equally likely to occur.
30. A certain brand of TV has a 50% chance of being defective. Which model could be used to determine the probability that when a TV is chosen, it will be defective?