1. A continuous probability distribution that is useful in describing the time, or space, between occurrences of an event is a(n) _____ probability distribution. A. exponential
2. A graphical method of representing the sample points of an experiment is a A. tree diagram.
3. A method of assigning probabilities based upon judgment is referred to as the _____ method. A. subjective
4. A negative value of z indicates A. the number of standard deviations an observation is to the left of the mean.
5. A normal probability distribution A. can have a mean of any numerical value.
6. A normal probability distribution A. is a continuous probability distribution.
7. A numerical description of the outcome of an experiment is called a A. random variable.
8. A probability distribution showing the probability of x successes in n trials, where the probability of success does not change from trial to trial, is termed a A. binomial probability distribution.
9. A random variable that can assume only a finite number of values is referred to as a(n)
finite sequence A. discrete random variable
10. According to Perfect Payday, Jeffrey Rich was A. CEO of Affiliated Computer Services
11. According to the article in this Module, the probability of winning a prize at the in-store A. .25
12. An experiment consists of four outcomes with P(E1) = 0.3, P(E2) = 0.35, and P(E3) = 0.05. Find the probability of outcome E4. A. 0.300
13. An exponential probability distribution A. is a continuous distribution.
14. Bayes’ theorem is used to compute A. the posterior probabilities.
15. Consider the experiment of selecting a playing card from a deck of 52 playing cards. A typical deck of playing cards contains cards labeled with four different suits (clubs, diamonds, hearts, spades). Each suit consists of 13 cards which include three face cards (jack, queen, king), the ace, and cards labeled 2 through 10. What is the probability of pulling a king or a spade? A. 16/52
16. Each individual outcome of an experiment is called A. sample point.
17. Events that have no sample points in common are which of the following? A. mutually exclusive events
18. From a group of seven people, two individuals are to be selected at random. How many selections are possible? A. 21
19. If two events are independent, then A. the product of their probabilities gives their intersection.
20. If A and B are independent events with A. 0.320
21. If A and B are independent events with P(A) = 0.2 and P(B) = 0.2, find P(A ∩ B). A. 0.04
22. If A and B are mutually exclusive events with A. 0.85
23. If A and B are mutually exclusive events with P(A) = 0.1 and P(B) = 0.5, find P(A ∩ B). A. 0.00
24. If P(A) = 0.4, P(B|A) = 0.45, P(A ∪ B) = 0.67, find P(B). A. 0.45
25. If P(A) = 0.57, P(B) = 0.47, and P(A ∩ B) = 0.23, find P(A ∪ B). A. 0.81
26. In a standard normal distribution, the A. mean is 0 and the standard deviation is 1.
27. Larger values of the standard deviation result in a normal curve that is A. wider and flatter.
28. Of the last 100 customers entering a computer shop, 45 have purchased a computer. If the classical method for computing probability is used, find the probability that the next customer will purchase a computer. A. 0.50
29. Posterior probabilities are _____ probabilities. A. conditional
30. Revised probabilities of events based on additional information are _____ probabilities. A. posterior
31. The binomial probability distribution is used with a(n) _____ random variable. A. discrete
32. The center of a normal curve A. is the mean of the distribution.
33. The collection of all possible sample points in an experiment is A. the sample space.
34. The counting rule that is used for counting the number of experimental outcomes when n objects are selected from a set of N objects where order of selection is not important is called the rule for A. combinations.
35. The function that defines the probability distribution of a continuous random variable is a A. probability density function
36. The highest point of a normal curve occurs at A. the mean.
37. The number of customers that enter a store during one day is an example of
either a continuous or a discrete random variable, depending on the gender of the customers. A. a discrete random variable.
38. The probability of an event is the _____ of the probabilities of the sample points in the event. A. sum
39. The probability that a continuous random variable takes any specific value A. is equal to zero
40. The range of probability values is A. 0 to 1.
41. The standard deviation of a normal distribution. A. cannot be negative.
42. The z score for the standard normal distribution A. can be either negative or positive.
43. There is a lower limit but no upper limit for a random variable that follows the _____ probability distribution A. exponential
44. Two events with nonzero probabilities A. can not be both mutually exclusive and independent.
45. What is a collection of sample points called? A. event
46. What probability distribution can be described by just one parameter? A. exponential
47. When the assumption of equally likely outcomes is used to assign probability values, the method used to assign probabilities is referred to as the _____ A. classical
48. When the results of experimentation or historical data are used to assign probability values, the method used to assign probabilities is referred to as the _____ method. A. relative frequency
49. Which of the following is a characteristic of an experiment where the binomial probability distribution is applicable? A. Exactly two outcomes are possible on each trial.
50. Which of the following is not a characteristic of the normal probability distribution? A. 99.72% of the time the random variable assumes a value within plus or minus 1 standard deviation of its mean.
51. Which of the following statements is always true? A. P(A) = 1 − P(A^c)
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