STAT 555 DL Workshop Three: Short Test

  1. Which of the following is a correct statement about a probability?
  2. It may range from 0 to 1.
  3. It may assume negative values.
  4. It may be greater than 1.
  5. It cannot be reported to more than 1 decimal place.
  6. all the above are correct.
  1. An experiment is:
  2. a collection of events.
  3. a collection of outcomes.
  4. always greater than 1.
  5. the act of taking a measurement or the observation of some activity.
  6. none of the above is correct.
  1. Which of the following is not a type of probability?
  2. Subjective
  3. Independent
  4. Relative frequency
  5. Classical
  1. Events are independent if:
  2. by virtue of one even happening another cannot.
  3. the probability of their occurrence is greater than 1.
  4. we can count the possible outcomes.
  5. the probability of one event happening does not affect the probability of another event happening.
  6. none of the above.
  1. Selection of raffle tickets from a large bowl is an example of:
  2. sampling with replacement
  3. sampling without replacement
  4. subjective probability
  5. none of the above
  1. The event of “picking a black king” from a deck of cards is an example of a:
  2. simple event
  3. joint event
  4. sample space
  5. complement of an event
  1. The Special Rule of Addition is used to combine:
  2. independent events
  3. mutually exclusive events
  4. events that total more than one
  5. events based on subjective probabilities
  6. found bu using joint probabilities
  1. We use the General rule of Multiplication to combine:
  2. events that are not independent.
  3. mutually exclusive events.
  4. events that total more than 1.00
  5. events based on subjective probabilities.
  6. events found by using joint probabilities.
  1. When we find the probability of an event happening by subtracting the probability of the event not happening from 1, we are using:
  2. subjective probability.
  3. the complement rule.
  4. the general rule of addition
  5. the special rule of multiplication
  6. joint probability
  1. Bayes’ Theorem:
  2. is a an example of subjective probability
  3. can assume a value less than 0
  4. is used to revise a probability based on new or additional information
  5. is found by applying the complement rule
  6. none of the above
  1. If eventsA and B cannot occur at the same time, then events A and B are said to be:
  2. Mutually exclusive
  3. Collectively exhaustive
  4. Statistically independent
  5. None of the above
  1. All the events that are not part of the event are called:
  2. the simple events
  3. the joint events
  4. the sample spaces
  5. the complement of the event
  1. When using the multiplication rule, P(A and B) is equal to:
  2. P(A/B)P(B)
  3. P(A/B)P(A)
  4. P(A)P(B)
  5. P(B)/P(A)
  6. P(A)/P(B)
  1. If either event A or event B must occur, then events A and B are said to be:
  2. Mutually exclusive
  3. Collectively exhaustive
  4. Statisticaly independent
  5. None of the above
  1. Simple probability is also called:
  2. Marginal probability
  3. Joint probability
  4. Conditional probability
  5. Bayes’’ theorem
  1. If an experiment consist of 5 results; P(O1)=0.10, P(O2)=0.20, P(O3)=0.30, P(O4)=0.40, then P(O5) is:
  2. 0.50
  3. 0.25
  4. 1.00
  5. 0.00
  1. If A and B are mutually exclusive events with P(A)=0.70, then P(B):
  2. can be any value between 0 and 1
  3. can be any value between 0 and 0.70
  4. cannot be larger than 0.30
  5. cannot be determined with the information given
  1. The collection of all possible events is called:
  2. a simple event
  3. a sample space
  4. a joint probability
  5. the null set
  1. If A and B are independent events with P(A)=0.60 and P(A/B)=0.60, then P(B) is:
  2. 1.20
  3. 0.60
  4. 0.36
  5. cannot be determine with the information given
  1. The intersection of events A and B is the event that occurs when:
  2. either A or B occurs
  3. neither A nor B occurs
  4. both A and B occur
  5. all the above
  1. The probability that event A gives event B is denoted by:
  2. P(A and B)
  3. P(A or B)
  4. P(A/B)
  5. P(B/A)
  1. An effective and simpler method of applying the probability rules is the:
  2. probability tree
  3. pie chart
  4. histogram
  5. stem-and-leaf display
  1. Bayes’ Theorem is used to compute the:
  2. prior probabilities
  3. probabilities of the intersection of two events
  4. probabilities of the union of two events
  5. posterior probabilities
  1. If A and B are any two events with P(A)=0.80 and P(B/A)=0.40, then the joint probability of A and B is:
  2. 0.80
  3. 0.40
  4. 0.32
  5. 1.20
  1. All the events in the sample space that are not part of the specified event are called:
  2. simple event
  3. joint events
  4. the sample space
  5. the complement of the event

STAT 555-DL W3 Short Test © Ana G. Méndez University System, 2011. All rights reserved. 1