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MCQs

Total Questions : 64 | Page 3 of 7 pages
Question 21. The previous probabilities in Bayes Theorem that are changed with the help of new available information are classified as
  1.    independent probabilities
  2.    posterior probabilities
  3.    interior probabilities
  4.    dependent probabilities
 Discuss Question
Answer: Option B. -> posterior probabilities
Answer: (b).posterior probabilities
Question 22. The conditional probability of two events Y and Z written as P(Z|Y) = P(Y and Z) ⁄ P(A) shows that the events are
  1.    statistically dependent events
  2.    descriptive unaffected events
  3.    statistically independent events
  4.    statistically unaffected events
 Discuss Question
Answer: Option A. -> statistically dependent events
Answer: (a).statistically dependent events
Question 23. The payments received by cheques or cash is an example of
  1.    numerical outcome
  2.    non numerical outcome
  3.    random outcome
  4.    simple outcome
 Discuss Question
Answer: Option B. -> non numerical outcome
Answer: (b).non numerical outcome
Question 24. If in an experiment the A and B are two events, then the occurrence of event A or B simultaneously is represented by
  1.    A intersection B
  2.    A + B
  3.    A - B
  4.    A union B
 Discuss Question
Answer: Option A. -> A intersection B
Answer: (a).A intersection B
Question 25. If the number of outcomes in collection are 2 and the distinct outcomes are 4 then the count value according to permutations is
  1.    2
  2.    12
  3.    24
  4.    4
 Discuss Question
Answer: Option C. -> 24
Answer: (c).24
Question 26. If two events G and H are classified as joint events then the events are represented as
  1.    G * H
  2.    G + H
  3.    G intersection H
  4.    G union H
 Discuss Question
Answer: Option C. -> G intersection H
Answer: (c).G intersection H
Question 27. Considering the events Y and Z, the occurrence of Z and the non-occurrence of Y is represented by
  1.    Y-bar union Z
  2.    Z-bar union Y
  3.    Y-bar intersection Z
  4.    Z-bar intersection Y
 Discuss Question
Answer: Option C. -> Y-bar intersection Z
Answer: (c).Y-bar intersection Z
Question 28. The number of favorable occurrences are divided by the total number of possible occurrences to calculate
  1.    probability of an event
  2.    total outcomes of an event
  3.    sample space of experiment
  4.    none of the above
 Discuss Question
Answer: Option A. -> probability of an event
Answer: (a).probability of an event
Question 29. The sample space for the experiment in which two coins are tossed is
  1.    4
  2.    8
  3.    2
  4.    10
 Discuss Question
Answer: Option A. -> 4
Answer: (a).4
Question 30. The type of probability approach in which the event A is the ratio explaining the number of times event A is occurred in experiments is classified as
  1.    counted probability distribution
  2.    relative frequency approach
  3.    irrelative frequency approach
  4.    fixed probability distribution
 Discuss Question
Answer: Option B. -> relative frequency approach
Answer: (b).relative frequency approach

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