1. A management information system (mis) provides managers with ________ data.
Answer
Correct Answer:
Provides information, typically in reports, that supports effective decision making and provides feedback on daily operations
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2. If a firewall receives a suspicious packet, the firewall will ________.
Answer
Correct Answer:
None of the above
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3. A research ____ is a general approach that is intended to address a specific question.
Answer
Correct Answer:
Strategy
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4. The SD of a binomial distribution is the square root of the variance.
Answer
Correct Answer:
True
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5. A binomial probability distribution is constructed for fixed variables that have at least two possible outcomes.
Answer
Correct Answer:
False
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6. The expected outcome is the sum of the products for each random outcome multiplied by the probability of its occurrence.
Answer
Correct Answer:
True
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7. The multiplicative rule is used for conditional outcomes.
Answer
Correct Answer:
False
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8. The additive rule is used to define mutually exclusive outcomes.
Answer
Correct Answer:
True
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9. A researcher records the number of interviews a person has to attend before landing a successful jo She finds that the probability of landing a job after one interview is p = .14; two interviews is p = .36; three interviews is p = .32; and four interviews is p = .10. What is the probability that a person lands a job after at least two interviews?
Answer
Correct Answer:
.50
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10. The probability of Sam studying for an exam is p = .35. The probability of Sam studying for the exam and earning an A on the exam is p = .20. Hence, the probability of Sam earning an A on the exam, given that he has studied is:
Answer
Correct Answer:
P = .57.
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11. A bag has 10 blue chips, 10 red chips, 10 green chips, and 10 white chips. The probability of blindly picking a red and green chip in one try will be:
Answer
Correct Answer:
.06.
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12. A researcher determines that the probability of winning of a new outcome in his experiment is p = .45. Assuming that a new and old outcome are mutually exclusive events, the probability of an old or new outcome would be:
Answer
Correct Answer:
1.00.
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13. The following are six random outcomes for a sample space: −.25, −.5, −.5, −.5, −.5, and −.6. What is the probability of selecting a −.5 in this example?
Answer
Correct Answer:
4/6
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14. If there are four Aces in a deck of 52 cards, then what is the probability of selecting one Ace on a single draw from the deck of cards?
Answer
Correct Answer:
4/52
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15. Which of the following is a characteristic of probability?
Answer
Correct Answer:
Probability varies between 0 and 1.
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16. A poll showed that students had no preference among four times during which a class was offere In this case, the probability of any specific time would be:
Answer
Correct Answer:
1/4.
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17. The probability of an outcome or event is:
Answer
Correct Answer:
The fraction of times an outcome is likely to occur.
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18. A measure of variability for the average squared distance that outcomes for a given random variable deviate from the expected value or mean of a probability distribution is known as_____
Answer
Correct Answer:
Variance of a Probability Distribution
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19. Standard Deviation of a Probability Distribution is calculated by taking the_____ of the variance of a probability distribution.
Answer
Correct Answer:
Square root
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20. Standard Deviation of a Probability Distribution is calculated by taking the_____ of the variance of a probability distribution.
Answer
Correct Answer:
Square root
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21. The total number of possible outcomes that can occur in a given random event is known as_____
Answer
Correct Answer:
Both a and b
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22. Random Event is any event in which the outcomes observed are fixed.
Answer
Correct Answer:
False
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23. The sum of probabilities in a probability distribution is equal to_____
Answer
Correct Answer:
1.00
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24. Probability is the frequency of times an outcome occurs divided by the_____
Answer
Correct Answer:
Total number of possible outcomes
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25. Outcome Space is the total number of possible outcomes that can occur in a given random event.
Answer
Correct Answer:
True
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26. The probability of two mutually exclusive outcomes occurring together is _____
Answer
Correct Answer:
0
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27. Multiplicative Rule states that when two outcomes for a given event are independent, the probability that both outcomes occur is equal to the _____ of their individual probabilities.
Answer
Correct Answer:
Product
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28. Multiplicative Rule states that when two outcomes for a given event are independent, the probability that both outcomes occur is equal to the _____ of their individual probabilities.
Answer
Correct Answer:
Product
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29. Multiplicative Law states that when two outcomes for a given event are independent, the probability that both outcomes occur is equal to the _____ of their individual probabilities.
Answer
Correct Answer:
Product
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30. Mathematical Expectation is the expected outcome of a random variable that is the sum of the products for each random outcome _____ by the probability of its occurrence.
Answer
Correct Answer:
Multiplied
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31. A probability relationship where the probability of one outcome does not affect the probability of the second outcome is known as_____
Answer
Correct Answer:
Independent Outcome
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32. Fixed event is any event in which the outcome observed is always the same.
Answer
Correct Answer:
True
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33. Expected Value is the expected outcome of a random variable that is the sum of the products for each random outcome _____ by the probability of its occurrence.
Answer
Correct Answer:
Multiplied
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34. Dichotomous Variable is also known as_____
Answer
Correct Answer:
Bivariate Variable
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35. A probability relationship where the probability of one outcome is dependent on the occurrence of the other outcomes is known as_____
Answer
Correct Answer:
Both a and b
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36. A probability relationship where the probability of one outcome is dependent on the occurrence of the other outcomes is known as_____
Answer
Correct Answer:
Both a and b
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37. Complementary Outcomes is a probability relationship where the sum of the probabilities for two outcomes is equal to_____
Answer
Correct Answer:
1
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38. Bivariate Random Variable is any random variable with only _____ possible outcomes.
Answer
Correct Answer:
Two
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39. Bivariate Random Variable is any random variable with only _____ possible outcomes.
Answer
Correct Answer:
Two
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40. Binomial Probability Distribution is the distribution of probabilities for each outcome of a_____variable.
Answer
Correct Answer:
Bivariate Random
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41. Binomial Distribution is the distribution of probabilities for each outcome of a_____variable.
Answer
Correct Answer:
Bivariate Random
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42. A mathematical formula that relates the conditional and marginal (unconditional) probabilities of two conditional outcomes that occur at random is known as_____
Answer
Correct Answer:
Bayes’s Law
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43. _____ states that when two outcomes for a given event are mutually exclusive, the probability that any one of these outcomes occurs is equal to the sum of their individual probabilities.
Answer
Correct Answer:
Additive Law
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Statistics (Social And Behavioral Sciences) MCQs | Topic-wise
