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Probability Distributions and Inferential Testing MCQ

Probability Distributions and Inferential Testing MCQ

 

1. Score from the standard normal probability distribution that indicates how many standard deviation units a score is from the mean of zero is known as ______

Answer

Correct Answer: Both a and c

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2. Probability distribution of a sample statistic drawn from a very large number of samples from some given population is known as ______

Answer

Correct Answer: Sampling Distribution

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3. If two events are independent of each other, the probability of event A occurring and event B occurring is equal to the product of their _____ probabilities is known as Restricted Multiplication Rule of probabilities.

Answer

Correct Answer: Separate

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4. According to Restricted addition Rule of probabilities if two events are mutually exclusive, the probability of event A occurring or event B occurring is equal to the _____ of their separate probabilities.

Answer

Correct Answer: Sum

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5. Distribution of all possible outcomes of a trial and the associated probability of each outcome is known as Probability Distribution.

Answer

Correct Answer: True

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6. In a hypothesis test, the null hypothesis is the hypothesis that is initially assumed to be_____.

Answer

Correct Answer: True

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7. Mutually Exclusive events are the events that cannot occur at the same time. In other words, there is no intersection of mutually exclusive events so their joint probability is equal to_____.

Answer

Correct Answer: Zero

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8. Statistical tools for estimating how likely it is that a statistical result based on data from a random sample is representative of the population from which the sample has been selected is known as ______

Answer

Correct Answer: Inferential Statistics

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9. When two events are independent, knowledge of one event helps predict the probability of the other event occurring.

Answer

Correct Answer: False

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10. According to General rule of Multiplication Rule of Probabilities if two events are not independent of each other, the probability of event A occurring and event B occurring is equal to the _____ of the unconditional probability of event A and the conditional probability of event B given A.

Answer

Correct Answer: Product

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11. According to general Addition Rule of Probabilities if two events are not mutually exclusive, the probability of event A occurring or event B occurring is equal to the sum of their separate probabilities _____ their joint probability.

Answer

Correct Answer: Minus

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12. Statistics used to describe the distribution of a sample or population is known as ______

Answer

Correct Answer: Descriptive Statistics

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13. Region set by the alpha level to determine the rejection region for a _____ hypothesis test.

Answer

Correct Answer: Null

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14. Conditional Probability is the probability of one event occurring (A) given that another event has occurred (B), written as_____

Answer

Correct Answer: P(A/B)

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15. Complement of event A is the set of all outcomes of a sample space that are not A. It is calculated as _____

Answer

Correct Answer: 1 – P(A)

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16. Central Limit Theorem is a statistical theorem that states that the sampling distribution of any statistic will approximate normality as the sample size_____.

Answer

Correct Answer: Increases

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17. According to the Bounding rule of Probabilities the probability of any event can never be ______

Answer

Correct Answer: Both a and b

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18. Binomial distribution is probability distribution for which there are just two possible outcomes with fixed probabilities that sum to _____

Answer

Correct Answer: 1.0

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