Exam 8: Random Sampling and Probability

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Let's assume you are having a party and have stocked your refrigerator with beverages. You have 12 bottles of Coors beer, 24 bottles of Rainier beer, 24 bottles of Schlitz light beer, 12 bottles of Hamms beer, 2 bottles of Heineken dark beer and 6 bottles of Pepsi soda. You go to the refrigerator to get beverages for your friends. In answering the following question assume you are randomly sampling without replacement. What is the probability the first bottle selected is a Coors beer?

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If a set of events is exhaustive, they only constitute a part of the possible events.

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The Multiplication Rule states _________.

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A priori probability refers to _________.

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Probabilities vary between _________.

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In order to generalize to the population a sample must be randomly selected.

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Define sampling with replacement.

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The Addition Rule concerns one of several possible events.

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Define probability of occurrence of both A and B.

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Hypothesis testing is part of inferential statistics while parameter estimation is used in descriptive statistics.

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To use a random number table properly one must begin on the top left hand column and read across.

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A store that sells health foods, has 16 different types of flour. Four of the flours are white and the rest are brown. Assume sampling with replacement. A store that sells health foods, has 16 different types of flour. Four of the flours are white and the rest are brown. Assume sampling with replacement.

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Probability values range from 0 to 1.

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A random sample results when each possible sample of a given size has an equal chance of being selected.

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If p ( A ) p ( B | A ) = p ( A ) p ( B ), then A and B must be _________.

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If events A and B are independent, then p ( A and B ) = _________.

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Assume you are rolling two fair dice once . The probability of obtaining at least one 3 or one 4 equals _________.

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A normally distributed continuous variable has a value of µ = 60 and s = 14. If one draws a score from the distribution, what is the probability that it will be: A normally distributed continuous variable has a value of µ = 60 and s = 14. If one draws a score from the distribution, what is the probability that it will be:

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If two events are mutually exclusive, they must be dependent.

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Prior to taking an exam of 5 true or false items, assume (as ludicrous as this seems) that you did not have a chance to study. Assume further that you just have to guess on each item with the resulting probability of getting any item correct is .50. What is the probability for each of the following outcomes? Prior to taking an exam of 5 true or false items, assume (as ludicrous as this seems) that you did not have a chance to study. Assume further that you just have to guess on each item with the resulting probability of getting any item correct is .50. What is the probability for each of the following outcomes?

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