Exam 8: Random Sampling and Probability
Exam 1: Statistics and Scientific Method102 Questions
Exam 2: Basic Mathematical and Measurement Concepts110 Questions
Exam 3: Frequency Distributions116 Questions
Exam 4: Measures of Central Tendency and Variability125 Questions
Exam 5: The Normal Curve and Standard Scores105 Questions
Exam 6: Correlation139 Questions
Exam 7: Linear Regression101 Questions
Exam 8: Random Sampling and Probability123 Questions
Exam 9: Binomial Distribution121 Questions
Exam 10: Introduction to Hypothesis Testing: Using the Sign Test141 Questions
Exam 11: Power103 Questions
Exam 12: Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test135 Questions
Exam 13: Students T Test for Single Samples121 Questions
Exam 15: Introduction to the Analysis of Variance218 Questions
Exam 16: Introduction to the Two-Way Analysis of Variance115 Questions
Exam 17: Chi-Square and Other Nonparametric Tests170 Questions
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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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In order to generalize to the population a sample must be randomly selected.
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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. 

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A random sample results when each possible sample of a given size has an equal chance of being selected.
(True/False)
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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 _________.
(Multiple Choice)
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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: 

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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?


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