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Multiple Choice
A) A random sample of 100 is taken from a population in which the proportion with the trait of interest is 0.98.
B) A random sample of 50 is taken from a population in which the proportion with the trait of interest is 0.50.
C) A binomial experiment is done with n = 500 and p = 0.9.
D) The Rule for Sample Proportions would apply in all of the situations in A, B and
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Multiple Choice
A) The Rule for Sample Proportions follows from the Central Limit Theorem by defining each observation in the sample to be either 1 or 0.
B) The Central Limit Theorem is a special case of the Rule for Sample Proportions.
C) There is no relationship because the Central Limit Theorem is about means and the Rule for Sample Proportions is about proportions.
D) The Central Limit Theorem is just a restatement of the Rule for Sample Proportions.
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Multiple Choice
A) Yes
B) No
C) Cannot be determined
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Multiple Choice
A) -2
B) -1
C) -0.25
D) -1.25
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Multiple Choice
A) Each person is measured twice.
B) Similar individuals are paired prior to an experiment. Each individual in a pair receives a different treatment.
C) Two different variables are measured for each person.
D) Two independent samples are selected and the same response variable is compared between samples.
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Multiple Choice
A)
B)
C) -
D) 1 - 2
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Multiple Choice
A) < 0.0001
B) 0.0136
C) 0.0582
D) 0.9864
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Multiple Choice
A) -3.75
B) 0.375
C) 1.50
D) 2.50
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Multiple Choice
A) Statistic
B) Parameter
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Multiple Choice
A) 0.0011
B) 0.0338
C) 0.0553
D) 0.6000
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Short Answer
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Multiple Choice
A) - = 1/3
B) - = 0
C) - = 1/3
D) None of the above.
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Short Answer
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Multiple Choice
A) The standard error measures the variability of a population parameter.
B) The standard error of a sample statistic measures, roughly, the average difference between the values of the statistic and the population parameter.
C) Assuming a fixed value of s = sample standard deviation, the standard error of the mean decreases as the sample size increases.
D) The standard error of a sample proportion decreases as the sample size increases.
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Essay
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