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UCF QMB 3200 Final Exam Test Questions and Answers (Verified Answers) 1.A simple random sample of size n from an infinite population of size N is to be selected. Each possible sample should have
: ANS the same probability of being selected
2.Which of the following statements regarding the sampling distribution of sample means is incorrect ANS The standard deviation of the sampling distribution is the standard deviation of the population.
3.A simple random sample of size n from an infinite population is a sample selected such that
: ANS each element is selected independently and is selected from the
same population 4.The fact that the sampling distribution of sample means can be approximat- ed by a normal probability distribution whenever the sample 1 / 4
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size becomes large is based on the
: ANS central limit theorem.
5.The value of the is used to estimate the value of the population parameter
ANS: sample statistic
6.The sampling distribution of is the
: ANS probability distribution of all possible values of the sample
proportion.
7.Which of the following is not a symbol for a parameter
ANS S.
8.The sample statistic characteristic s is the point estimator of
ANS: Ã..
9.The distribution of values taken by a statistic in all possible samples of 2 / 4
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the same size from the same population is called a
: ANS sampling distribution.
10.Which of the following is a point estimator
ANS S.
11.As a rule of thumb, the sampling distribution of the sample proportion can be approximated by a normal probability distribution when
ANS: n(1 - p) e 5 and np e 5.
12.A sample of 92 observations is taken from an infinite population. The sampling distribution of is approximately
: ANS normal because of the central limit theorem.
13.The central limit theorem is important in Statistics because it enables reasonably accurate probabilities to be determined for events involving the sample average
: ANS when the sample size is large regardless of the distribution of the
variable. 3 / 4
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14.The distribution of values taken by a statistic in all possible samples of the same size from the same population is the sampling distribution of
ANS: The sample
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