UCF QMB 3200 FINAL EXAM
QUESTIONS AND ANSWERS 2024
GRADED A+.
2 / 14
1. Doubling the size of the sample will: reduce the standard error of the mean
2. The sample mean is the point estimator of: U
3. A simple random sample of size n from an infinite population of size N is tobe selected. Each
...
UCF QMB 3200 FINAL EXAM
QUESTIONS AND ANSWERS 2024
GRADED A+.
,1. Doubling the size of the sample will: reduce the standard error of the mean
2. The sample mean is the point estimator of: U
3. A simple random sample of size n from an infinite population of size N is tobe selected. Each
possible sample should have: the same probability of being selected
4. Which of the following statements regarding the sampling distribution of sample means is
incorrect?: The standard deviation of the sampling distributionis the standard deviation of the
population.
5. A simple random sample of size n from an infinite population is a sample selected such that:
each element is selected independently and is selected fromthe same population
6. The fact that the sampling distribution of sample means can be approximat-ed by a normal
probability distribution whenever the sample size becomes large is based on the: central limit
theorem.
7. Cluster sampling is: a probability sampling method.
8. The central limit theorem states that: if the sample size n is large, then the sam-pling distribution of
the sample mean can be approximated by a normal distribution.
9. The value of the is used to estimate the value of the populationparameter:
sample statistic
10. The sampling distribution of is the: probability distribution of all possiblevalues of the
sample proportion.
11. Which of the following is not a symbol for a parameter?: S.
12. The sample statistic characteristic s is the point estimator of: Ã..
13. The distribution of values taken by a statistic in all possible samples of thesame size from the
same population is called a: sampling distribution.
14. Which of the following is a point estimator?: S.
15. As a rule of thumb, the sampling distribution of the sample proportion can be approximated b
a normal probability distribution when: n(1 - p) e 5 and np e5.
16. A sample of 92 observations is taken from an infinite population. The sampling
distribution of is approximately: normal because of the central limittheorem.
17. The central limit theorem is important in Statistics because it enables reasonably accurate
, probabilities to be determined for events involving the sample average: when the sample size is
large regardless of the distribution of thevariable.
18. 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: Thesample
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