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UCF QMB 3200 Makeup Exam (Mod 2-5) Questions And Answers.docx

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UCF QMB 3200 Makeup Exam (Mod 2-5) Questions And A

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UCF QMB 3200 Makeup Exam (Mod 2-5)
Questions And Answers
stratified random sampling -
correct answer ✅A form of probability sampling; a random
sampling technique in which the researcher identifies particular
demographic categories of interest and then randomly selects
individuals within each category.


Parameter -
correct answer ✅A numerical characteristic of a population, such
as a population mean μ, a population standard deviation σ, a
population proportion p, and so on.


Target Population -
correct answer ✅The population for which statistical inferences
such as point estimates are made. It is important for the target
population to correspond as closely as possible to the sampled
population.


Sampled Population -
correct answer ✅The population from which the sample is taken.


Sampling distribution -
correct answer ✅A probability distribution consisting of all
possible values of a sample statistic.

,UCF QMB 3200 Makeup Exam (Mod 2-5)
Questions And Answers

sampled statistic -
correct answer ✅A sample characteristic, such as a sample mean
x¯, a sample standard deviation s, a sample proportion p¯, and so
on.


finite population correction factor -
correct answer ✅Definition: The term (N-n)/(N-1) that is used in
the formulas for σx¯ and σp¯ whenever a finite population, rather
than an infinite population, is being sampled. The generally
accepted rule of thumb is to ignore the finite population correction
factor whenever n/N≤.05.


simple random sampling -
correct answer ✅A simple random sample of size n from a finite
population of size N is a sample selected such that each possible
sample of size n has the same probability of being selected.


standard error -
correct answer ✅The standard deviation of a point estimator.

, UCF QMB 3200 Makeup Exam (Mod 2-5)
Questions And Answers
point estimator -
correct answer ✅The sample statistic, such as x¯, s, or p¯, that
provides the point estimate of the population parameter.


Central Limit Theorem -
correct answer ✅A theorem that enables one to use the normal
probability distribution to approximate the sampling distribution of
x¯ whenever the sample size is large.


point estimate unbiased -
correct answer ✅A property of a point estimator that is present
when the expected value of the point estimator is equal to the
population parameter it estimates.


confidence interval -
correct answer ✅Another name for an interval estimate.


margin of error -
correct answer ✅The ± value added to and subtracted from a
point estimate in order to develop an interval estimate of a
population parameter.

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