UCF QMB 3200 MAKEUP EXAM (MOD 2-
5) QUESTIONS COMPLETE WITH 100%
VERIFIED ANSWERS
\.stratified random sampling - ANSWERS✔-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 - ANSWERS✔-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 - ANSWERS✔-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 - ANSWERS✔-The population from which the sample is
taken.
\.Sampling distribution - ANSWERS✔-A probability distribution consisting of all
possible values of a sample statistic.
, \.sampled statistic - ANSWERS✔-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 - ANSWERS✔-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 - ANSWERS✔-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 - ANSWERS✔-The standard deviation of a point estimator.
\.point estimator - ANSWERS✔-The sample statistic, such as x¯, s, or p¯, that
provides the point estimate of the population parameter.
\.Central Limit Theorem - ANSWERS✔-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 - ANSWERS✔-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 - ANSWERS✔-Another name for an interval estimate.
5) QUESTIONS COMPLETE WITH 100%
VERIFIED ANSWERS
\.stratified random sampling - ANSWERS✔-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 - ANSWERS✔-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 - ANSWERS✔-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 - ANSWERS✔-The population from which the sample is
taken.
\.Sampling distribution - ANSWERS✔-A probability distribution consisting of all
possible values of a sample statistic.
, \.sampled statistic - ANSWERS✔-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 - ANSWERS✔-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 - ANSWERS✔-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 - ANSWERS✔-The standard deviation of a point estimator.
\.point estimator - ANSWERS✔-The sample statistic, such as x¯, s, or p¯, that
provides the point estimate of the population parameter.
\.Central Limit Theorem - ANSWERS✔-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 - ANSWERS✔-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 - ANSWERS✔-Another name for an interval estimate.
