STUDYSAGE
QMB 3200 UCF FINAL VOCAB|
DETAILED QUESTIONS WITH
AUTHENTIC/CORRECT ANSWERS|
ALREADY GRADED A |NEWEST
2025| GET A PASS ON YOUR FIRST
TRIAL.
Parameter - CORRECT 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 - CORRECT 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 - CORRECT ANSWERS✔️✔️The population from which the
sample is taken.
Sampling distribution - CORRECT ANSWERS✔️✔️A probability distribution
consisting of all possible values of a sample statistic.
Sample statistic - CORRECT ANSWERS✔️✔️A sample characteristic, such as a
sample mean bar(x), a sample standard deviation s, a sample proportion bar(p),
and so on. The value of the sample statistic is used to estimate the value of the
corresponding population parameter.
SUCCESS
, STUDYSAGE
Finite population correction factor - CORRECT ANSWERS✔️✔️the term
√((N-1)/(n-1)) that is used in the formulas for standard deviation of x bar and p
bar whenever a finite population, rather than an infinite population, is being
sampled. the generally expected rule of thumb is to ignore this when n/N ≤ .05
Simple random sample - CORRECT 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 - CORRECT ANSWERS✔️✔️The standard deviation of a point
estimator.
Point estimator - CORRECT ANSWERS✔️✔️The sample statistic, such as bar(x), s,
or bar(p), that provides the point estimate of the population parameter.
Central limit theorem - CORRECT ANSWERS✔️✔️A theorem that enables one to
use the normal probability distribution to approximate the sampling distribution
of bar(x) whenever the sample size is large.
Point estimate - CORRECT ANSWERS✔️✔️The value of a point estimator used in
a particular instance as an estimate of a population parameter.
Unbiased - CORRECT 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 - CORRECT ANSWERS✔️✔️Another name for an interval
estimate.
SUCCESS
QMB 3200 UCF FINAL VOCAB|
DETAILED QUESTIONS WITH
AUTHENTIC/CORRECT ANSWERS|
ALREADY GRADED A |NEWEST
2025| GET A PASS ON YOUR FIRST
TRIAL.
Parameter - CORRECT 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 - CORRECT 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 - CORRECT ANSWERS✔️✔️The population from which the
sample is taken.
Sampling distribution - CORRECT ANSWERS✔️✔️A probability distribution
consisting of all possible values of a sample statistic.
Sample statistic - CORRECT ANSWERS✔️✔️A sample characteristic, such as a
sample mean bar(x), a sample standard deviation s, a sample proportion bar(p),
and so on. The value of the sample statistic is used to estimate the value of the
corresponding population parameter.
SUCCESS
, STUDYSAGE
Finite population correction factor - CORRECT ANSWERS✔️✔️the term
√((N-1)/(n-1)) that is used in the formulas for standard deviation of x bar and p
bar whenever a finite population, rather than an infinite population, is being
sampled. the generally expected rule of thumb is to ignore this when n/N ≤ .05
Simple random sample - CORRECT 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 - CORRECT ANSWERS✔️✔️The standard deviation of a point
estimator.
Point estimator - CORRECT ANSWERS✔️✔️The sample statistic, such as bar(x), s,
or bar(p), that provides the point estimate of the population parameter.
Central limit theorem - CORRECT ANSWERS✔️✔️A theorem that enables one to
use the normal probability distribution to approximate the sampling distribution
of bar(x) whenever the sample size is large.
Point estimate - CORRECT ANSWERS✔️✔️The value of a point estimator used in
a particular instance as an estimate of a population parameter.
Unbiased - CORRECT 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 - CORRECT ANSWERS✔️✔️Another name for an interval
estimate.
SUCCESS
