Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
28 Cards in this Set
 Front
 Back
sampled population

the population from which a sample is taken


frame

a listing of the elements that the sample will be selected from


parameter

a numerical characteristic of a population, such as a population mean (mew), a population standard deviation (lowercase sigma), etc.


simple random sample

(finite population) a sample selected such that each possible sample size n has the same probability of being selected


sampling without replacement

once an element has been included in the sample, it is removed from the population an cannot be selected a second time


sampling with replacement

once an element has been included in the sample, it is returned to the population. previously selected element can be selected again


sample statistic

a sample characteristic, such as a sample mean (xbar)


point estimator

the sample statistic such as Xbar, stdev, or Pbar, that provides the point estimate of a population parameter


target population

the population for which statistical inferences such as point estimates are made. important to correspond as closely as possible to the sampled population


sampling distribution

a probability distribution consisting of all possible values of sample statistic


unbiased

a property of a point estimator that is present when the expected value point estimator is equal to the population parameter it estimates


finite population correction factor

the term used whenever a finite population is being sampled. ignore factor when n/N less than or equal to .05


standard error

the standard deviation of a point estimator


central limit theorem

a theorem that enables one to use the normal probability distribution to approximate the sampling distribution of xbar whenever the sample size is large


stratified random sampling

a probability sampling method in which the population is first divided into strata and a simple random sample is then taken from each stratum


cluster sampling

probability sampling method in which a population is first divided into clusters and a simple random sample of the clusters is taken


systematic sampling

sampling method in which we randomly select one of the first k elements and then select every kth element therafter


convenience sampling

nonprobability method of sampling whereby elements are selected for the sample on the basis of convenience


judgement sampling

a nonprobability method of sampling whereby elements are selected for the sample based on the judgement of the person doing the study


interval estimate

an estimate of a population parameter that provides an interval believed to contain the value of the parmeter. point estimate +/ margin of error


margin of error

the +/ value added to and subtracted from a point estimate in order to develop an interval estimate of a population parameter


std dev known

the case when historical data or other information provides a good value for the population standard deviation prior to taking a sample.


confidence level

the confidence associated with an interval estimate. percent of intervals formed using the procedure.


confidence coefficient

the confidence level expressed as a decimal value.


confidence interval

another name for an interval estimate


std dev unknown

the more common case when no good basis exists for estimating the population standard deviation prior to taking the sample


t distribution

a family of probability distributions that can be used to develop an interval estimate of a population mean whenever the std dev is unknown and is estimated by s


degrees of freedom

a parameter of the t distribution. equal to n1 where n is the sample size
