Sampling & Sampling Dist.

Question 1

Sampling error

Answer 1

Difference between an estimate (sample statistic) of a pop. parameter and the true (unknown) value of that parameter

Question 2

sampled population

Answer 2

population from which the sample is drawn

Question 3

frame

Answer 3

list of the elements that the sample will be selected from

Question 4

Simple random sample

Answer 4

a sample selected such that each possible sample of size n has the same probability of being selected

Question 5

sampling w/ replacement

Answer 5

subject can possibly be selected more than once

Question 6

sampling w/o replacement

Answer 6

selected subject will not be in the pool for selection

Question 7

random sample

Answer 7

random sample of size n from an infinite pop is a sample selected such that each element selected comes from the same population and each element is selected independently

Question 8

infinite population

Answer 8

typically means that elements are created by an ongoing process, so we cannot create a frame

Question 9

point estimation

Answer 9

the actual statistical procedure

Question 10

point estimators

Answer 10

things like sample mean, sample standard, etc

Question 11

point estimates

Answer 11

the actual numerical values of the point estimates

Question 12

sampling distribution

Answer 12

after selecting a rand sample and an estimator of interest, the probability dist. of the estimator of interest (Rand. var.) is the sampling distribution

it is the probability distribution of all possible values of the sample mean (x bar)

Question 13

unbiased estimators

Answer 13

a point estimator is unbiased if the expected value of this estimator = the pop. parameter

Question 14

central limit theorem

Answer 14

in selecting random samples of size n from a pop, the sampling dist of the sample mean x bar can be approximated by a normal dist. as the same size becomes large