chapter 8: producing data sampling

Question 1

Undercoverage bias

Answer 1

when segments of the population are unable to participate

Question 2

population

Answer 2

all the individuals the researchers are interested in

Question 3

stratified random sample

Answer 3

when a population is split into subgroups from which SRS’s are drawn

Question 4

SRS

Answer 4

Simple random sample - all samples of the same size have the same chance of being selected

Question 5

sampling design

Answer 5

describes exactly how to choose a sample from the population

Question 6

describes exactly how to choose a sample from the population

Answer 6

to say exactly what population we want to describe

Question 7

nonresponse

Answer 7

to say exactly what population we want to describe

Question 8

sample

Answer 8

the individuals from whom information was obtained

Question 9

A characteristic of a simple random sample that sets it apart from other samples is that

Answer 9

every sample of the same size has the same chance to be selected

Question 10

statistical inference

Answer 10

using a sample to make conclusions about a population

Question 11

random sample (as opposed to SRS)

Answer 11

each individual has the same chance of being selected

Question 12

convenience sample

Answer 12

a sample selected by taking the members of the population that are easiest to reach

Question 13

Voluntary Response Sample

Answer 13

consists of people who choose themselves by responding to a broad appeal. Voluntary response samples are biased because people with strong opinions are most likely to respond.