Naming different sampling methods

Question 1

Bias

Answer 1

statistic from the sample collection is systemically skewed from the parameter of the population

Question 1

Sample Variability

Answer 1

How much an estimate varies between different samples. Happens naturally from using different sampling methods polling different things.

Question 2

Population

Answer 2

What group we want to know more about

Question 3

Sample

Answer 3

Representative subset of population

Question 4

Voluntary response

Answer 4

When the sample is made by those who elect to take part in the survey

Question 5

Convenience

Answer 5

Not everyone has an equally likely chance of being in the sample

Question 6

Undercoverage

Answer 6

When a part of the overall population is left out of the sample

Question 7

Why not a census?

Answer 7

1. Long time
2. Expensive
3. Population can change

Question 8

Non-response

Answer 8

Participants are unwilling or unable to be part of the sample

Question 9

Response

Answer 9

Participants are likely to respond falsely

Question 10

Biased wording

Answer 10

Wording of questions influences accuracy of survey.

Question 11

Simple random

Answer 11

Everyone equally likely to be selected

Question 12

Stratified

Answer 12

Group in similar groups and randomly sample from each group

Question 13

Cluster

Answer 13

Group in similar groups and sample an entire group

Question 14

Systematic

Answer 14

Survey every nth

Question 15

Multistage

Answer 15

combining mutiple types

Question 16

Voluntary

Answer 16

people voluntary submit their answer

Question 17

Convenience

Answer 17

Only polling subjects near you