Imp. Chapter 4

Question 1

3 pillars

Answer 1

Random-divide into groups

Replication- red. var

Control- eliminate/control out. var

Question 2

Nonresponse bias

Answer 2

Majority of population didn’t answer

Question 3

Response bias

Answer 3

Pressure in sampling method

Question 4

Under coverage

Answer 4

When individuals in population are excluded from sampling

Question 5

Simple random sample

Answer 5

Number three population, choose sample by random

Use in experiments to divide evenly

Question 6

Stratified random sample

Answer 6

Split population into groups, then sample from each group

Question 7

Cluster

Answer 7

Split population into groups. Sample. Then choose ENTIRE groups to sample

Question 8

Systematic

Answer 8

Number the population, randomly choose a place then choose every _th person

Question 9

Multistage

Answer 9

Divide groups into equal areas and randomly choose areas

Question 10

Experiment key words:

Answer 10

Assigned/imposed treatments

Question 11

Completely randomized experiments

Answer 11

Simple random sample of experiments

Question 12

Block design

Answer 12

Stratified experiment

Question 13

Matched pair design

Answer 13

Same experimental unit of very similar through all treatments in random order

Question 14

Lurking confounding variable

Answer 14

A variable not among explanatory or response that effects outcome. Essentially outside variables

Question 15

More samples=?

Answer 15

Variability

Question 16

Statistical significance

Answer 16

The difference in % could not occur by chance alone

Question 17

Statistically insignificant

Answer 17

Could occur by chance alone

Question 18

The most important reason for random assignment is that

Answer 18

it’s a good way to make groups that are as similar as possible so comparisons can be made between the groups