methods of sampling
4 principals of experimental design
bad questions
good questions
bias and definitions
100

divide into groups, simple random sample group members using proportionate percents

stratified random sampling

100

comparing 2 or more treatments

comparison

100

1

jargon

100

1

simple

100

the entire group of individuals that a study aims to gather info about

population

200

organize into groups, simple random sample twice

multi-stage random sampling

200

use chance to assign units to treatments

random assignment

200

2

abbreviations

200

2

specific

200

when someone refuses to take survey or cant be reached

non response bias

300

everyone is chose independantly

simple random sampling
300

keep other variables the same

control

300

3

negatives

300

3

relevent

300

when one type of respondent is over represented because sizes are polled equally

household bias

400

randomly choose a starting point, and select every nth person

systematic random sampling

400

use enough units

replication

400

4

leading respondants

400

4

readable

400

chosen sample does not accurately represent the population

define sampling bias

500

group population, simple random sample groups, then sample all members from the group

cluster random sampling

500

grouping similar units together

blocking

500

5

insensitivity

500

part of a population that is examined to gather information

sample

500

anything in the survey that could influence response

response bias

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