Sampling Techniques 10-2

This sample consists of the entire population

• convenience
• census
• cluster
• simple

This sample consists of units of the population that are easily accessible.

• Cluster
• Convenience
• Volunteer
• Observational

This sample consists of units of the population that chose to respond.

• mandatory
• census
• volunteer
• unbiased

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.3

CCSS.HSS.IC.B.4

Every possible group of units of the required size has the same chance of being the selected sample as any other sample of the same size.

• Simple Random 
• Thoughtful
• Typical
• Proportional

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.3

This sample is selected by dividing the population into subgroups and then taking a fixed number of units from each group using the simple random sample.

• stratified
• cluster
• judgment
• experimental

Tags

CCSS.HSS.IC.B.3

Units of the population are ordered in some fashion.  Usually, every k-th unit is chosen.

• proportional
• probable
• stratified
• systematic

Tags

CCSS.HSS.IC.B.3

This method produces values that systematically differ from the population being sampled.

• valid sample
• variable sample
• biased sample
• cluster sample

Units of the population are grouped; one or more groups are selected at random.  All units of that group are included in the sample.

• cluster sample
• simple random
• stratified
• proportional

Tags

CCSS.HSS.IC.B.3

The conductor has no input or control over the environment in this situation

• census
• observational study
• experiment
• judgment

Tags

CCSS.HSS.IC.B.3

Cluster, stratified, simple random, systematic, and proportional are all types of 

• convenience samples
• biased samples
• haphazard samples
• unbiased samples

Tags

CCSS.RL.11-12.6