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Sampling Techniques and Bias

Authored by Spencer LeDoux

Mathematics

12th Grade

Used 10+ times

Sampling Techniques and Bias
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15 questions

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1.

FILL IN THE BLANK QUESTION

1 min • 1 pt

What is the name of the entire group under consideration?

2.

FILL IN THE BLANK QUESTION

1 min • 1 pt

What is a smaller group taken from the larger group called?

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

This sampling technique numbers everyone in the population and then uses technology to generate random numbers that are chosen. Everyone in the population has an equal chance of being selected.

Simple Random Sample (SRS)

Cluster Sampling

Stratified Sampling

Systematic Sampling

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

This type of sampling groups people into cluster (usually by area). Some clusters are then randomly selected and everyone in the cluster is surveyed.

Simple Random Sampling

Cluster Sampling

Stratified Sampling

Systematic Sampling

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

This sampling method separates the population by naturally occurring groups (grades, race, etc), then random sampling is used to selected people from within every group.

Simple Random Sampling

Cluster Sampling

Stratified Sampling

Systematic Sampling

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

This sample technique uses population size and desired sample size to predetermine a systematic number (such as every 100th person). Then a random number generator is used to select the starting value. All other people in the sample are chosen by adding that systematic number to the starting value.

Simple Random Sampling

Cluster Sampling

Stratified Sampling

Systematic Sampling

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

If your sample is taken from only those who volunteer to take your survey, you might have more strong opinions represented. This is known as:

Voluntary response Bias

Undercoverage

Questionnaire Bias

Convenience Sampling

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