Understanding Sampling Methods

Understanding Sampling Methods

Assessment

Interactive Video

Mathematics

6th - 8th Grade

Hard

Created by

Jennifer Brown

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a sample in the context of statistical analysis?

A random selection of individuals

A biased selection of individuals

The entire population being studied

A subgroup representing the entire population

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a characteristic of a simple random sample?

It only includes volunteers

It selects every nth member of the population

Each member of the population has an equal chance of being selected

It divides the population into groups

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does a stratified random sample differ from a simple random sample?

It selects every nth individual

It divides the population into non-overlapping groups and samples from each

It divides the population into overlapping groups

It selects individuals based on convenience

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a systematic random sample?

A sample where individuals volunteer to participate

A sample where every nth individual is selected

A sample that includes only easily accessible individuals

A sample that divides the population into groups

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a convenience sample?

A sample that divides the population into groups

A sample that includes only volunteers

A sample that is representative of the entire population

A sample that includes easily accessible members of the population

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is a voluntary response sample considered biased?

It includes only those who are easily accessible

It divides the population into groups

It includes only those who choose to participate

It selects every nth individual

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the hardware store example, why is the sample considered biased?

It is a simple random sample

It divides customers into groups

It relies on customers choosing to call in

It includes every customer

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