Sampling Methods and Bias in Research

Sampling Methods and Bias in Research

Assessment

Interactive Video

Created by

Liam Anderson

Mathematics, Education

6th - 8th Grade

Hard

The video tutorial explains how to use samples to estimate population parameters, emphasizing the importance of random sampling to reduce bias. It distinguishes between population and sample, parameter and statistic, and discusses the challenges of sampling bias. An example involving a school council illustrates different sampling methods, highlighting the advantages of random sampling over convenience and voluntary samples.

Read more

10 questions

Show all answers

1.

MULTIPLE CHOICE

30 sec • 1 pt

What is the main goal of using a sample in research?

2.

MULTIPLE CHOICE

30 sec • 1 pt

Which of the following best describes a parameter?

3.

MULTIPLE CHOICE

30 sec • 1 pt

Why is a statistic not the same as a parameter?

4.

MULTIPLE CHOICE

30 sec • 1 pt

In the soup analogy, what does stirring the soup represent?

5.

MULTIPLE CHOICE

30 sec • 1 pt

What is a key disadvantage of a convenience sample?

6.

MULTIPLE CHOICE

30 sec • 1 pt

Why might a voluntary sample be biased?

7.

MULTIPLE CHOICE

30 sec • 1 pt

What is a common issue with voluntary samples?

8.

MULTIPLE CHOICE

30 sec • 1 pt

In the school project example, what is the benefit of using a random sample?

9.

MULTIPLE CHOICE

30 sec • 1 pt

How does a random sample help in reducing bias?

10.

MULTIPLE CHOICE

30 sec • 1 pt

What is the main challenge of using a census?

Explore all questions with a free account

or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?