Sampling Methods and Bias in Research

Sampling Methods and Bias in Research

Assessment

Interactive Video

Mathematics, Education

6th - 8th Grade

Hard

Created by

Liam Anderson

FREE Resource

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 QUESTION

30 sec • 1 pt

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

To ensure everyone in the population is surveyed

To get an exact measurement of the population

To estimate the population parameter

To avoid doing any calculations

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes a parameter?

A characteristic of a sample

A type of bias

A feature of the entire population

A random guess

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is a statistic not the same as a parameter?

A statistic is always more accurate

A statistic is an estimate, not an exact value

A statistic is a type of bias

A parameter is a guess

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

Adding more ingredients

Cooking the soup

Randomizing the sample

Tasting the soup

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key disadvantage of a convenience sample?

It is too expensive

It is always accurate

It requires too much time

It often leads to biased results

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why might a voluntary sample be biased?

It includes everyone in the population

It only includes people who choose to participate

It is too small

It is always random

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a common issue with voluntary samples?

They are too expensive

They are too large

They often include only those with strong opinions

They are always accurate

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?