Understanding Samples and Bias in Statistics

Understanding Samples and Bias in Statistics

Assessment

Interactive Video

Created by

Mia Campbell

Mathematics, Education

6th - 8th Grade

19 plays

Medium

11:04

This video tutorial covers key concepts in statistics, including populations, samples, and the distinction between biased and unbiased sampling. It provides examples to help identify bias in samples and explains how to use samples to predict outcomes for larger populations. The video also includes practical examples and calculations to reinforce these concepts.

Read more

10 questions

Show all answers

1.

MULTIPLE CHOICE

30 sec • 1 pt

What is a population in statistics?

2.

MULTIPLE CHOICE

30 sec • 1 pt

Which of the following is an example of a sample?

3.

MULTIPLE CHOICE

30 sec • 1 pt

What characterizes an unbiased sample?

4.

MULTIPLE CHOICE

30 sec • 1 pt

Why is a sample of soccer team members asked about their favorite sport considered biased?

5.

MULTIPLE CHOICE

30 sec • 1 pt

Why is surveying every 10th person at an airport considered an unbiased sample?

6.

MULTIPLE CHOICE

30 sec • 1 pt

What is the main reason a survey of 28 students in a math class is considered biased?

7.

MULTIPLE CHOICE

30 sec • 1 pt

What percentage of students spend no more than 30 minutes on homework each night if 4 out of 125 students do so?

8.

MULTIPLE CHOICE

30 sec • 1 pt

If 57 out of 125 students spend more than one hour on homework each night, what percentage is this?

9.

MULTIPLE CHOICE

30 sec • 1 pt

If 72 out of 150 people prefer spaghetti, what percentage is this?

10.

MULTIPLE CHOICE

30 sec • 1 pt

If 62% of customers prefer brown mulch and the landscaper orders 800 bags, how many bags should be brown?

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?