Normal Distribution & Empirical Rule

Normal Distribution & Empirical Rule

Assessment

Flashcard

Mathematics

10th - 12th Grade

Practice Problem

Hard

CCSS
HSS.ID.A.4, 6.SP.B.5D, HSS.ID.A.2

Standards-aligned

Created by

Wayground Content

FREE Resource

Student preview

quiz-placeholder

15 questions

Show all answers

1.

FLASHCARD QUESTION

Front

What is a normal distribution?

Back

A normal distribution is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean.

2.

FLASHCARD QUESTION

Front

What is the shape of a normal distribution curve?

Back

The shape of a normal distribution curve is called a bell curve.

3.

FLASHCARD QUESTION

Front

What is the Empirical Rule?

Back

The Empirical Rule states that for a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, about 95% falls within two standard deviations, and about 99.7% falls within three standard deviations.

Tags

CCSS.HSS.ID.A.4

4.

FLASHCARD QUESTION

Front

What percentage of data falls within one standard deviation in a normal distribution?

Back

Approximately 68%.

Tags

CCSS.HSS.ID.A.4

5.

FLASHCARD QUESTION

Front

What percentage of data falls within two standard deviations in a normal distribution?

Back

Approximately 95%.

Tags

CCSS.HSS.ID.A.4

6.

FLASHCARD QUESTION

Front

What percentage of data falls within three standard deviations in a normal distribution?

Back

Approximately 99.7%.

Tags

CCSS.HSS.ID.A.4

7.

FLASHCARD QUESTION

Front

What is a disadvantage of the Empirical Rule?

Back

The data has to be approximately normal.

Tags

CCSS.HSS.ID.A.4

Create a free account and access millions of resources

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?