Normal Distribution Concepts and Properties

Normal Distribution Concepts and Properties

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Practice Problem

Hard

Created by

Patricia Brown

FREE Resource

The video tutorial explains the normal distribution, also known as the Gaussian or Bell Curve, highlighting its symmetrical nature where mean, median, and mode are equal. It covers the notation used for normal distribution and how the graph's highest point aligns with the mean. The tutorial further explores how changes in mean and standard deviation affect the distribution's position and shape, using histograms as examples. The lesson concludes with a preview of the next topic on standardization.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is another name for the normal distribution?

Poisson distribution

Bell Curve

Uniform distribution

Exponential distribution

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a normal distribution, which of the following are equal?

Mode and variance

Median and standard deviation

Mean, median, and mode

Mean and variance

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the tilde sign in the notation of a normal distribution represent?

It represents a function

It indicates a variable

It denotes a distribution

It shows a constant

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What determines the spread of a normal distribution graph?

Standard deviation

Mode

Mean

Median

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a normally distributed histogram, where are most observations concentrated?

At the tails

At the mode

Around the mean

At the origin

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to the distribution when the mean is increased, keeping the standard deviation constant?

The graph moves to the left

The graph moves to the right

The graph becomes wider

The graph becomes taller

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does a lower standard deviation affect the shape of the distribution?

It results in a wider distribution

It results in fatter tails

It results in a taller distribution

It results in a lower dispersion

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