Section 6.1

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HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Section 6.1 Introduction to the Normal Distribution With extra good stuff added by D.R.S., University of Cordele.

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Section 6.1. Introduction to the Normal Distribution. With extra good stuff added by D.R.S., University of Cordele. Properties of a Normal Distribution. Properties of a Normal Distribution 1. A normal distribution is bell-shaped and symmetric about its mean. - PowerPoint PPT Presentation

Transcript of Section 6.1

HAWKES LEARNING SYSTEMS

Students Matter. Success Counts.

Copyright © 2013 by Hawkes Learning

Systems/Quant Systems, Inc.

All rights reserved.

Section 6.1

Introduction to the Normal Distribution

With extra good stuff added by D.R.S., University of Cordele.

HAWKES LEARNING SYSTEMS

Students Matter. Success Counts.

Copyright © 2013 by Hawkes Learning

Systems/Quant Systems, Inc.

All rights reserved.

Properties of a Normal Distribution

Properties of a Normal Distribution 1. A normal distribution is bell-shaped and symmetric

about its mean. 2. A normal distribution is completely defined by its

mean, m, and standard deviation, s. 3. The total area under a normal distribution curve

equals 1. 4. The x-axis is a horizontal asymptote for a normal

distribution curve.

HAWKES LEARNING SYSTEMS

Students Matter. Success Counts.

Copyright © 2013 by Hawkes Learning

Systems/Quant Systems, Inc.

All rights reserved.

The Standard Normal Distribution

Properties of the Standard Normal Distribution 1. The standard normal distribution is bell-shaped and

symmetric about its mean. 2. The standard normal distribution is completely

defined by its mean, m = 0, and standard deviation, s = 1.

3. The total area under the standard normal distribution curve equals 1.

4. The x-axis is a horizontal asymptote for the standard normal distribution curve.

The two things that make it “The Standard…”

HAWKES LEARNING SYSTEMS

Students Matter. Success Counts.

Copyright © 2013 by Hawkes Learning

Systems/Quant Systems, Inc.

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Example 6.1: Calculating and Graphing z-Values

Given a normal distribution with μ = 48 and s = 5, convert an x-value of 45 to a z-value and indicate where this z-value would be on the standard normal distribution. Solution Begin by finding the z-score for x = 45 as follows.

45 485

0.60x

z

TI-84 Needs Extra Parentheses!!! ( 4 5 ─ 4 8 ) / 5

HAWKES LEARNING SYSTEMS

Students Matter. Success Counts.

Copyright © 2013 by Hawkes Learning

Systems/Quant Systems, Inc.

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Example 6.1: Calculating and Graphing z-Values (cont.)

Now draw each of the distributions, marking a standard score of z = −0.60 on the standard normal distribution.

HAWKES LEARNING SYSTEMS

Students Matter. Success Counts.

Copyright © 2013 by Hawkes Learning

Systems/Quant Systems, Inc.

All rights reserved.

Example 6.1: Calculating and Graphing z-Values (cont.)

The distribution on the left is a normal distribution with a mean of 48 and a standard deviation of 5. The distribution on the right is a standard normal distribution with a standard score of z = −0.60 indicated.

Recommend two parallel axes, z and x both

RECOMMENDED:1. Sketch a normal

distribution

Recommend two parallel axes, z and x both

RECOMMENDED:1. Sketch a normal

distribution2. A z-axis, labeling

z = 0 and z = +1, -1, +2, -2, +3, -3, etc., as needed.

For this particular problem, z = -1 and z = +1 are good to visualize,and z = -0.60 is meaningful.

Recommend two parallel axes, z and x both

RECOMMENDED:1. Sketch a normal

distribution2. A z-axis, labeling

z = 0 and z = +1, -1, +2, -2, +3, -3, as needed.

3. An x-axis, too, labeling the mean and other key values

4. Observe the correspondence between z values and x values.

Corresponding to those fourz-values are these four x-values.

Recommend two parallel axes, z and x both

RECOMMENDED:1. Sketch a normal

distribution2. A z-axis, labeling

z = 0 and z = +1, -1, +2, -2, +3, -3, as needed.

3. An x-axis, too, labeling the mean and other key values. Observe the correspondence between z values and x values.

It’s clear to the reader that the mean is x = 48.

It’s clear to the reader that for x=45, z=-0.60.

Excel: STANDARDIZE(x value, mean, standard deviation)

Going the other way: converting z back to an x

If you take this formula:

And solve to get x by itself on one side:

45 485

0.60x

z