Section 6.1
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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.
All rights reserved.
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.
All rights reserved.
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
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.