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Normal distribution demo: Normal distribution demo:

Normal distribution demo: - PowerPoint Presentation

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Uploaded On 2015-09-22

Normal distribution demo: - PPT Presentation

http wwwyoutubecomwatchvxDIyAOBayU The Standard Normal Distribution 1 Notice that the x axis is standard scores also called z scores This means that the distribution has a ID: 136642

area curve scores score curve area score scores percentile distribution 115 standard 100 normal entire sds step values convert

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Slide1

http://www.youtube.com/watch?v=xDIyAOBa_yU

The Standard Normal Distribution

Note

:

This file is on my webpage for this course. See the syllabus for the web address.Slide2

Notice that the x axis is

standard scores, also called

z scores

. This means that the distribution has a population mean of zero, and a population standard deviation of 1.Slide3

The most significant thing about the normal distribution is that

predictable proportions of cases occur in specific regions of the curve.

50%

50%Slide4

Notice that: (1) 34.13% of the scores lie between the mean and 1

sd above the mean, (2) 13.6% of the scores lie between 1 sd

above the mean and 2

sds above the mean, (3) 2.14% of the scores lie between 2 sds

above the mean and 3

sds

above the mean, and (4) 0.1% of the scores in the entire region above 3

sds

.

The curve is symmetrical,

so the area

betw

0 and -1 = 34.13%, -1 to -2 = 13.6%, etc. Also, 50% of the cases are above 0, 50% below.Slide5

IQ Percentile Problem 1

:

IQ:

m=100, s=15.

Convert an IQ score of

115

into a percentile, using the standard normal distribution.

Step 1:

Convert IQ=115 into a z score:

z = x

i

-

m

/

s

= (115-100)/15 = 15/15; z = +1.0

(1

sd above the mean)

IQ=115, z = 1.0Slide6

Step 2:

Calculate the area under the curve for all scores below z=1

(percentile=% of scores falling

below a score).

Area under the curve below z=1.0: 34.13+50.00=

84.13.

We get this by adding 34.13

(the area between the mean and z=1)

to 50.00

(50% is the area under the curve for values less than zero; i.e., the entire left side of the bell curve)

. So, an IQ score of 115 (z=1.0) has a percentile score of

84.13.

IQ=115, z = +1.0

The part with the

slanty

lines

repre-sents

the portion of the distribution we’re looking for.Slide7

IQ Percentile Problem 2

:

IQ:

m=100, s=15.

Convert an IQ score of

85

into a percentile, using the standard normal distribution.

Step 1:

Convert IQ=85 into a z score:

z = x

i

-

m

/

s

= (85-100)/15 = -15/15; z = -1.0

(1

sd below

the mean)

IQ=85, z = -1.0Slide8

Step 2:

Calculate the area under the curve for all scores below z=-1.

Area under the curve values below z=-1.0: 50.00-34.13=

15.87. We get this by subtracting 34.13 (the area between the mean and z=-1)

from 50.00

(50% is the total area under the curve for values

less than zero

; i.e., the entire left side of the bell curve)

. So, an IQ score of 85 (z=-1.0) has a percentile score of

15.87.

IQ=85, z = -1.0Slide9

z = x

i-m/

s =

85-100/15 = -15/15z = -1.0

Area under the curve for z=-1.0: 50.00-34.13=

15.87

.

We get this by subtracting 34.13 from 50.00

(50.00 is the total area under the curve for values less than zero; i.e., the entire left side of the bell curve.)

We therefore want the 50% minus the area between zero and -1.0). So, an IQ score of 85 has a percentile score of

15.87.

IQ=85, z=-1.0