Normal distribution

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Normal distribut And standard deviation

description

Normal distribution. And standard deviation. Normal Distributions. Normally distributed data is described by giving the mean (the middle value) and the standard deviation (sd) or measure of spread The graph fits a bell-shaped curve with most measurements near the middle and - PowerPoint PPT Presentation

Transcript of Normal distribution

Page 1: Normal distribution

Normal distributionAnd standard deviation

Page 2: Normal distribution

Normal Distributions

Normally distributed data is described by giving the mean (the middle value) and the standard deviation (sd) or measure of spread

The graph fits a bell-shaped curve with most measurements near the middle and a few extreme values above or below the mean

Page 3: Normal distribution

Example The lifetime of a light bulb is normally

distributed, with mean 900 hours, and standard deviation 150 hours.

900

mean

1050750

1 sd1 sd

450 1350

3 sd 3 sd

1200600

2 sd 2 sd

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Proportions

68% of the data lies within 1 standard deviation (either side) of the mean.

It is likely or probable that the data will be in this region.

68%

1 sd

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Proportions

95% of the data lies within 2 standard deviations (either side) of the mean.

It is very likely or very probable that the data will be in this region.

95% 2 sd

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Proportions

99% of the data lies within 3 standard deviations (either side) of the mean.

It is almost certain that the data will be in this region.

99% 3 sd

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The probability of all possible events add to 100% or 1

You can divide the normally distributed curve into sections

34% 34%

1 sd = 68%

2 sd = 95%

13.5% 13.5%

0.5%0.5% 2%2%

3 sd = 99%

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Slate Flooring

An architect chooses slate for a floor. Each piece varies in weight and are normally distributed with a mean of 945g and a standard deviation of 10g.

945 955935

1 sd

965925

2 sd

915 975

3 sd

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a. What percentage of pieces weigh between 925g and 965g?

How far from the mean are 925 and 965?

915 975965955935925 945

2 sd2 sd

2 sd from the mean

This corresponds to 95% probability

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b. What percentage of pieces weigh more than 935g? Add everything above the mean to the section

below the mean

• 84% weigh more than 935g

• Data above the mean = 50%

50%

945935

• Data from 935 to 945 = 34% (1 sd below mean)

34%

1 sd

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c. Below what weight will a piece of slate almost certainly be? ‘Almost certainly’ corresponds to what sd?

3 sd

Below 975g

915 975965955935925 945

1 sd

2 sd

3 sd

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d. 400 pieces of slate are ordered for the floor. Estimate how many will weigh less than 925g Where is 925g situated on the curve?

925 935 945 965955

2.5% x 400

915 975

2 sd below mean

2 sd

50% - 34% - 13.5% = 2.5% less than 925g

50%

34%13.5%

10 pieces