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STANDARD NORMAL CALCULATIONS Section 2.2

S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

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Page 1: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

STANDARD NORMAL CALCULATIONSSection 2.2

Page 2: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

NORMAL DISTRIBUTIONS

Can be compared if we measure in units of size σ about the mean µ as center.

Changing these units is called standardizing.

Page 3: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

STANDARDIZING AND Z-SCORES

If x is an observation from a distribution that has mean µ and standard deviation σ, the standardized value of x is

A standardized value is often called a z-score.

Page 4: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

HEIGHTS OF YOUNG WOMEN The heights of young women are

approximately normal with µ = 64.5 inches and σ = 2.5 inches. The standardized height is

𝑧=h h𝑒𝑖𝑔 𝑡−64.5

2.5

Page 5: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

HEIGHTS OF YOUNG WOMEN A woman’s standardized height is the

number of standard deviations by which her height differs from the mean height of all women. For example, a woman who is 68 inches tall has a standardized height

𝑧=68−64.5

2.5=1.4

or 1.4 standard deviations above the mean.

Page 6: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

HEIGHTS OF YOUNG WOMEN A woman who is 5 feet (60 inches) tall has a

standardized height

𝑧=60−64.5

2.5=−1.8

or 1.8 standard deviations less than the mean.

Page 7: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

STANDARD NORMAL DISTRIBUTION

The normal distribution N(0,1) with mean 0 and standard deviation 1.

If a variable x has any normal distribution N(µ,σ) with mean µ and standard deviation σ, then the standardized variable

has the standard normal distribution.

Page 8: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

THE STANDARD NORMAL TABLE

Table A (front of your book) is a table of areas under the standard normal curve. The table entry for each value z is the area under the curve to the left of z.

Page 9: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

USING THE Z TABLE

Back to our example of women 68 inches or less. We had a z-score of 1.4. To find the proportion of observations

from the standard normal distribution that are less 1.4, locate 1.4 in Table A.

Page 10: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing
Page 11: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

USING THE Z TABLE

Back to our example of women 68 inches or less. We had a z-score of 1.4. To find the proportion of observations from the

standard normal distribution that are less 1.4, locate 1.4 in Table A.

What does this mean?

About 91.92% of young women are 68 inches or shorter.

Page 12: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

Find the proportion of observations from the standard normal distribution that are greater than -2.15.

Page 13: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

Find the proportion of observations from the standard normal distribution that are greater than -2.15.

Proportion = 0.0158 Remember, Table A gives us what is less than

a z-score.

1 – 0.0158 = .9842

Page 14: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

STEPS FOR FINDING NORMAL DISTRIBUTION

Step 1: State the problem in terms of the observed variable x.

Step 2: Standardize x to restate the problem in terms of a standard normal curve. Draw a picture of the distribution and shade the area of interest under the curve.

Step 3: Find the required area under the standard normal curve, using Table A and the fact that the total area under the curve is 1.

Step 4: Write your conclusion in the context of the problem.

Page 15: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

CHOLESTEROL PROBLEM The level of cholesterol in the blood is important because high cholesterol

levels may increase the risk of heart disease. The distribution of blood cholesterol levels in a large population of people of the same age and sex is roughly normal. For 14-year old boys, the mean is µ = 170 milligrams of cholesterol per deciliter of blood (mg/dl) and the standard deviation is σ = 30 mg/dl. Levels above 240 mg/dl may require medical attention. What percent of 14-year-old boys have more than 240 mg/dl of cholesterol?

Step 1: State the Problem.

Level of cholesterol = x x has the N(170,30) distributionWant the proportion of boys with cholesterol level x > 240

Page 16: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

CHOLESTEROL PROBLEM The level of cholesterol in the blood is important because high cholesterol

levels may increase the risk of heart disease. The distribution of blood cholesterol levels in a large population of people of the same age and sex is roughly normal. For 14-year old boys, the mean is µ = 170 milligrams of cholesterol per deciliter of blood (mg/dl) and the standard deviation is σ = 30 mg/dl. Levels above 240 mg/dl may require medical attention. What percent of 14-year-old boys have more than 240 mg/dl of cholesterol?

Step 2: Standardize x and draw a picture𝑥>240

𝑥−17030

>240 −170

30

𝑧>2.33

Page 17: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

CHOLESTEROL PROBLEM Step 3: Use the Table (z > 2.33)

0.9901 is the proportion of observations less than 2.33.

1 – 0.9901 = 0.0099

About 0.01 or 1%

Page 18: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

CHOLESTEROL PROBLEM Step 4: Write your conclusion in the context of the

problem.

Only about 1% of boys have high cholesterol.

Page 19: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

WORKING WITH AN INTERVAL

What percent of 14-year-old boys have blood cholesterol between 170 and 240 mg/dl?Step 1: State the problem

We want the proportion of boys with Step 2: Standardize and draw a picture

170 240x

170 ≤ 𝑥≤ 240170 −170

30≤𝑥−170

30≤

240 − 17030

0 ≤ 𝑧≤ 2.33

Page 20: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

WORKING WITH AN INTERVAL

What percent of 14-year-old boys have blood cholesterol between 170 and 240 mg/dl?Step 3: Use the table

z < 0 0.5000 z < 2.33 0.9901

0 < z < 2.33 0.9901 – 0.5000 = 0.4901

0 ≤ 𝑧≤ 2.33

Page 21: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

WORKING WITH AN INTERVAL

What percent of 14-year-old boys have blood cholesterol between 170 and 240 mg/dl?Step 4: State your conclusion in context

About 49% of boys have cholesterol levels between 170 and 240 mg/dl.

Page 22: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

FINDING A VALUE GIVEN A PROPORTION

Scores on the SAT Verbal test in recent years follow approximately the N(505,110) distribution. How high must a student score in order to place in the top 10% of all students taking the SAT?

Find the SAT score x with 0.1 to its right under the normal curve. (Same as finding an SAT score x with 0.9 to its left)

µ = 505, σ = 110

Page 23: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

FINDING A VALUE GIVEN A PROPORTION

Scores on the SAT Verbal test in recent years follow approximately the N(505,110) distribution. How high must a student score in order to place in the top 10% of all students taking the SAT?

USE THE TABLE!!! Go backwards.

Page 24: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing
Page 25: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

FINDING A VALUE GIVEN A PROPORTION

Scores on the SAT Verbal test in recent years follow approximately the N(505,110) distribution. How high must a student score in order to place in the top 10% of all students taking the SAT?

Page 26: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

FINDING A VALUE GIVEN A PROPORTION

Scores on the SAT Verbal test in recent years follow approximately the N(505,110) distribution. How high must a student score in order to place in the top 10% of all students taking the SAT?z-score = 1.28Unstandardize:

𝑥=505+ (1.28 ) (110 )=645.8

Page 27: S TANDARD N ORMAL C ALCULATIONS Section 2.2. N ORMAL D ISTRIBUTIONS Can be compared if we measure in units of size σ about the mean µ as center. Changing

Homework

• 2.19 p. 95• 2.21, 2.22, 2.23 p. 103