Z-scores & Probabilities Learning Objectives At the end of this - - PowerPoint PPT Presentation

z scores probabilities learning objectives
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Z-scores & Probabilities Learning Objectives At the end of this - - PowerPoint PPT Presentation

Chapter 7.2 & 7.3 Z-scores & Probabilities Learning Objectives At the end of this lecture, the student should be able to: Explain how to convert an x to a z-score. Show how to look up a z-score in a z table. Explain how


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SLIDE 1

Chapter 7.2 & 7.3

Z-scores & Probabilities

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SLIDE 2

Learning Objectives

At the end of this lecture, the student should be able to:

  • Explain how to convert an x to a z-score.
  • Show how to look up a z-score in a z table.
  • Explain how to find the probability of an x falling between two

values on a normal distribution.

  • Describe how to use the z table to look up a z corresponding

to a percentage.

  • Describe how to use the formula to calculate x from a z-score
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SLIDE 3

Introduction

  • Z-score and the standard normal

distribution

  • Z-score probabilities
  • Using the z table to answer

harder questions

  • Calculating x from z
  • Using z-score and probabilities

correctly

Photograph by Dirk Beyer

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SLIDE 4

What is a Z-Score?

Introduction to Standard Normal Distribution

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SLIDE 5

Remember the Empirical Rule?

  • Required normal distribution
  • Worked well for the

cutpoints available

  • What about in-between?
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SLIDE 6

Remember the Empirical Rule?

  • Required normal distribution
  • Worked well for the

cutpoints available

  • What about in-between?
  • Notice the numbers along

the bottom

  • -3, -2, -1, then µ (which

has no number, or 0), then 1, 2, 3

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SLIDE 7

Z is the Standard Normal Distribution

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SLIDE 8

Z-scores

  • Every value on a normal

distribution (every “x”) can be converted to a z-score.

  • You must know the

following to use formula:

  • The “x” – what you want

to convert to z

  • The µ of the distribution
  • The σ of the distribution
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SLIDE 9

Z-scores

  • Every value on a normal

distribution (every “x”) can be converted to a z-score.

  • You must know the

following to use formula:

  • The “x” – what you want

to convert to z

  • The µ of the distribution
  • The σ of the distribution

z = x - μ Ϭ x = zϬ + μ

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SLIDE 10

Z-scores: Smart Friend Example

  • Remember our n=100

students?

  • Let’s say your friend got a
  • 90. What is the z-score for

90?

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5

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SLIDE 11

Z-scores: Smart Friend Example

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 22 36.5 51 65.5 80 94.5 109 90?

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SLIDE 12

Z-scores: Smart Friend Example

  • Remember our n=100

students?

  • Let’s say your friend got a
  • 90. What is the z-score for

90?

  • x=90
  • µ = 65.5
  • σ = 14.5

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=0 x=65.5

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SLIDE 13

Z-scores: Smart Friend Example

  • Remember our n=100

students?

  • Let’s say your friend got a
  • 90. What is the z-score for

90?

  • x=90
  • µ = 65.5
  • σ = 14.5
  • (90-65.5)/14.5 = 1.69

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=1.69 x=90 z=0 x=65.5

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SLIDE 14

Z-scores: Not-so-smart Friend Example

  • n=100
  • Let’s say your other friend

got a 50. What is the z- score for 50?

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=0 x=65.5

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SLIDE 15

Z-scores: Not-so-smart Friend Example z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 22 36.5 51 65.5 80 94.5 109 50?

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SLIDE 16

Z-scores: Not-so-smart Friend Example

  • n=100
  • Let’s say your other friend

got a 50. What is the z- score for 50?

  • x=50
  • µ = 65.5
  • σ = 14.5
  • (50-65.5)/14.5 = -1.07
  • It is negative because it is

below µ

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=0 x=65.5

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SLIDE 17

Z-scores: Not-so-smart Friend Example

  • n=100
  • Let’s say your other friend

got a 50. What is the z- score for 50?

  • x=50
  • µ = 65.5
  • σ = 14.5
  • (50-65.5)/14.5 = -1.07
  • It is negative because it is

below µ

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=0 x=65.5 z=-1.07 x=50

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SLIDE 18

Z-score Probabilities

Using the Z table

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SLIDE 19

Question: What is the probability I will select a student with a score between 36.5 and 51? Answer: 13.5% But what if you have z-scores

  • f 1.69 (smart friend) and
  • 1.07 (not-so-smart friend)?

Remember “Probability” from the Empirical Rule?

22 36.5 51 65.5 80 94.5 109

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SLIDE 20

Questions about Z-Score Probabilities

  • What is the probability that

students scored above the smart friend?

  • In other words – what is the

area under the curve from z=1.69 all the way up?

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=1.69 x=90 z=0 x=65.5

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SLIDE 21

Questions about Z-Score Probabilities

  • What is the probability that

students scored above the smart friend?

  • In other words – what is the

area under the curve from z=1.69 all the way up?

  • What is the probability that

students scored below the not-so- smart friend?

  • In other words – what is the

area under the curve from z=- 1.07 all the way down?

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=1.69 x=90 z=0 x=65.5 z=-1.07 x=50

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SLIDE 22

Questions about Z-Score Probabilities

  • What is the probability that

students scored above the smart friend?

  • In other words – what is the

area under the curve from z=1.69 all the way up?

  • What is the probability that

students scored below the not-so- smart friend?

  • In other words – what is the

area under the curve from z=- 1.07 all the way down?

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=1.69 x=90 z=0 x=65.5 z=-1.07 x=50 We will look these up using the Z table.

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SLIDE 23

How to Use the Z Table

  • First, figure out what area

you want.

  • What is the probability

that students scored below the not-so-smart friend (z=-1.07, x=50)?

  • For areas to the left of a

specified z value, use the table entry directly. z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=0 x=65.5 z=-1.07 x=50

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SLIDE 24

How to Use the Z Table

  • First, figure out what area

you want.

  • What is the probability

that students scored below the not-so-smart friend (z=-1.07, x=50)?

  • For areas to the left of a

specified z value, use the table entry directly. z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=0 x=65.5 z=-1.07 x=50

p = 0.1423. The probability is 14.23%.

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SLIDE 25

How to Use the Z Table

  • Let’s do the smart friend’s

probability.

  • What is the probability that

students scored above the smart friend (x=90, z=1.69)?

  • For areas to the right of a

specified z value, either:

  • Look up in table, then

subtract result from 1, or

  • Use the opposite z (-1.69)

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=1.69 x=90 z=0 x=65.5

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SLIDE 26

How to Use the Z Table

  • Let’s do the smart friend’s

probability.

  • What is the probability that

students scored above the smart friend (x=90, z=1.69)?

  • For areas to the right of a

specified z value, either:

  • Look up in table, then

subtract result from 1, or

  • Use the opposite z (-1.69)

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=1.69 x=90 z=0 x=65.5

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SLIDE 27

How to Use the Z Table

  • Let’s do the smart friend’s

probability.

  • What is the probability that

students scored above the smart friend (x=90, z=1.69)?

  • For areas to the right of a

specified z value, either:

  • Look up in table, then

subtract result from 1, or

  • Use the opposite z (-1.69)

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=1.69 x=90 z=0 x=65.5

p = 0.9545. 1 – 0.9545 = 0.0455, or 4.55%

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SLIDE 28

How to Use the Z Table

  • Let’s do the smart friend’s

probability.

  • What is the probability that

students scored above the smart friend (x=90, z=1.69)?

  • For areas to the right of a

specified z value, either:

  • Look up in table, then

subtract result from 1, or

  • Use the opposite z (-1.69)

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=1.69 x=90 z=0 x=65.5

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SLIDE 29

How to Use the Z Table

  • Let’s do the smart friend’s

probability.

  • What is the probability that

students scored above the smart friend (x=90, z=1.69)?

  • For areas to the right of a

specified z value, either:

  • Look up in table, then

subtract result from 1, or

  • Use the opposite z (-1.69)

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z=1.69 x=90 z=0 x=65.5

p = 0.0455, or 4.55%

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SLIDE 30

Harder Questions

More on Probabilities and Z Table

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SLIDE 31

Harder Questions

  • What if you are looking at a

probability between two scores – such as the probability the students will score between 50 and 90?

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 22 36.5 51 65.5 80 94.5 109

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SLIDE 32

Calculating Probability Between Scores 1. Note that you have x1 and x2 (two x’s)

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 x2=90 x1=50

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SLIDE 33

Calculating Probability Between Scores 1. Note that you have x1 and x2 (two x’s) 2. Calculate z1 and z2

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z2=1.69 x2=90 z1=-1.07 x1=50

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SLIDE 34

Calculating Probability Between Scores 1. Note that you have x1 and x2 (two x’s) 2. Calculate z1 and z2 3. For z1, find the probability to the left (below) z

  • Remember, direct

probability from z table

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z2=1.69 x2=90 z1=-1.07 x1=50

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SLIDE 35

Calculating Probability Between Scores 1. Note that you have x1 and x2 (two x’s) 2. Calculate z1 and z2 3. For z1, find the probability to the left (below) z

  • Remember, direct

probability from z table 4. For z2, find the probability to the right (above) z

  • Use one of the 2 methods

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z2=1.69 x2=90 z1=-1.07 x1=50

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SLIDE 36

Calculating Probability Between Scores 1. Note that you have x1 and x2 (two x’s) 2. Calculate z1 and z2 3. For z1, find the probability to the left (below) z

  • Remember, direct

probability from z table 4. For z2, find the probability to the right (above) z

  • Use one of the 2 methods

5. Subtract both z1 and z2 probabilities from 1.

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z2=1.69 x2=90 z1=-1.07 x1=50

1 – z1 probability – z2 probability = between probability

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SLIDE 37

Calculating Probability Between Scores 1. Note that you have x1 and x2 (two x’s) 2. Calculate z1 and z2 3. For z1, find the probability to the left (below) z

  • It was p = 0.1423.

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z2=1.69 x2=90 z1=-1.07 x1=50 p1 = 0.1423

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SLIDE 38

Calculating Probability Between Scores 1. Note that you have x1 and x2 (two x’s) 2. Calculate z1 and z2 3. For z1, find the probability to the left (below) z

  • It was p = 0.1423.

4. For z2, find the probability to the right (above) z

  • Use one of the 2 methods

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z2=1.69 x2=90 p2 = 0.0455 z1=-1.07 x1=50 p1 = 0.1423

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SLIDE 39

Calculating Probability Between Scores 1. Note that you have x1 and x2 (two x’s) 2. Calculate z1 and z2 3. For z1, find the probability to the left (below) z

  • It was p = 0.1423.

4. For z2, find the probability to the right (above) z

  • Use one of the 2 methods

5. Subtract both z1 and z2 probabilities from 1.

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z2=1.69 x2=90 p2 = 0.0455 z1=-1.07 x1=50 p1 = 0.1423

1 – 0.1423 – 0.0455 = 0.8122, or 81.22%

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SLIDE 40

Harder Questions

  • What if you are looking at a

probability more than 50%?

  • such as the probability

students will score greater than 50?

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 22 36.5 51 65.5 80 94.5 109

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SLIDE 41

Harder Questions

  • What is the probability

students will score greater than 50?

  • For areas to the right of a

specified z value, either:

  • Look up in table, then

subtract result from 1, or

  • Use the opposite z (1.07)

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 22 36.5 51 65.5 80 94.5 109 z=-1.07 x=50

Method 1: 1 - 0.1423 = 0.8577 Method 2: z of 1.07 = 0.8577

  • r 85.77%
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SLIDE 42

Harder Questions

  • What if you are looking at a

probability more than 50%?

  • Such as the probability

students will score less than 90?

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 22 36.5 51 65.5 80 94.5 109

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SLIDE 43

Harder Questions

  • What is the probability

students will score less than 90?

  • For areas to the left of a

specified z value, use the table entry directly.

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 22 36.5 51 65.5 80 94.5 109

Probability for z=1.69 = 0.9545 ,

  • r 95.45%

z=1.69 x=90

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SLIDE 44

Note About Z Table

  • 1. Treat all areas

(probabilities) to the left

  • f z = -3.49 as p =

0.0000

  • 2. Treat all areas

(probabilities) to the right

  • f z = 3.49 as p = 1.000
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SLIDE 45

Calculating x

When Z is Given

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SLIDE 46

Calculating x Questions

  • When calculating x, you need

to be given µ and σ (just like when calculating z)

  • But you also need to be either
  • Given a z score or
  • Given a probability so you

can look up the z in the table

  • Examples of each of these

questions

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5

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SLIDE 47

Calculating x Questions

  • What is the score on this

distribution that is at z=1.5? z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z = 1.5

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SLIDE 48

Calculating x Questions

  • What is the score on this

distribution that is at z=1.5?

  • x = (1.5*14.5) + 65.5 =

87.3

  • The score (x) is 87.3.

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 z = 1.5 x = 87.3

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SLIDE 49

Calculating x Questions

  • What is the score that marks

the top 7% of the scores?

  • We are looking for the z at

p=0.0700

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5

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SLIDE 50

Calculating x Questions

  • What is the score that marks

the top 7% of the scores?

  • We are looking for the z at

p=0.0700

  • Closest p in table is 0.0694
  • That maps to z = -1.48

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 p = 0.0694

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SLIDE 51

Calculating x Questions

  • What is the score that marks

the top 7% of the scores?

  • We are looking for the z at

p=0.0700

  • Closest p in table is 0.0694
  • That maps to z = -1.48
  • Since we want “top 7%” we

want positive z: z = 1.48

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 p = 0.0694 z = 1.48

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SLIDE 52

Calculating x Questions

  • What is the score that marks

the top 7% of the scores?

  • We are looking for the z at

p=0.0700

  • Closest p in table is 0.0694
  • That maps to z = -1.48
  • Since we want “top 7%” we

want positive z: z = 1.48

  • x = (1.48 * 14.5) + 65.5 = 87
  • 87 is the score that marks the

top 7% of scores

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 p = 0.0694 z = 1.48 x = 87

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SLIDE 53

Calculating x Questions

  • What is the score that marks

the bottom 3% of the scores?

  • We are looking for the z at

p=0.0300

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5

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SLIDE 54

Calculating x Questions

  • What is the score that marks

the bottom 3% of the scores?

  • We are looking for the z at

p=0.0300

  • Closest p in table is 0.0301
  • That maps to z = -1.88

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 p = 0.0301

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SLIDE 55

Calculating x Questions

  • What is the score that marks

the bottom 3% of the scores?

  • We are looking for the z at

p=0.0300

  • Closest p in table is 0.0301
  • That maps to z = -1.88
  • Since we want “bottom 3%” we

keep the negative z = -1.88

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 p = 0.0301 z = -1.88

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SLIDE 56

Calculating x Questions

  • What is the score that marks

the bottom 3% of the scores?

  • We are looking for the z at

p=0.0300

  • Closest p in table is 0.0301
  • That maps to z = -1.88
  • Since we want “bottom 3%” we

keep the negative z = -1.88

  • x = (-1.88 * 14.5) + 65.5 = 38.2
  • 38.2 is the score that marks

the bottom 3% of scores

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 p = 0.0301 z = -1.88 x = 38.2

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SLIDE 57

Calculating x Questions

  • What scores mark the middle 20%
  • f the data?

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5

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SLIDE 58

Calculating x Questions

  • What scores mark the middle 20%
  • f the data?
  • Strategy is to find the z-score for

(1-0.2000)/2 = 0.4000

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5

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SLIDE 59

Calculating x Questions

  • What scores mark the middle 20%
  • f the data?
  • Strategy is to find the z-score for

(1-0.2000)/2 = 0.4000

  • For p = 0.4013, z = -0.25
  • Also, z = 0.25 is on the positive

side.

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 p = 0.4013 z = -0.25 p = 0.4013 z = 0.25

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SLIDE 60

Calculating x Questions

  • What scores mark the middle 20%
  • f the data?
  • Strategy is to find the z-score for

(1-0.2000)/2 = 0.4000

  • For p = 0.4013, z = -0.25
  • Also, z = 0.25 is on the positive

side.

  • x for the left side:
  • x = (-0.25*14.5) + 65.5 = 61.9
  • x for the right side:
  • x = (0.25*14.5) + 65.5 = 69.1
  • 61.9 and 69.1 mark the middle

20% of the data.

z = x - μ Ϭ x = zϬ + μ

µ = 65.5 σ = 14.5 p = 0.4013 z = -0.25 x = 61.9 p = 0.4013 z = 0.25 x = 69.1

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SLIDE 61

Z-score and Probability Review

Tips and Tricks

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SLIDE 62

Z-Score Quiz

Quest Question ion

1. Where is x?

Ans Answer er

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SLIDE 63

Z-Score Quiz

Quest Question ion

1. Where is x?

Ans Answer er

1. Usually in the question.

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SLIDE 64

Z-Score Quiz

Quest Question ion

1. Where is x? 2. What do you do with an x?

Ans Answer er

1. Usually in the question.

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SLIDE 65

Z-Score Quiz

Quest Question ion

1. Where is x? 2. What do you do with an x?

Ans Answer er

1. Usually in the question. 2. Calculate a z-score.

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SLIDE 66

Z-Score Quiz

Quest Question ion

1. Where is x? 2. What do you do with an x? 3. What do you do with a z?

Ans Answer er

1. Usually in the question. 2. Calculate a z-score.

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SLIDE 67

Z-Score Quiz

Quest Question ion

1. Where is x? 2. What do you do with an x? 3. What do you do with a z?

Ans Answer er

1. Usually in the question. 2. Calculate a z-score. 3. Look it up in the Z table.

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SLIDE 68

Z-Score Quiz

Quest Question ion

1. Where is x? 2. What do you do with an x? 3. What do you do with a z? 4. What if the question asks for x?

Ans Answer er

1. Usually in the question. 2. Calculate a z-score. 3. Look it up in the Z table.

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SLIDE 69

Z-Score Quiz

Quest Question ion

1. Where is x? 2. What do you do with an x? 3. What do you do with a z? 4. What if the question asks for x?

Ans Answer er

1. Usually in the question. 2. Calculate a z-score. 3. Look it up in the Z table. 4. Use the x formula

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SLIDE 70

Z-Score Quiz

Quest Question ion

1. Where is x? 2. What do you do with an x? 3. What do you do with a z? 4. What if the question asks for x? 5. What if the question gives you a p?

Ans Answer er

1. Usually in the question. 2. Calculate a z-score. 3. Look it up in the Z table. 4. Use the x formula

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SLIDE 71

Z-Score Quiz

Quest Question ion

1. Where is x? 2. What do you do with an x? 3. What do you do with a z? 4. What if the question asks for x? 5. What if the question gives you a p?

Ans Answer er

1. Usually in the question. 2. Calculate a z-score. 3. Look it up in the Z table. 4. Use the x formula 5. Dig around in the table to find the p to map back to z, then use x formula

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SLIDE 72

Tips for Getting Z-Scores and Probabilities Right

1. Draw a picture: Graph out the question. Draw the curve, the line for µ, and where the x goes (above or below the µ).

  • If there is one x, shade in the part of the curve wanted (above or

below).

  • If there are 2 x’s, shade in the area wanted (usually in between them).
  • If it’s a “calculate the x” question, put where the z or p is, and shade in

the probability you are calculating. 2. x is usually in the question: The question must give you µ and σ, and students usually can find those, but then they can’t find the x. 3. Don’t mistake little z’s for p’s: Sometimes a little z-score (like 0.023) looks like a p. Don’t be fooled! You still have to look it up. 4. Check logic against your picture: If you shaded in a big part of your picture, your probability should be bigger than 0.5000 or 50%.

slide-73
SLIDE 73

Conclusion

  • Introduction to the

standard normal curve and z-score formulas

  • How to calculate z-scores

and look up probabilities

  • How to calculate x if

given a z-score or a probability

Ink on paper, courtesy of Online Collection of Brooklyn Museum