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Normal Distribution FIS

Normal Distribution FIS

Assessment

Presentation

Mathematics

KG

Practice Problem

Hard

Created by

Hasan Khan

FREE Resource

23 Slides • 43 Questions

1

S1 Normal Distribution

-Understand the Normal Distribution Curve

-Use Normal Distribution tables


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2

Multiple Choice

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The height of high school studnets

1

discrete data

2

continuous data

3

Multiple Choice

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The number of pets per family in a city.

1

discrete data

2

continuous data

4

Continuous Data

Continuous random variable can take any value in a given range.


A continuous random variable has a continuous probability distribution - this can be shown as a curve on a graph.


The total area under the curve is 1

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5

Continuous Data

A Normal Distribution is when the distribution is symmetrical about the mean.


The total area under the curve is 1


The probability is found by finding the area below the curve.

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6

Normal Distribution

A Normal Distribution is when the distribution is symmetrical about the mean.


Mean = Median = Mode


(no skew)


50% of the values are less than the mean and 50% are greater than the mean

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7

The Normal Curve

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8

Normal Distribution

The mean is easy to spot!


A value is;

Likely to be within 1 standard deviation

Very likely to be within 2 standard deviations

Almost certainly within 3 standard deviations

9

Normal Distribution

The mean is easy to spot!


A value is;

Likely to be within 1 standard deviation

Very likely to be within 2 standard deviations

Almost certainly within 3 standard deviations

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10

Normal Distribution

The mean is easy to spot!


A value is;

Likely to be within 1 standard deviation

Very likely to be within 2 standard deviations

Almost certainly within 3 standard deviations

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11

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15

Multiple Choice

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What percentage of values lie within 1 standard deviation of the mean?

1

50%

2

68%

3

95%

4

99.7%

16

Multiple Choice

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What percentage of values lie within 2 standard deviations of the mean?

1

50%

2

68%

3

95%

4

99.7%

17

Multiple Choice

What percentage of values lie less than the mean?

1

50%

2

68%

3

95%

4

99.7%

18

Normal Distribution

This curve shows the normal distribution of heights of a group of people

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Normal Distribution

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27

Multiple Choice

XN(2, 9)X\sim N\left(2,\ 9\right)   What is the mean?

1

2

2

3

3

4.5

4

9

28

Multiple Choice

XN(2, 9)X\sim N\left(2,\ 9\right)   What is the variance?

1

2

2

3

3

4.5

4

9

29

Multiple Choice

XN(2, 9)X\sim N\left(2,\ 9\right)   What is the standard deviation?

1

2

2

3

3

4.5

4

9

30

Multiple Choice

XN(2, 9)X\sim N\left(2,\ 9\right)   What is  P(X>2)P\left(X>2\right)  

1

0.5

2

0.68

3

0.95

4

0.05

31

Multiple Choice

XN(2, 9)X\sim N\left(2,\ 9\right)   What is  P(X2)P\left(X\ge2\right)  

1

0.5

2

0.68

3

0.95

4

0.55

32

Multiple Choice

XN(2, 9)X\sim N\left(2,\ 9\right)   What is  P(1<X<5)P\left(-1<X<5\right)  

1

0.5

2

0.68

3

0.95

4

0.55

33

Multiple Choice

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XN(2, 9)X\sim N\left(2,\ 9\right)   What is  P(4<X<8)P\left(-4<X<8\right)  

1

0.5

2

0.68

3

0.95

4

0.55

34

Standard Normal Distribution

There are an infinite number of possibilities of means and standard deviations.

Therefore, there is a table, which makes use of the standardised normal distribution curve.

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35

Standard Normal Distribution

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36

Standard Normal Distribution

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Standard Normal Distribution

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38

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Normal Distribution

The Normal Distribution is SYMMETRICAL

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48

Multiple Choice

Question image

Select an equivalent probability to

P(Z>0.5)P\left(Z>-0.5\right)  

1

P(Z<0.5)P\left(Z<-0.5\right)  

2

P(Z<0.5)P\left(Z<0.5\right)  

3

P(Z>0.5)P\left(Z>0.5\right)  

49

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50

Multiple Choice

Question image

Select an equivalent probability to

P(Z<1.2)P\left(Z<-1.2\right)  

1

P(Z>1.2)P\left(Z>-1.2\right)  

2

P(Z<1.2)P\left(Z<1.2\right)  

3

P(Z>1.2)P\left(Z>1.2\right)  

51

Multiple Choice

Question image

Select 

P(Z<1.2)P\left(Z<-1.2\right)  

1

0.8849

2

-0.8849

3

0.1151

4

-0.1151

52

Multiple Choice

Question image

Select an equivalent probability to

ϕ(0.6)\phi\left(-0.6\right)  

1

ϕ(0.6)\phi\left(0.6\right)  

2

1ϕ(0.6)1-\phi\left(0.6\right)  

3

1ϕ(0.6)1-\phi\left(-0.6\right)  

53

Standard Normal Distribution

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How can we use the Standard Normal Distribution for all Normal Distributions

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59

How can we use the Standard Normal Distribution for all Normal Distributions

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60

How can we use the Standard Normal Distribution for all Normal Distributions

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61

Multiple Choice

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XN(1010, 202)X\sim N\left(1010,\ 20^2\right)   Calculate the z-value when x=1050

1

1

2

2

3

3

4

4

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Multiple Choice

XN(1010, 202)X\sim N\left(1010,\ 20^2\right)   Calculate the z-value when x=1040

1

1

2

3

3

1.5

4

2

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Multiple Choice

Question image

XN(1010, 202)X\sim N\left(1010,\ 20^2\right)   Select the diagram that represents  P(X<1040)P\left(X<1040\right)  

1
2
3
4

64

Multiple Choice

XN(1010, 202)X\sim N\left(1010,\ 20^2\right)   Calculate  P(X<1040)P\left(X<1040\right)  

1

0.9332

2

0.8531

3

0.6915

65

Multiple Choice

XN(1010, 202)X\sim N\left(1010,\ 20^2\right)   Select the diagram that represents  P(X>1040)P\left(X>1040\right)  

1
2
3
4

66

Multiple Choice

XN(1010, 202)X\sim N\left(1010,\ 20^2\right)   Calculate  P(X>1040)P\left(X>1040\right)  

1

0.1332

2

0.8531

3

0.0668

4

0.6668

S1 Normal Distribution

-Understand the Normal Distribution Curve

-Use Normal Distribution tables


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