Frequency Histograms & Distributions Learning Objectives At - - PowerPoint PPT Presentation

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Frequency Histograms & Distributions Learning Objectives At - - PowerPoint PPT Presentation

Chapter 2.1 Frequency Histograms & Distributions Learning Objectives At the end of this lecture, the student should be able to: State the steps for drawing a frequency histogram. Name two types of distributions and explain how they


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SLIDE 1

Chapter 2.1

Frequency Histograms & Distributions

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SLIDE 2

Learning Objectives

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

  • State the steps for drawing a frequency histogram.
  • Name two types of distributions and explain how they

look.

  • Define what an outlier is.
  • Say one reason why you would make a frequency

histogram.

  • Define relative frequency and cumulative frequency.
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SLIDE 3

Introduction

  • Review of frequency

histograms and relative frequency histograms

  • Description of five

common distributions in statistics

  • Explanation of outliers

Photo by BlairSmith66

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SLIDE 4

What is a Frequency Histogram?

Charting the Frequency Table

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SLIDE 5

Frequency Histogram

  • Explain what a

frequency histogram is

  • Describe the steps to

drawing a frequency histogram

  • Explain relative

frequency histogram

Photo by Rego Korosi

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SLIDE 6

What is a Frequency Histogram?

  • It’s a specific type of bar

chart made from data in a frequency table.

  • Frequency histograms

and relative frequency histograms.

  • The purpose of the chart

is to identify the “distribution” of the data.

Photo by Loqueveo

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SLIDE 7

Steps to Follow to Draw a Frequency Histogram

1. Make a frequency table.

Clas Class s Limit Limits Freq eq- uenc uency Rela elativ tive Freq eq- uenc uency 1-8 miles 14 0.23 9-16 miles 21 0.35 17-24 miles 11 0.18 25-32 miles 6 0.10 33-40 miles 4 0.07 41-48 miles 4 0.07 Total 60 1.00

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SLIDE 8

Steps to Follow to Draw a Frequency Histogram

1. Make a frequency table. 2. Draw a vertical line for the y- axis.

5 10 15 20 25 30 Frequency of Patients Class (Miles Transported)

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SLIDE 9

5 10 15 20 25 30 Frequency of Patients Class (Miles Transported)

Steps to Follow to Draw a Frequency Histogram

1. Make a frequency table. 2. Draw a vertical line for the y- axis. 3. Write “Frequency of _______” along the y-axis.

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SLIDE 10

5 10 15 20 25 30 Frequency of Patients Class (Miles Transported)

Steps to Follow to Draw a Frequency Histogram

1. Make a frequency table. 2. Draw a vertical line for the y- axis. 3. Write “Frequency of _______” along the y-axis. 4. Draw a horizontal line for the x-axis.

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SLIDE 11

5 10 15 20 25 30 Frequency of Patients Class (Miles Transported)

Steps to Follow to Draw a Frequency Histogram

1. Make a frequency table. 2. Draw a vertical line for the y- axis. 3. Write “Frequency of _______” along the y-axis. 4. Draw a horizontal line for the x-axis. 5. Write the classes below the x- axis and label them.

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SLIDE 12

5 10 15 20 25 30 Frequency of Patients Class (Miles Transported)

Steps to Follow to Draw a Frequency Histogram

6. For the first class, find the frequency in the table. Look for it on the y-axis and draw a horizontal line.

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SLIDE 13

5 10 15 20 25 30 Frequency of Patients Class (Miles Transported)

Steps to Follow to Draw a Frequency Histogram

6. For the first class, find the frequency in the table. Look for it on the y-axis and draw a horizontal line. 7. Draw two vertical lines down to make a bar.

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SLIDE 14

5 10 15 20 25 30 Frequency of Patients Class (Miles Transported)

Steps to Follow to Draw a Frequency Histogram

6. For the first class, find the frequency in the table. Look for it on the y-axis and draw a horizontal line. 7. Draw two vertical lines down to make a bar. 8. Repeat for all the other classes. 9. Color in the bars

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SLIDE 15

Relative Frequency Histogram

  • In the relative frequency

histogram, the relative frequency goes on the y- axis.

  • The chart looks takes on a

similar pattern.

  • Relative frequency better

for comparing two populations or two samples.

0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40

Relative Frequency of Patients Class (Miles Transported)

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SLIDE 16

Frequency & Relative Frequency Histograms

  • After making a frequency

table, it is important to also make a frequency histogram and/or a relative frequency histogram.

  • These are used to reveal

the “distribution” in the data

Photo by Gabriel Miguel Gutierrez Valenzuela

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SLIDE 17

Understanding Distributions

Frequency Histograms Reveal Distributions

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SLIDE 18

Distributions

  • Define distribution and

why it is important to know the distribution

  • Describe outliers and

how they can be found using histograms

  • Example cumulative

frequency and ogives

Photo by Keith Hall from UK

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SLIDE 19

What is a Distribution?

  • It is the shape that is

made if you draw a line along the edges of a histogram’s bars.

  • A stem-and-leaf of the

same data will make the same shape on its side.

10 20 30 1-8 9-16 17-24 25-32 33-40 41-48 Frequency Class

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SLIDE 20

5 Main Types of Distributions

  • 1. Normal distribution (also

called mound-shaped symmetrical)

  • 2. Uniform distribution
  • 3. Skewed left distribution
  • 4. Skewed right distribution
  • 5. Bimodal distribution
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SLIDE 21

5 Main Types of Distributions

  • 1. Normal distribution (also

called mound-shaped symmetrical)

  • 2. Uniform distribution
  • 3. Skewed left distribution
  • 4. Skewed right distribution
  • 5. Bimodal distribution

1 2 3 4 5 6 7 1 2 3 4 5 6 Frequency Class

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SLIDE 22

5 Main Types of Distributions

  • 1. Normal distribution (also

called mound-shaped symmetrical)

  • 2. Uniform distribution
  • 3. Skewed left distribution
  • 4. Skewed right distribution
  • 5. Bimodal distribution

1 2 3 4 5 6 7 1 2 3 4 5 6 Frequency Class

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SLIDE 23

5 Main Types of Distributions

  • 1. Normal distribution (also

called mound-shaped symmetrical)

  • 2. Uniform distribution
  • 3. Skewed left distribution
  • 4. Skewed right distribution
  • 5. Bimodal distribution

1 2 3 4 5 6 7 1 2 3 4 5 6 Frequency Class

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SLIDE 24

5 Main Types of Distributions

  • 1. Normal distribution (also

called mound-shaped symmetrical)

  • 2. Uniform distribution
  • 3. Skewed left distribution
  • 4. Skewed right distribution
  • 5. Bimodal distribution

1 2 3 4 5 6 7 1 2 3 4 5 6 Frequency Class

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SLIDE 25

5 Main Types of Distributions

  • 1. Normal distribution (also

called mound-shaped symmetrical)

  • 2. Uniform distribution
  • 3. Skewed left distribution
  • 4. Skewed right distribution
  • 5. Bimodal distribution

1 2 3 4 5 6 7 1 2 3 4 5 6 Frequency Class

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SLIDE 26

Outliers

Outliers are data values that are “very different” from other measurements in the dataset.

2 4 6 Class 1 Class 2 Class 3 Class 4 Class 5 Class 6 Class 7 Class 8 Class 9 Frequency

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SLIDE 27

Cumulative Frequency

  • In “cumulative frequency”,

you add up all the classes before the class you are on.

  • The first class is always the

same as the frequency.

  • Each cumulative frequency

is equal to or higher than the last one.

Clas Class s Limit Limits Freq eq- uenc uency

Cum Cumula ulativ tive e Frequ equenc ency

1-8 miles 14 14 9-16 miles 21 14+21=35 17-24 miles 11 35+11=46 25-32 miles 6 46+6=52 33-40 miles 4 52+4=56 41-48 miles 4 56+4=60 Total 60 60

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SLIDE 28

Chart of Cumulative Frequency: Ogive

  • Classes along the x axis,

and cumulative frequency along the y-axis

  • Because cumulative

frequency goes up from class to class, the ogive line always goes up to the top frequency.

From JLW87/Wikimedia Commons

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SLIDE 29

Distributions

  • There are 5 main types of

distributions used in statistics.

  • Histograms and stem-

and-leaf displays are used to look for outliers.

  • An ogive is a chart of

cumulative frequency.

Photo by Lariob

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SLIDE 30

Conclusion

  • The purpose of the

histogram is to reveal the distribution

  • Stem-and-leaf displays

also reveal the distribution

  • Knowing the distribution

is important in statistics

Photo by Mark Dixon