Graphical Representation of Data, Slides of Statistics

Types of graphs and charts that we usually come across in statistics. Also teaches us how to draw "box plots"

Typology: Slides

2020/2021

Uploaded on 12/15/2021

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TYPES OF CHARTS AND
GRAPH IN STATISTICS
Advantages:
a picture is worth a thousand words
make data simple and intelligible
great memorizing effects
universal utility
save time and labour
make comparison easy
attractive and impressive
Disadvantages:
numeric detail offered by a table is lost
additional relationships within the data is not known
formatting charts needs more time than tabulation
Why graph and charts?
Definition of Bar Graph
A Bar Graph is a chart that
uses either horizontal or vertical
bars to show comparisons
between categories
Classification of Bar Charts
Bar Charts
Single (vertical)
Multiple Stacked
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TYPES OF CHARTS AND

GRAPH IN STATISTICS

Advantages:

∙ a picture is worth a thousand words

∙ make data simple and intelligible

∙ great memorizing effects

∙ universal utility

∙ save time and labour

∙ make comparison easy

∙ attractive and impressive

Disadvantages:

  • numeric detail offered by a table is lost
  • additional relationships within the data is not known
  • formatting charts needs more time than tabulation

Why graph and charts?

Definition of Bar Graph

❑ A Bar Graph is a chart that

uses either horizontal or vertical

bars to show comparisons

between categories

Classification of Bar Charts

Bar Charts

Single (vertical)

Multiple

Stacked

Y –

Axis

Represents

individually

separate and

distinct values.

X-

Axis Shows the

specific

categories being

compared.

Advantages of Bar chart

  • show each data category in a frequency

distribution

  • display relative numbers or proportions of

multiple categories

  • summarize a large data set in visual form
  • estimate key values at a glance
  • be easily understood due to widespread use in

business and the media

Disadvantages of Bar graph

  • require additional explanation
  • be easily manipulated to yield false

impressions

  • fail to reveal key assumptions, causes, effects,

or patterns

Years 1989 1990 1991 1992 1993

Profit

(million

$$)

10 12 18 25 42

EXAMPLE

EXAMPLE

EXPENSE OF FAMILY A B

FOOD 2000 1700

CLOTHING 2400 2800

PETROL 1000 1100

TOTAL 5400 5600

GRAPH

REPRESENTATION

1000 1100

2400 2800

2000 1700

100

%

80

%

60

%

40

%

20

%

0

%

A B

Chart

Title

FOO

D

CLOTHI

NG

PETR

OL

HISTOGR

AM

HISTOGRAM

  • What is Histogram?

Ans :- Histogram is a graphical representation

that is helpful to organise and display the data

in more user-friendly format.

  • Uses of Histogram
  1. It helps in comparing process within

specified limits.

  1. It summarizes large data.
  2. It assists in decision making.

EXAMPLE

CLASS IINTERVAL

PRICE RANGE OF

PENS)

20 - 30 30 - 40 40 - 50 50 - 60

FREQUENCY(NUMBE

R OF PENS)

15 20 30 25

GRAPH

35

30

25

20

15

10

5

0

20 -

30

30 -

40

40 -

50

50 -

60

FREQUENC

Y

20 - 30 30 - 40

40 - 50

50 -

60

EXAMPLE

  • Let us take a large set of numbers :-

24, 17, 14, 22, 25, 26, 38, 42, 47, 24,

12, 28,

19, 32, 21, 46, 35, 28, 21, 31, 18, 19. INTERVAL TALLY FREQUENCY

15 - 20 |||| 4

20 - 25 |||| 5

25 - 30 |||| 4

30 - 35 || 2

35 - 40 || 2

40 - 45 | 1

45 - 50 || 2

GRAPH

5

4 4

2 2 2

1

6 5 4 3 2 1 0

15 -

20

20 -

25

25 -

30

30 -

35

35 -

40

40 -

45

45 -

50

Series

1

15 -

20

20 -

25

25 -

30

30 -

35

35 -

40

40 -

45

45 -

50

Constructing Statistical Graphs-

General Procedures

  • Draw and label the x and y-axes
  • Choose a suitable scale for the

frequencies or cumulative frequencies,

and label it on the y- axis.

  • Represent the class boundaries for the

histogram or ogive, or the midpoint for

the frequency polygon, on the x-axis.

  • Plot the points and then draw the

bars or lines.

Example

The following data consists of weights, in kilograms, of 20 people:

50, 65, 75, 80, 85, 85, 86, 86, 87, 87, 87, 90, 92, 98, 105.

Placing this data into a stem and leaf plot helps us organise and analyse and

group our data better. This is not a necessary step.

Step 1: Group your data into the table.

Tally Frequency

Cumulativ

e

Frequenc

y

40<weights<

50<weights<

60<weights<

70<weights<

80<weights<

90<weights<

100<weights<

Step 5: Draw your graph

  • The first coordinate in the plot always starts at a
  • value of 0
  • The second coordinate is at the end of the first interval.
  • The third coordinate is at the end of the second interval and

so on

Definition of Pie-Chart

  • A pie chart (also called a Pie Graph or

Circle Graph) makes use of sectors in

a circle. The angle of a sector is

proportional to the frequency of the

data.

  • A pie chart is a good way of displaying

data when you want to show how

something is shared or divided.

The formula to determine the angle

of

a sector in a circle graph is:

ANGLE OF SECTOR = FREQUENCY OF
THE DATA

TOTAL FREQUENCY

X

3

60

EXAMPLE

  • In a school, there are 750

students in Year1, 420 students

in Year 2 and 630 students in

Year 3. Draw a circle graph to

represent the numbers of

students in these groups.

SOLUTION

  • Total number of students = 750 + 420 + 630 =

Year 1 size of

angle =

X

=

150

o

Year 2 size of

angle =

Year 3 size of

angle =

42

0180

0

630

1800

750

1800

X

=

X360 =

8

4

o

126

o

42%

23%

35%

No. of

students

Year

1

Year

2

Year

3

150 X

= 42%

360

36

0

84 X

= 23%

36

0

So, In

percentage =

So, In

percentage =

So, In percentage =

126

X100 =

35%

Advantages

  • Size of the circle can be made proportional

to the total quantity it represents

  • Summarize a large data set in visual form
  • Be visually simpler than other types of

graphs

  • Permit a visual check of the

reasonableness or accuracy of

calculations

  • Require minimal additional explanation
  • Be easily understood due to widespread

use in business and the media

Advantages

  • Easy to read.
  • Visually

appealing.

Disadvantages

  • They are difficult to draw
  • Icons must be of consistent

size.

  • Best for only 2-6 categories.
  • Very simplistic

box plot

  • Box plots (also called box-and-whisker plots or box-

whisker plots ) give a good graphical image of the

concentration of the data.

  • They also show how far the extreme values are from most

of the data.

  • A box plot is constructed from five values: the minimum

value, the first quartile, the median, the third quartile, and

the maximum value.

  • We use these values to compare how close other data

values are to them.

Step 1 – Order Numbers

  1. Order the set of numbers from least to

greatest

  1. Find the median. The median is the middle number. If

the data has two middle numbers, find the mean of

the two numbers. What is the median?

Step 2 – Find the Median

  1. Find the lower and upper medians or quartiles.

These are the middle numbers on each side of the

median. What are they?

Step 3 – Upper & Lower Quartiles

Now you are ready to construct the actual box & whisker

graph. First you will need to draw an ordinary number

line that extends far enough in both directions to include

all the numbers in your data:

Step 4 – Draw a Number

Line

Locate the main median 12 using a vertical

line just above your number line:

Step 5 – Draw the

Parts • Next, draw a box using the lower and upper

median lines as endpoints:

Step 5 – Draw the

Parts

CARTOGRAM

CARTOGRAM