DATA HANDLING

Submitted By: Hemant Karakoti

June 2015

Dehradun, Uttarakhand

CONTENTS

1)Looking For Information

2)Organizing Data

3)Grouping Data

4)Circle Graph & Pie Chart

5)Chance & Probability

1: LOOKING FOR INFORMATION

The information collected in all such cases is called

“DATA”

Data is usually collected in the context of a

situation that we want to study.

Sometime data is represented graphically to give a

clear idea of what it represent.

TYPE OF GRAPHS

A PICTOGRAPH

A BARGRAPH

A DOUBLE BAR GRAPH

A PICTOGRAPH

A pictorial representation of data using symbols.

A BARGRAPH

A display of information using bar of uniform width, their

heights begin proportional to the respective values.

A DOUBLE BAR GRAPH

A bar graph showing two set of data simultaneously

called double bar graph.

2: ORGANIZING DATA

Data available to us in an unorganized form is

called raw data.

To organize the raw data in a systematic way is

called data organization.

Frequency gives the number of times that a

particular entry occurs.

3: GROUPING DATA

Grouped data is data that has been organized into

groups known as classes.

A data class is group of data which is related by

some user defined property.

Grouped data has been 'classified' and thus some

level of data analysis has taken place, which means

that the data is no longer raw.

GROUPING OF DATA IN FREQUENCY DISTRIBUTION TABLE

FREQUENCY DISTRIBUTION

A frequency distribution is a table that displays the

frequency of various outcomes in a sample.

HISTOGRAM

A histogram is a graphical representation of the distribution

of numerical data.

4: CIRCLE GRAPH & PIE CHART

Data representation in a circular form is called

circle graph.

Circle graph shows the relationship between a

whole and it’s parts.

A pie chart (or a circle chart) is a circular

statistical graphic, which is divided into slices to

illustrate numerical proportion.

PIE CHART

5: CHANCE & PROBABILITY

Probability is the measure of the likeliness that an

event will occur.

Probability is quantified as a number between 0

and 1 (where 0 indicates impossibility and 1

indicates certainty).

EQUALLY LIKELY OUTCOMES

For some experiments it is intuitive that all outcomes of

the experiment are equally likely.

for example the outcomes{1, 2, 3, 4,5, 6} from rolling a

fair die is equally likely.

since the probabilities have to sum up to one each

element has a probability of 1/6.

THANK YOU !!