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# PPT - Classification and Tabulation, B Com Notes | EduRev

## B Com : PPT - Classification and Tabulation, B Com Notes | EduRev

``` Page 1

CLASSIFICATION
CLASSIFICATION
AND
AND
TABULATION OF DATA
TABULATION OF DATA
Dr.
Dr.
Bijaya Bhusan Nanda,
Bijaya Bhusan Nanda,
M. Sc (Gold Medalist) Ph. D. (Stat.)
M. Sc (Gold Medalist) Ph. D. (Stat.)
Topper Orissa Statistics & Economics
Topper Orissa Statistics & Economics
Services, 1988
Services, 1988
bijayabnanda@yahoo.com
bijayabnanda@yahoo.com
Lecture Series on
Lecture Series on
Biostatistics
Biostatistics
No. Bio-Stat_3 No. Bio-Stat_3
Date – 03.08.2008 Date – 03.08.2008
Page 2

CLASSIFICATION
CLASSIFICATION
AND
AND
TABULATION OF DATA
TABULATION OF DATA
Dr.
Dr.
Bijaya Bhusan Nanda,
Bijaya Bhusan Nanda,
M. Sc (Gold Medalist) Ph. D. (Stat.)
M. Sc (Gold Medalist) Ph. D. (Stat.)
Topper Orissa Statistics & Economics
Topper Orissa Statistics & Economics
Services, 1988
Services, 1988
bijayabnanda@yahoo.com
bijayabnanda@yahoo.com
Lecture Series on
Lecture Series on
Biostatistics
Biostatistics
No. Bio-Stat_3 No. Bio-Stat_3
Date – 03.08.2008 Date – 03.08.2008
LEARNING OBJECTIVES
LEARNING OBJECTIVES
?
The trainees will be able to do
The trainees will be able to do
meaningful classification of large
meaningful classification of large
mass of data and interpret the same.
mass of data and interpret the same.
?
They will be able to construct
They will be able to construct
frequency distribution table and
frequency distribution table and
interpret the same.
interpret the same.
?
They will be able to describe different
They will be able to describe different
parts of tables and types of table
parts of tables and types of table
Page 3

CLASSIFICATION
CLASSIFICATION
AND
AND
TABULATION OF DATA
TABULATION OF DATA
Dr.
Dr.
Bijaya Bhusan Nanda,
Bijaya Bhusan Nanda,
M. Sc (Gold Medalist) Ph. D. (Stat.)
M. Sc (Gold Medalist) Ph. D. (Stat.)
Topper Orissa Statistics & Economics
Topper Orissa Statistics & Economics
Services, 1988
Services, 1988
bijayabnanda@yahoo.com
bijayabnanda@yahoo.com
Lecture Series on
Lecture Series on
Biostatistics
Biostatistics
No. Bio-Stat_3 No. Bio-Stat_3
Date – 03.08.2008 Date – 03.08.2008
LEARNING OBJECTIVES
LEARNING OBJECTIVES
?
The trainees will be able to do
The trainees will be able to do
meaningful classification of large
meaningful classification of large
mass of data and interpret the same.
mass of data and interpret the same.
?
They will be able to construct
They will be able to construct
frequency distribution table and
frequency distribution table and
interpret the same.
interpret the same.
?
They will be able to describe different
They will be able to describe different
parts of tables and types of table
parts of tables and types of table
?
Concept of Variable
Concept of Variable
?
Ordered array
Ordered array
?
What is data Classification ?
What is data Classification ?
?
Objectives of Classification
Objectives of Classification
?
Frequency distributions
Frequency distributions
?
Variables and attributes
Variables and attributes

?
Tabulation of data
Tabulation of data
?
Parts of a table
Parts of a table
?
Type of tables
Type of tables
C O N T E N T
C O N T E N T
Page 4

CLASSIFICATION
CLASSIFICATION
AND
AND
TABULATION OF DATA
TABULATION OF DATA
Dr.
Dr.
Bijaya Bhusan Nanda,
Bijaya Bhusan Nanda,
M. Sc (Gold Medalist) Ph. D. (Stat.)
M. Sc (Gold Medalist) Ph. D. (Stat.)
Topper Orissa Statistics & Economics
Topper Orissa Statistics & Economics
Services, 1988
Services, 1988
bijayabnanda@yahoo.com
bijayabnanda@yahoo.com
Lecture Series on
Lecture Series on
Biostatistics
Biostatistics
No. Bio-Stat_3 No. Bio-Stat_3
Date – 03.08.2008 Date – 03.08.2008
LEARNING OBJECTIVES
LEARNING OBJECTIVES
?
The trainees will be able to do
The trainees will be able to do
meaningful classification of large
meaningful classification of large
mass of data and interpret the same.
mass of data and interpret the same.
?
They will be able to construct
They will be able to construct
frequency distribution table and
frequency distribution table and
interpret the same.
interpret the same.
?
They will be able to describe different
They will be able to describe different
parts of tables and types of table
parts of tables and types of table
?
Concept of Variable
Concept of Variable
?
Ordered array
Ordered array
?
What is data Classification ?
What is data Classification ?
?
Objectives of Classification
Objectives of Classification
?
Frequency distributions
Frequency distributions
?
Variables and attributes
Variables and attributes

?
Tabulation of data
Tabulation of data
?
Parts of a table
Parts of a table
?
Type of tables
Type of tables
C O N T E N T
C O N T E N T
Concept of Variable
Concept of Variable
?
Variable
Variable
A characteristic which takes on different
A characteristic which takes on different
values in different persons, place or
values in different persons, place or
things.
things.
Example
Example
: Diastolic/Systolic blood
: Diastolic/Systolic blood
pressure, heart rate, the heights of adult
pressure, heart rate, the heights of adult
males, the weights of preschool children
males, the weights of preschool children
and the ages of patients seen in a dental
and the ages of patients seen in a dental
clinic
clinic
Page 5

CLASSIFICATION
CLASSIFICATION
AND
AND
TABULATION OF DATA
TABULATION OF DATA
Dr.
Dr.
Bijaya Bhusan Nanda,
Bijaya Bhusan Nanda,
M. Sc (Gold Medalist) Ph. D. (Stat.)
M. Sc (Gold Medalist) Ph. D. (Stat.)
Topper Orissa Statistics & Economics
Topper Orissa Statistics & Economics
Services, 1988
Services, 1988
bijayabnanda@yahoo.com
bijayabnanda@yahoo.com
Lecture Series on
Lecture Series on
Biostatistics
Biostatistics
No. Bio-Stat_3 No. Bio-Stat_3
Date – 03.08.2008 Date – 03.08.2008
LEARNING OBJECTIVES
LEARNING OBJECTIVES
?
The trainees will be able to do
The trainees will be able to do
meaningful classification of large
meaningful classification of large
mass of data and interpret the same.
mass of data and interpret the same.
?
They will be able to construct
They will be able to construct
frequency distribution table and
frequency distribution table and
interpret the same.
interpret the same.
?
They will be able to describe different
They will be able to describe different
parts of tables and types of table
parts of tables and types of table
?
Concept of Variable
Concept of Variable
?
Ordered array
Ordered array
?
What is data Classification ?
What is data Classification ?
?
Objectives of Classification
Objectives of Classification
?
Frequency distributions
Frequency distributions
?
Variables and attributes
Variables and attributes

?
Tabulation of data
Tabulation of data
?
Parts of a table
Parts of a table
?
Type of tables
Type of tables
C O N T E N T
C O N T E N T
Concept of Variable
Concept of Variable
?
Variable
Variable
A characteristic which takes on different
A characteristic which takes on different
values in different persons, place or
values in different persons, place or
things.
things.
Example
Example
: Diastolic/Systolic blood
: Diastolic/Systolic blood
pressure, heart rate, the heights of adult
pressure, heart rate, the heights of adult
males, the weights of preschool children
males, the weights of preschool children
and the ages of patients seen in a dental
and the ages of patients seen in a dental
clinic
clinic
?
Quantitative Variable:-
Quantitative Variable:-
One that can be
One that can be
measured and expressed numerically. The
measured and expressed numerically. The
measurements convey information regarding
measurements convey information regarding
amount.
amount.
Example
Example
:
:
Diastolic/Systolic blood pressure, heart
Diastolic/Systolic blood pressure, heart
rate, the heights of adult males, the weights of
rate, the heights of adult males, the weights of
preschool children and the ages of patients seen
preschool children and the ages of patients seen
in a dental clinic
in a dental clinic
?
Qualitative Variable:-
Qualitative Variable:-
The characteristics that
The characteristics that
can’t be measured quantitatively but can be
can’t be measured quantitatively but can be
categorized. The measurement convey
categorized. The measurement convey
information regarding the attribute. The
information regarding the attribute. The
measurement in real sense can’t be achieved but
measurement in real sense can’t be achieved but
persons, places or things belonging to different
persons, places or things belonging to different
categories can be counted.
categories can be counted.
Example:
Example:
sex of a patient, colure and odour of
sex of a patient, colure and odour of
stool and urine samples etc.
stool and urine samples etc.
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