This document provides an overview of a quantitative techniques course for a B.Com program. It discusses the objectives of learning about tabulation, including presenting data in textual and tabular formats and constructing frequency distributions. It also covers types of tables like general tables and summary tables, as well as simple and complex tables. An example is provided for constructing a blank table to show employee distribution by sex, grade, age group, and year for a nationalized bank. Finally, it concludes with some multiple choice questions about topics like bivariate frequency distributions and the components of a statistical table.

1. PROGRAMME B.COM
SUBJECT
QUANTITATIVE TECHNIQUE – I
SEMESTER III
UNIVERSITY VIJAYANAGAR SRI
KRISHNADEVARAYA UNIVERSITY,
BALLARI
SESSION 16

2. RECAP
• Tabulation of Data, Meaning, Objectives & Rules for
Tabulation

3. LEARNING OBJECTIVES
• The aim of the chapter is to make students to
present data in textual and Tabular format including
the technique of creating frequency distribution
and working out bi-variate distribution table

4. LEARNING OUTCOMES
• After the Chapter, The Students Shall be able to
Describe and Understand the Rules & Types of
Classification, Frequency Distribution, Class Interval
& its Types, Basic Principles Tabulation and The
Sorting of Data.

5. SESSION - 16
• Types of Tables, Preparation of Blank Table and
Problems - 01

6. Types of Tables
• Statistical tables can be classified under two general
categories, namely, general tables and summary
tables.
General tables contain a collection of detailed
information including all that is relevant to the
subject or theme.
Summary tables are designed to serve some
specific purposes. They are smaller in size than
general tables, emphasize on some aspect of data
and are generally incorporated within the text.

7. CONTD
• The statistical tables may further be classified into two
broad classes namely simple tables and complex
tables.
 A simple table summarizes information on a
single characteristic and is also called a univariate
table.
 A complex table summarizes the complicated
information and presents them into two or more
interrelated categories.

8. Preparation of Blank Table
FORMAT OF TABLE
TITLE HEAD NOTE
Footnote Table Number Source
STUB HEADING CAPTION
COLUMN HEADING / COLUMN HEADING
SUB
ENTRIES
BODY

9. Example 01
• Draft a blank table to show the distribution of
employees in a in a nationalized bank according to
Sex ; Male and Female
Grade ; Below Rs. 1000, Rs.1000-1500,
Periods ; 2011 and 2012
Age Group ; Below 25, 25-40,

10. CONTD
Distribution Of Employees Of A Nationalized Bank
(Age, Sex, Salary, and For Two years)
YEA
R
AGE
GRO--
UPS
GRADE SALARIES
TOTAL
BELOW RS 1000 RS 1000- 1500
2011 Below
25
25-40
MALE FEMALE TOTAL MALE FEMALE TOTAL MALE FEMALE TOTAL
TOTAL
2012 Below
25
25-40
TOTAL

11. SUMMARY
As we already discussed and learnt today on
Classifications and Tabulation as below
• Types of Tables, Preparation of Blank Table and
Problems 01

12. MCQs
1 . A frequency distribution formed considering two
variables at a time is called:
(a) Univariate frequency distribution
(b) Bivariate frequency distribution
(c) Trivariate frequency distribution
(d) Bimodal distribution
2 . The arrangement of data in rows and columns is
called:
(a) Classification
(b) Tabulation
(c) Frequency distribution
(d) Cumulative frequency distribution

13. MCQs
3 . When the qualitative or quantitative raw data are
classified according to one characteristic, the
tabulation of different groups is called:
(a) Dichotomy
(b) Manifold-division
(c) Bivariate
(d) One-way
4 . A statistical table consists of at least:
(a) Two parts
(b) Three parts
(c) Four parts
(d) Five parts

14. MCQs
5 . In a statistical table, prefatory note is shown:
(a) Below the body
(b) Box head `
(c) Foot note
(d) Below the title

15. CONTD
ANSWERS
1. B
2. B
3. D
4. C
5. D

16. REFERENCES
• S.P. Gupta, Sultan Chand and Sons Publications, 2017
• S. C. Gupta, Himalaya Publishing House,
Fundamentals of Statistics, 2018
• R.S.N Pillai and Bagavathi, S.Chand publications, 2010

17. THANK YOU