UNIT I
MEASURES OF CENTRAL TENDENCY
AND DISPERSION
ARITHMETIC MEAN DIRECT METHOD
EXAMPLE 1
Calculate the Simple Arithmetic Average of the
following items by Direct Method:
Size of the item (X)
20
50
72
28
53
74
34
54
75
39
59
78
42
64
79
ARITHMETIC MEAN S

UNIT III
C O R R E L AT I O N
C O R R E L AT I O N
Correlation analysis is used to Measure
strength of the association between two
variables
Only concerned with strength of the
relationship
No causal effect is implied
EXAMPLE
80000
YEAR
ADV. BUDGET
SAL

Unit 2: Regression
Analysis.
1
Correlation & Regression
coefficients.
Find the value of the correlation coefficient
if regression coefficients of Y on X and X
on Y are 0.46 and 0.8 respectively.
Answer : r = 0.606
2
Method of LEAST SQUARES.
The method of

Unit 2: Regression
Analysis.
1
Correlation & Regression
coefficients.
Find the value of the correlation coefficient
if regression coefficients of Y on X and X
on Y are 0.46 and 0.8 respectively.
Answer : r = 0.606
2
Method of LEAST SQUARES.
The method of

LINEAR PROGRAMMING PROBLEM
GRAPHICAL METHOD
UNIT 6
A large number of decision problems faced
by a manager involve allocation of resources
to various activities, with the object of
increasing profits or decreasing cost.
Normally, the resources are scarce a

Probability and Statistical Decision Theory
A. PROBABLITY
If an experiment has n mutually exclusive, equally likely and exhaustive cases, out of which
m are favourable to the happening of the event A, then the probability of the happening of A
is denoted

UNIT VI: Linear Programming
Quantitative Decision Making
Index
Unit VI: Linear Programming and Problem Formulation.3
6.01 INTRODUCTION.3
6.02 REQUIREMENTS FOR APPLICATION OF LINEAR PROGRAMMING.3
6.03 ASSUMPTIONS UNDERLYING LINEAR PROGRAMMING.3
6.04 ADVANT

TIME SERIES &
FORECASTING.
Components of Time Series.
Trend - Moving averages, semi-averages and
least-squares.
Seasonal variation, cyclic variation and
irregular variation.
Index numbers,
calculation of seasonal
indices.
Additive and multiplicative

Unit IV: Time Series Analysis and Forecasting
Content
Components of Time Series, Trend - Moving averages, semi-averages and least-squares, seasonal variation, cyclic
variation and irregular variation, Index numbers, calculation of seasonal indices, Additi

UNIT I
MEASURES OF DISPERSION
WHAT IS DISPERSION?
Dispersion or spread is the degree of the scatter
or variation of the variable about a central value.
Dispersion is the measure of the variations of the
item
The degree to which numerical data tend to
s

UNIT I
MEDIAN AND MODE
MEDIAN
Median is defined as the middle most or the
central value of the variable in a set of
observations, when the observations are
arranged either in ascending or in descending
order of their magnitudes.
It divides the arranged

TIME SERIES ANALYSIS &
FORECASTING
Components of Time Series
Trend - Moving averages, semi-averages and leastsquares.
seasonal variation
cyclic variation and irregular variation.
Index numbers.
calculation of seasonal indices.
Additive and multiplicativ

Unit I: Measures of Central Tendency & Dispersion
Content:
Measures of Central Tendency: Arithmetic Mean, Median, Mode, Comparison of Mean, Median and
Mode.
Measures Dispersion: Range, Quartile Deviation, Mean Deviation, Standard Deviation, Relative
Dispe

UNIT-III
CORRELATION ANALYSIS
CONTENTS
Karl Pearsons method,
Coefficient of Determination,
Rank Correlation.
Uses & properties of correlation coefficient.
Lag and lead in correlation,
Correlation in grouped data;
Concept of Covariance, multiple and partia