Numeracy and Data Analysis: Tabular Arrangement, Graphical Representation, Mean, Mode, Median, Range, Standard Deviation, and Forecasting Model

NUMERACY AND DATA
ANALYSIS

TABLE OF CONTENTS
INTRODUCTION.......................................................................................................................................3
MAIN BODY..............................................................................................................................................3
1. Arranging data in tabular structure:.................................................................................................3
2. Graphical representation of mentioned data set...............................................................................4
3. Representing the computation as follows.........................................................................................4
4. Formulating forecasting model for linear equation as below:..........................................................9
CONCLUSION.........................................................................................................................................11
REFERENCES..........................................................................................................................................12

INTRODUCTION
Data analysis is the systematic procedure of implementing statistical and logical data to
evaluate and obtain require information. In the current era, it is crucial for organization to have
effective data analytical system to obtain sufficient understanding and analysis of available
information so that effective and strategic decision can be taken. The present report will include
tabular arrangement of data along with graphical representation. It will include mean, mode,
median, range, standard deviation and discussion of equation in structured pattern.
MAIN BODY
1. Arranging data in tabular structure:
Serial
Number
Months Money incurred on marketing expenditure (In
pounds)
1 Jan 10
2 Feb 12
3 Mar 5
4 April 45
5 May 12
6 June 42
7 July 34
8 Aug 15
9 Sept 24
10 Oct 26

2. Graphical representation of mentioned data set
Jan
Feb
Mar
April
May
June
July
Aug
Sept
Oct
1 2 3 4 5 6 7 8 9 10
0
5
10
15
20
25
30
35
40
45
50
Money incurred on marketing expenditure (In
pounds)
Money incurred on
marketing expenditure (In
pounds)
Jan
Feb
Mar
April
May
June
July
Aug
Sept
Oct
1 2 3 4 5 6 7 8 9 10
0
5
10
15
20
25
30
35
40
45
50
Money incurred on marketing expenditure (In
pounds)
Money incurred on
marketing expenditure (In
pounds)
3. Representing the computation as follows
I. Determination of mean
Serial Number Months Money incurred
on marketing