Numeracy and Data Analysis: Tabular and Graphical Presentation of Data

NUMERACY AND DATA
ANALYSIS

TABLE OF CONTENTS
INTRODUCTION.......................................................................................................................................3
MAIN BODY..............................................................................................................................................3
1. Arranging the data related to advertisement expenses in the tabular format....................................3
2. Graphical representation of selected expenditure data.....................................................................4
3. Reflecting the required calculations as below:.................................................................................4
4. Forecasting linear equation model is shown as below:....................................................................9
CONCLUSION.........................................................................................................................................10
REFERENCES..........................................................................................................................................11

INTRODUCTION
Numerical and Data Analysis (NDA) is the one of the important part to get accurate
information for the purpose of decision making. In the current scenario, scope of data analysis
has increased which improves efficiency and accuracy of strategic decision formulation practices
of organization. The present report is based on presenting statistical data set in pictorial & tabular
manner regarding advertisement expenditure. Current report will include calculation and
discussion regarding the mead, mode, median, standard deviation. It will involve utilization of
linear forecasting model to fulfill the requirement of report by calculating m & c value.
MAIN BODY
1. Arranging the data related to advertisement expenses in the tabular format
Serial No. Months Money incurred on
Advertisement expenses
1 Mar 25
2 April 19
3 May 30
4 June 34
5 July 19
6 Aug 45
7 Sept 50
8 Oct 19
9 Nov 42
10 Dec 65

2. Graphical representation of selected expenditure data
Mar
April
May
June
July
Aug
Sept
Oct
Nov
Dec
1 2 3 4 5 6 7 8 9 10
0
10
20
30
40
50
60
70
Money spent on Advertisement
expenses
Money spent on
Advertisement expenses
Mar
April
May
June
July
Aug
Sept
Oct
Nov
Dec
1 2 3 4 5 6 7 8 9 10
0
10
20
30
40
50
60
70
Money spent on Advertisement
expenses
Money spent on
Advertisement expenses
3. Reflecting the required calculations as below:
I. Mean Determination as follows:
Serial No. Months Money Spent on
Advertisement expenses