Numeracy and Data Analysis

Numeracy and Data Analysis

Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
1. Arranging chosen data of expenses in table format:...............................................................3
2. Presenting selected data of expenses with help of two different charts:.................................3
3. Calculate and discuss the followings:......................................................................................5
4. Linear forecasting model which is y = mx + c:.......................................................................8
CONCLUSION..............................................................................................................................10
REFERENCES..............................................................................................................................11

INTRODUCTION
Small, firms retail firms, in healthcare, and also in the field of sports utilizing data
analysis. This is a language that is global and more relevant than it has ever been. It sounds like
an advanced theory, but the study of knowledge is only just few concepts put into operation. The
procedure of analyzing data utilizing analytical or mathematical methods to discover valuable
information is regarded as data analysis (Kamilaris, Kartakoullis and Prenafeta-Boldú, 2017).
The study-assessment covers multiple concepts related to data analysis like standard deviation,
mean method, mode value, median etc. of data of monthly expenses for 10 sequential months.
Further, the study consists of linear forecasting model to make forecast of month 11 and month
12 expenses.
MAIN BODY
1. Arranging chosen data of expenses in table format:
Month Monthly Expenses
Jan 8000
Feb 9000
March 7000
April 6000
May 8000
June 6000
July 8000
Aug 10000
Sep 14000
Oct 12000
2. Presenting selected data of expenses with help of two different charts:
Column chart: This chart simply depicts data in different column which help to interpret crucial
trend in data set.

Jan Feb March April May June July Aug Sep
0
2000
4000
6000
8000
10000
12000
14000
16000
8000
9000
7000
6000
8000
6000
8000
10000
14000
Monthly Expenses
Monthly Expenses
Bar chart: Under this chart, horizontal bars are used to depict data set. one axis shows values to
be shown on bars while other shows series of data like in our case months.
Jan
Feb
March
April
May
June
July
Aug
Sep
Oct
0
2000
4000
6000
8000
10000
12000
14000
16000
8000
9000
7000
6000
8000
6000
8000
10000
14000
12000
Monthly Expenses
Monthly Expenses