Numeracy and Data Analysis

Numeracy and Data Analysis

Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
1. Presentation of selected expenditure data in tabular form:......................................................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
Data analysis corresponds to data evaluation, inspection, transition, and processing
mechanism that aims to uncover crucial information inform findings, and assists in decisions.
Data analysis processes has various characteristics and methods, underneath number of labels
containing multiple tactics, and is employed in various fields of business, studies, and social
research. Data analysis serves a part in taking more rational decisions in contemporary’s
business environment and enabling entities run more smoothly (Miles, Huberman and Saldaña,
2018). The study-assessment encompasses different data analysis-related principles such as
the standard deviation, mode, mean formula, median etc. with the 10 consecutive
months' expenditure data. In addition, the report covers linear forecasting method to estimate
expenditures for month eleven and twelve.
MAIN BODY
1. Presentation of selected expenditure data in tabular form:
Month Monthly Incurred Exp.
January 1850
February 1950
March 1720
April 1930
May 1890
June 1720
July 1750
August 1970
September 1640
October 2000
2. Presenting selected data of expenses with help of two different charts:
Column chart: This graph basically displays data in multiple columns that aid to comprehend
main data set patterns.