Numeracy and Data Analysis

Numeracy and Data AnalysisNumeracy and Data Analysis

Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY...................................................................................................................................3
1. Arrangement of expenses data in tabular format:.............................................................3
2. Presenting the above data using two different types of charts:........................................3
3. Calculations and discussion of following:..........................................................................4
4. Linear forecasting model that is “y = mx + c” to calculate and discuss the followings:....7
Steps to calculate m value:.....................................................................................................7
Steps to calculate c value:.......................................................................................................7
Forecast the spending on transport on month 14 and month 16:............................................7
CONCLUSION................................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
Data analysis relates to process of storing and arranging information in order to derive
meaningful findings the approach of data analysis uses analytical and logical reasoning to derive
knowledge from facts. Through various tasks, the study-report explores various elements of
the data analysis. The report incorporates data on amount spent on transportation for ten
consecutive months to employ statistical techniques such as mean value, median, mode, and SD.
Also, linear forecast method is used to estimated expense for 14 and 16 months.
MAIN BODY
1. Arrangement of expenses data in tabular format:
Months Sum of money spend on
transport (in pounds)
January 90
February 120
March 110
April 150
May 170
June 80
July 190
August 180
September 120
October 100
2. Presenting the above data using two different types of charts:
Line Chart: Line graph is diagram that uses one or even more lines to display fluctuations in
data, like patterns, transitions, cycles, rates of transition and how datasets vary from each
another. In this context, the accompanying line chart depicts the amount spent on transportation
across various months: