Numeracy and Data Analysis

Numeracy and Data
Analysis

Contents
Contents...........................................................................................................................................2
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
Arranging selected data into a table format:................................................................................3
Presentation of chosen data through multiple graphs:.................................................................3
Calculations and discussion/review on following aspects:..........................................................5
Linear forecasting model which is y = mx + c in attempt to do below presented calculations:..6
CONCLUSION................................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
Numeracy relates to ability related to justify and incorporate basic concepts of numeric.
Basic numeracy abilities include understanding of simple arithmetic such as addition,
subtractions, multiplications and division. While data analysis is method/technique of gathering
and arranging data/ raw details so that researcher can extract meaningful
knowledge/insights from it. The key aim of the process of data analysis, in simple words, is to
focus at what data is attempting to tell (Mulligan, 2015). The study-report emphasises on the
various aspects of data analysis and use of statistical methods. Herein report 10 random recent
bill payments have been chosen to apply statistical techniques like mean, mode, SD, median as
well as presentation of data on different graphs. Moreover, this also estimates the bill payment at
21st and 14th day applying linear-forecasting model.
MAIN BODY
Arranging selected data into a table format:
Date Expense bill Amount (in ‘00 GBP)
01-May Groceries bill 23
04-May Utility bill 35
05-May Clothing bill 15
08-May Entertainment bill 37
09-May Gifts bill 25
10-May Day-care bill 23
17-May Rent Bill 15
20-May Tuition Bill 20
21-May Eating at restaurant Bill 24
22-May Car Insurance Bill 15
Presentation of chosen data through multiple graphs:
Line Chart: Data points are depicted by line charts using one or even more horizontal lines. The
diagram helps to distribute categories across horizontal axis and figures along vertical axis.
Here, horizontal line joins the markings and provides a clear view of patterns in results. When