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Numeracy and Data Analysis

   

Added on  2023-01-11

14 Pages1643 Words39 Views
Numeracy and Data
Analysis

Contents
INTRODUCTION.......................................................................................................................................3
MAIN BODY..............................................................................................................................................3
1. Arrangement of the data in a table format...........................................................................................3
2. Presentation of the data using any two types of charts.........................................................................3
CONCLUSION.........................................................................................................................................11
REFERENCES..........................................................................................................................................12

INTRODUCTION
Analysis of statistics and data requires the systematic use numerical or quantitative
equations for estimated details of the future phenomenon. This approach is primarily used to
approximate weather forecast data while retaining the reasonableness as reliable as possible
(Bennison, 2015). The new assignment will forecast data collection which is related with the bill
payments information in days ahead, based on past new month results. Statistical measures such
as mean, median and mode comprising scope and standard deviations can be used for more
numerical data analysis to this end.
MAIN BODY
1. Arrangement of the data in a table format
Month Type of bill Amount (in ‘00 pounds)
January Bank transfer bill 15
February Mobile bill 20
March Water bill 25
April News paper bill 15
May Internet bill 20
June Food bill 10
July Heating bill 10
August Television bill 15
September Grocery bill 20
October Transportation bill 25
2. Presentation of the data using any two types of charts
Column Chart: A column chart is a description of information in a chart. Column
diagrams show longitudinal lines uniformly around the graph, with both the properties axis
appearing on the left side of the line. A column diagram is a chart overview of the details.
Column graphs view consistently longitudinal lines across the chart, of both directions of
resources occurring on the left side of row.

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