Numeracy and Data Analysis: Interpreting Humidity Data of Durham

and Data Analysis
(Pass Criteria)

Contents
INTRODUCTION...........................................................................................................................3
TASK...............................................................................................................................................3
I. Presentation of data in table format..........................................................................................3
II. Presentation of data in two appropriate charts........................................................................4
III. Calculation of different measures of central tendency and measures of dispersion..............4
IV. Calculation of different elements of linear forecasting model..............................................7
.........................................................................................................................................................7
CONCLUSION................................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
Numeracy refers to the knowledge, skill set that is required by individuals and/or group of
individuals to use the tools of mathematics in different situations. Data analysis is a process by
which the users of numeracy can interpret and analyse the results that have been calculated by
using different tools in numeracy (Relander, 2021). The following report highlights how
numeracy and different measures in statistics are used to interpret the humidity data of Durham,
a city in the North East England.
TASK
I. Presentation of data in table format.
Days
Humidity
level
1 85
2 83
3 83
4 99
5 96
6 82
7 97
8 80
9 77
10 88
870
Table 1: Presentation of the humidity data of the last 10 days of Durham