Numeracy and Data Analysis: Calculating Mean, Mode, Median, Range and Standard Deviation

Data Analysis and
Forecasting

Contents
Contents...........................................................................................................................................2
INTRODUCTION...........................................................................................................................1
1. Collect the data of humidity levels for ten consecutive days..................................................1
2. Presenting data in charts..........................................................................................................2
3. Calculating mean, mode, median, range and standard deviation:...........................................3
4. Calculating the value of 'm' and 'c' for using linear equation model.......................................6
CONCLUSION................................................................................................................................7
REFERENCES................................................................................................................................8

INTRODUCTION
Data analysis is a process of applying logical techniques and statistical tools to illustrate,
evaluate and present the given information. Data analytics is very important for problem solving
and decision making. In this report, statistical tools such as mean, mode, median, range and
standard deviation need to be calculated to perform analysis. Data is related to humidity levels of
a city in UK. Visual representation of the data will be done through charts.
MAIN BODY
1. Collect the data of humidity levels for ten consecutive days.
The data presented in the table shows the wind speed in Bristol for 10 consecutive days.
This data was collected from the actual weather reports published on the internet.
Days Humidity (%)
1st 78
2nd 84
3rd 69
4th 81
5th 87
6th 73
7th 78
8th 82
9th 89
10th 63
Total Gross 784