Numeracy and Data Analysis for Wind Speed Data | Desklib

This report analyses the wind speed data of a country using numeracy and data analysis. Mean, median, mode, range, and standard deviation are calculated. Linear forecasting model is used to predict future wind speed. The report provides insights for future decisions.

Data Analysis and
Forecasting

Contents
Contents...........................................................................................................................................2
INTRODUCTION...........................................................................................................................3
TASK...............................................................................................................................................3
1. Arrangement of wind speed data:............................................................................................3
2. Data presentation with the help of Charts:..............................................................................3
3. Various types of data analysis are as follows:.........................................................................4
4. Calculation of m, c by the use of linear forecasting model which is Y= MX + c...................6
CONCLUSION................................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
Data Analysis and Forecasting is the process of analysing past data and forecasting future
data. In this below report country's wind speed is analysing with the help of numeracy and data
analysis to find out important information regarding future decisions. To analyse the data
numeracy method is opted in which mean, median, mode, standard deviation and range are
calculated. In this report linear model of forecasting is used for the future forecast with the past
values. Data analysis factors are the tools which help in calculating the value of numbers from
the given data.
MAIN BODY
1. Arrangement of wind speed data:
Day Wind
Speed
1 15
2 21
3 26
4 13
5 21
6 12
7 25
8 38
9 41
10 27
Total 239

2. Data presentation with the help of Charts:
1 2 3 4 5 6 7 8 9 10
0
5
10
15
20
25
30
35
40
45
Wind Speed
1 2 3 4 5 6 7 8 9 10
0
5
10
15
20
25
30
35
40
45
Wind Speed
3. Various types of data analysis are as follows:
A. Mean: Mean is a method of calculating an average of a given data set. To find out the
mean of any data set, the sum of the whole data set is decided by the total number of data. In
simple words mean is the usual number of any dataset (Dunn and Hazzard, 2019).
Some steps to calculating mean -
Step 1: Collection of data from the data sheet.
Step 2: Computation of sum of data.
Step 3: computation of the total number of data.
Step 4: Computation of mean with the help of formula.

Mean of Wind Speed - Sum of data set / Total number of data set
Mean = 239 / 10
Mean = 23.9
B. Median: Median is the method of representing the middle number of a shorted data
set. Before calculating the median, the dataset should be rearranged in ascending and descending
order. If the dataset is even then the sum of the middle two values is decided by two to get the
median (Brossard et.al., 2020).
Some Steps to calculate the value of the median:
1. Rearrange data in ascending or descending form.
2. Count the total number of data from the data set.
3. Find out the dataset whether is even or odd.
4. If the number of observations is odd. The formula is:
Median = N+1/2
5. If the number of observations is even. Then, the formula is:
Median = N/2
Final step to calculate Median of wind speed is as follows:
15, 21, 26, 13, 21, 12, 25, 38, 41, 27
12 ,13 ,15 ,21 ,21 ,25 ,26 ,27 ,38 ,41
Median = 11 /2
Median = 5.5th position
Median = 21+25
Median = 23
C. Mode: Mode refers to the value which is most preparative in the whole series. Mode is
one of the parts of central tendency. The use of mode in general life is very important (Christl
and Köppl–Turyna, 2020).
Some Steps to calculate the value of mode:
Steps for calculating mode are as following;
Step1: rearrange numbers in ascending or descending order.
Step2: evaluate the given data.
Step3: Figure out the most repetitive number of data.
15,21,26,13,21, 12,25,38,41,27

12,13,15,21,21,25,26,27,38,41
most repetitive number (mean) is 21.
D. Range: The term range refers to the difference between the maximum and minimum
of a dataset. A range can be a sequence, series etc.
The steps for calculating the range are as follows;
Step1: Properly rearrange the data.
Step2: find the highest and the lowest value.
Step3: Compute the variation between maximum and minimum.
Step4: Final step to calculate range.
Range = Highest value -Lowest value
Range = 41-12
Range = 29
E. Standard Deviation: Standard deviation refers to the spread of roots of its variance.
Steps to compute the standard deviation (Hovick et.al., 2019).
Step1: Find out the mean value.
Step2: Computation of value of deviation from the mean.
Step3: After that Compute the sum of squares.
Step4: then the sum is divided by the number of data.
Step5: Finally, take the square of the above-computed value.
Standard Deviation= √∑ (xi – μ) 2 / N
=√862.9/10
=9.29
4. Calculation of m, c by the use of linear forecasting model which is Y= MX + c
Linear Forecasting model: Linear regression is a tool which helps in predicting the future
with the help of past values. It helps in determining the trend when prices are overvalued (Leste
and Davidson, 2020).
Steps to follow Linear forecasting theory;
Step1: Analyse the problem.
Step2: Collecting necessary information.
Step3: Now Observe data from the beginning.

Step4: Apply the model for future practices.
y = MX + C
here, 'y' belongs to Dependent Factor,
'MX' belongs to the Independent factor and
'c' belongs to the constant Factor
Steps to follow for calculation of the value of 'm'
Step1: Now, multiply both the expression.
Step2: Calculate the sum of the number.
Step3: Add each expression separately.
Step4: Multiply both the terms.
Step5: At last, Calculate the value
m = (10*1482) – (55*239) / (10*385 – 55*55)
m =14820-13145 / 3850- 3025
m =1675/825
m =2.03
Steps to follow for calculation of worth of 'c'
Step1: To compute the sum of the 'y' variable
Step2: Opt-out value of 'm'
Step3: Computation of sum of 'x' variable and multiply with the ‘m'
Step4: Deduct sum of 'mx' from sum of 'y'
Step5: Then split the value of Step4 by 'n'
c = (239 – 2.03*55) / 10
c = (239 – 111.65) / 10
c = 127.35 / 10

c = 12.74
Wind speed on 11th day:
m = 2.03, c = 12.74, x = 11
y = mx + c
= 2.03*11 + 12.74
=22.33 + 12.74
=35.07
Wind speed on 13th day:
m = 2.03, c = 12.74, x = 11
y = mx + c
= 2.03*13 + 12.74
=26.39+ 12.74
=39.13
CONCLUSION
According to the above report, it is concluded that data analysis and forecasting is the
method of calculating and analysing data from epidemiologic studies. wind speed of a country is
analysed with the help of numeracy and data analysis. As above report calculation of mean,
median, mode, standard deviation, range and linear forecasting theory is take place. With the
help of all calculations and analysis, two days’ future wind speed is calculated.

REFERENCES
Books and Journals
Dunn, P. and Hazzard, E., 2019. Technology approaches to digital health literacy. International
journal of cardiology. 293. pp.294-296.
Brossard, M. and et.al., 2020. Parental engagement in children’s learning.
Christl, M. and Köppl–Turyna, M., 2020. Gender wage gap and the role of skills and tasks:
evidence from the Austrian PIAAC data set. Applied Economics. 52(2). pp.113-134.
Hovick, S.R. and et.al., 2019. Understanding BRCA mutation carriers’ preferences for
communication of genetic modifiers of breast cancer risk. Journal of Health
Communication. 24(4). pp.377-384.
Leste, A. and Davidson, P.W., 2020. Monitoring the educational achievement of primary school
children: an international collaboration. Neurotoxicology. 81. pp.339-346.