Numeracy and Data Analysis: Arrangement, Presentation, and Assessment

This paper discusses the importance of data analysis in assessing business accomplishment and provides predictions for the 11th and 13th day's mean, standard, optimum, variation, restriction, nonlinear return projection, and total expenditures. It also covers the arrangement of data in a table format, presentation with the help of two different charts, and assessment of various elements based on the above information.

Numeracy and data
analysis

Contents
Contents...........................................................................................................................................2
INTRODUCTION...........................................................................................................................1
MAIN BODY..................................................................................................................................1
1. Arrangement of the data in a table format...............................................................................1
2. Presentation of the above arranged data with the help of two different charts........................1
3. Assessing the various elements based on the above information............................................2
4. Linear forecasting model that is y = mx + c in order to do below mentioned calculations:....5
CONCLUSION................................................................................................................................7
REFERENCES................................................................................................................................8

INTRODUCTION
Data analysis is amongst the most significant and critical components because it aids in
assessing business accomplishment so that necessary and proper steps can be taken to help the
firm thrive and develop in the industry (Boyd and Ash, 2018). This paper contains data that has
been logically organised and illustrated using multiple charts. Besides that, the paper provides
predictions for the 11th and 13th day's mean, standard, optimum, variation, restriction, nonlinear
return projection, and total expenditures.
MAIN BODY
1. Arrangement of the data in a table format
Day Wind speed
1 30
2 32
3 28
4 35
5 25
6 29
7 33
8 31
9 34
10 32
2. Presentation of the above arranged data with the help of two different charts
Column chart- It is a type of graphic that is a graphical representation of data that was
entered into it and then demonstrates its relevance in vertically columns style, allowing the data
to appear far more evident and so lowering expenses and effort.

Line chart- It is a type of framework that shows a visual representation of the
information that was entered into it before providing the facts in a line arrangement that makes it
lot easier to understand.
3. Assessing the various elements based on the above information
Mean- It is the average of a large number of variables in a structure or result, and because
the components in the preceding are of exact wind speed for ten days, it is usually calculated as
follows:
Mean= Sum of total variables/number of variables
Day Wind speed

1 30
2 32
3 28
4 35
5 25
6 29
7 33
8 31
9 34
10 32
Total of variables 309
Mean= 309/10
= 30.9
Mode- The value that appears to be the largest or occurs the most frequently in a
database, or the value with one of the most notable repetition in an input chart, is referred to as
mode (Vargas-Solar, Zechinelli-Martini and Espinosa-Oviedo, 2020). And its assessment is as
follows:
Day Wind speed
1 30
2 32
3 28
4 35
5 25
6 29
7 33
8 31
9 34
10 32

According to the prior statistics, there will be no mode for the material because no
material occurs during 9 days, but the final day was the equivalent as the second day, so
the mode will be 2.
Median- It is the midpoint of the information collection (Chinn, 2020). It is defined as
the sum of the top and bottom parts, with the median obtained using the above formula:
When data set is odd= (N+1)/2th item.
When data set is even= {N/2th item+ N/2th item + 1}2
The data gathering mentioned above is regarded as even material accumulation, therefore
formula will be the same.
The first stage is to sort the information in increasing sequence.
Day Wind speed
1 25
2 28
3 29
4 30
5 31
6 32
7 32
8 33
9 34
10 35
N= 10
M= (10/2th item + 10/2th item + 1)/2
= (5th item+ 6th item)/2
= (31+32)/2
= 31.5
Range- The ranging value is the difference between the document's highest and smallest
values, and it may be determined using the given formula:
Higher value= 35
Lower value= 28
Range= (35-28)

= 7
Standard deviation- It is among the most effective tool because it makes it easier to
allocate a set of data sources to a predicted value (Ghose, 2021). The following formula might be
used to calculate all of the relevant data:
Day Wind speed x-m
m= 27
(x-m) 2
1 30 3 9
2 32 5 25
3 28 1 1
4 35 8 64
5 25 -2 4
6 29 2 4
7 33 5 25
8 31 4 16
9 34 7 49
10 32 5 25
Total 309 38 222
Variance = [∑(x – m) 2 / N]
= (222/10)
= 22.2
Standard deviation= √ (variance)
= √222
= 14.89966442575134
4. Linear forecasting model that is y = mx + c in order to do below mentioned calculations:
Calculation of value m:
Y= mx+c
m= n (∑xy) - (∑x) (∑y)/ n(∑x2)-( ∑x)2
Day
(x)
Wind speed(y) x2 xy

1 30 1 30
2 32 4 64
3 28 9 261
4 35 16 560
5 25 25 625
6 29 36 1044
7 33 49 1617
8 31 64 1984
9 34 81 2754
10 32 100 3200
55 309 385 12139
10*(12139)-(55)*(309)/10 (385)-(55)2
= 121390-1699.5/3850-3025
= 119690.5/825
= 145.0793939393939
Calculation of c:
c= [(∑y) / n]-m (∑x/n)
= [309/10] – 5(55/10)
= 30.9-27.5
= 3.4
Forecasting for 11th month and 13th month-
Forecasting for 11th month-
y= mx+c
= 5*11+3.4
= 58.4

Forecasting for 13th month-
= 5*13+3.4
= 68.4
CONCLUSION
It can be concluded from the above that the aspect of data analysis is important for any
business which operates in the economy, regardless of the sector in which it operates, since it
aids in carefully analyzing all of the aspects which influence everyday expenditures such that
required adjustments can be implemented quickly. Aside from that, all of the prior calculations,
such as mean, mode, median, range, and standard deviation, might be extended as it is important
in determining the corporation's present true position so that the company can take and
implement decisions that are of utmost importance to the firm and can help it to sustain and
survive the dynamic environment of the market.

REFERENCES
Books and journals
Boyd, P. and Ash, A., 2018. Teachers framing exploratory learning within a text-book based
Singapore Maths mastery approach. Teacher Education Advancement Network Journal,
10(1), pp.62-73.
Chinn, S., 2020. The trouble with maths: A practical guide to helping learners with numeracy
difficulties. Routledge.
Ghose, A., 2021. Hands-on exploration of Tessellation and Fractal Mapping on a Tiling Wall to
enhance interest in doing Maths in non-formal settings.
Vargas-Solar, G., Zechinelli-Martini, J.L. and Espinosa-Oviedo, J.A., 2020, August. Enacting
data science pipelines for exploring graphs: from libraries to studios. In ADBIS, TPDL
and EDA 2020 Common Workshops and Doctoral Consortium (pp. 271-280). Springer,
Cham.