An Analysis of COVID-19's Impact on UK Higher Education: A Data Report

This report examines the impact of COVID-19 on higher education in the UK, utilizing data analysis techniques to assess the pandemic's effects on student numbers, postgraduate research, and the financial contributions of higher education. The research employs both quantitative and qualitative m...Read More

Data Analysis Tools and
Application

Contents
INTRODUCTION...........................................................................................................................................3
MAIN BODY.................................................................................................................................................3
Background..............................................................................................................................................3
Key objectives of project.........................................................................................................................3
Research methodology............................................................................................................................3
Sources of data........................................................................................................................................4
Appropriateness of data..........................................................................................................................5
Analysis of performed.............................................................................................................................5
Visualization of data................................................................................................................................7
Conclusion for the analysis......................................................................................................................8
Working of assemble and future changes that can be taken...................................................................8
Issues confronted and the future upgrades in counter...........................................................................9
CONCLUSION...............................................................................................................................................9
REFERENCES..............................................................................................................................................11

INTRODUCTION
Data analysis is defined as the examination of obtained information in order to establish a
judgment about a study topic. The utilization and evaluation of relevant data is critical in order to
evaluate the subject being studied (Chong and Xia, 2018). In the present context, the epidemic
has had a significant impact on the functioning of the entire region. This report based on the
COVID 19 impact on higher education in UK. In this report consist of forecasting analysis on the
basis of data set and define the findings with spastically function.
MAIN BODY
Background
Although most student population for the year already has actually occurred months even before
global epidemic finally started, the corona virus constraints in influence in the UK from March
2020 had a tremendous impact on the teaching, evaluation, and other such elements of the
students’ experiences even during final segment of the 2019/20 educational year. The
consequences of the disease outbreak were visible in the 2019/20 Student data are available of
academic credentials; there were organizational disruptions in disclosing some qualifying games,
as well as a rise in the number of first-class graduates, which was connected to prescribers' 'no
detriment' policy initiatives, which were set up to prevent educators' marks from being
negatively impacted by disease outbreak occurrences.
Key objectives of project
• To measure the effect of COVID 19 on higher education in the United Kingdom.
• To determine the statistical analysis of the gathered information.
• The significance of higher education in the UK's contribution to GDP.
Research methodology
Research type: There are two sorts of examinations that assist accomplish things, for instance,
subjective and quantitative examinations. Subjective inspection is associated with possessing
theoretical information, but quantitative inspection is associated with knowing mathematical
knowledge. The introduction of momentum-centric quantitative investigation types into
structural engineering procedures to collect mathematical knowledge allows for the management

capabilities of natural influences in favorable environments. This allows for systematic
investigation to be guided (Yousif and Saini, 2020).
Research approach and philosophy: The empirical technique and the reasonable technique are the
two methodologies. Because research findings have been chosen, a rational method is suited for
ongoing assessments. The objective in this scenario is to have hypothesis, subsequently concepts,
judgments, and confirmations, such that the collecting objective is attainable. Centers are offered
within positivism theory, which directs logical examination of speculations and tracking unified
evidentiary actuality, from the well patterns of thought, like interpretive paradigm and
positivism.
Data collection: To conduct the investigation in a consistent fashion, this entails having a
suitable categorization of the material. There are two types of methodologies: basic and
customizable. Authorities noted the use of individual data presently published on WebPages,
blogs, articles, and so on in the current study. This aids in determining the quality of fit of a
model and, as a result, having objectively adequate data to conduct an evaluation of
environmental elements on accommodation areas. Through detailed commentary presentation,
secondary information offers a critical option.
Data analysis: Thematic analysis approaches and Excel may be utilized to evaluate the entire
data acquired. The purpose of this report is on the usage of spreadsheet tools that assist in
gaining the right capacity to use correlation and regression to permit appropriate discoveries. The
primary reason for using the Excel tool even though it is a statistical kind of study that making it
feasible to employ correlation and multiple regression analysis in an effective and equitable
manner (Klupczynska and et.al, 2018).
In recent studies, I have emphasized analysis of the data, which incorporates the amount of
sensitivity of data in order to make right conclusions. This aids in obtaining rectified findings,
allowing for essential study.
Sources of data
The data comes from the Office of National Statistics' authoritative website (ONS). The data is
acquired from the National Statistics Office, which is the authoritative page of the National
Statistics Office's Executive Office. This is a non-ministerial office making a direct

announcement to the nation's parliament. It is a supplementary resource of information data for
quantifiable purposes.
Appropriateness of data
In the current study, the goal of the review centre has been centered on complying to moral
requirements. Citations after 2016 have been included in the process for a thorough and reliable
review. The relevant data on copyrighted resources has been used to ensure that ethical and
reasonable knowledge that can adjust up to introduction functioning has been used. References
have been used legitimately to offer credit. There have been no advancements in data for creating
a rehabilitative report in order to maintain the trustworthiness of the investigation. It has not
replicated whatever information and has concentrated on conducting an accurate and unbiased
examination (Zhang and et.al, 2019).
Analysis of performed
Doctorate
research
Other
postgraduate
research
2017 9775 2305
2018 10110 2460
2019 10350 2415
2020 10000 2305
2021 8860 2190

2017 2018 2019 2020 2021
0
2000
4000
6000
8000
10000
12000
Doctorate research Other postgraduate research
The information shown in the preceding table was used in the mission to investigate the impact
of the COVID 19 on the UK student education. The major part discusses the number of years for
which data was picked. The following section discusses the number of non-UK citizens who
have attended the UK overseas in the previous five years. The final part discusses the level of
money generated by the travel business in the United Kingdom.
SUMMARY OUTPUT
Doctorate Research Other Post graduation research
Mean 9819 Mean 2335
Standard Error 257.003891 Standard Error 47.35504197
Median 10000 Median 2305
Mode #N/A Mode 2305
Standard
Deviation 574.6781708
Standard
Deviation 105.8890929
Sample Variance 330255 Sample Variance 11212.5
Kurtosis 2.699287667 Kurtosis
-
0.754033326
Skewness
-
1.540660742 Skewness
-
0.223725385
Range 1490 Range 270
Minimum 8860 Minimum 2190
Maximum 10350 Maximum 2460
Sum 49095 Sum 11675
Count 5 Count 5

The descriptive statistics are used to do the assessment, which itself is part of the central
propensity. The mean, median, and mode are components of the central tendency process. The
average number of student for higher education in United Kingdom from 2017 to 2020 was
9819. The average doctorate research is 2335. The median value divides the data in half. The
knowledge index's median quality is 25692 and 16359. The fraction of dispersion is represented
by the standard deviation. The amount of standard deviation calculated from the mean number of
students is 20070.11.
Regression Statistics
Multiple R
0.87835
8
R Square
0.77151
4
Adjusted R
Square
0.69535
1
Standard Error
317.193
5
Observations 5
ANOVA
df SS MS F
Significan
ce F
Regressio
n 1 1019185
101918
5
10.1298
8 0.049988
Residual 3 301835.2
100611.
7
Total 4 1321020
Coefficien
ts
Standard
Error t Stat P-value
Lower
95%
Upper
95%
Lower
95.0%
Upper
95.0%
Intercept -1311.95 3500.152
-
0.37483
0.73271
9 -12451
9827.09
8 -12451
9827.09
8
X
Variable
1 4.767001 1.497763
3.18274
8
0.04998
8 0.000451
9.53355
1
0.00045
1
9.53355
1

Visualization of data
Conclusion for the analysis
Based on the aforementioned numbers and analysis, it is possible to assume that travel will
decline significantly in the years 2020 and 2021, having a significant influence on the income
received by the tourist sector in the United Kingdom. Because the COVID – 19 limitation had a
significant impact on the global economy, the percentage of students fell as everything was
entirely closed by the administration, particularly abroad admission. However, it can be
determined that there is a strong link between the two factors, and the revenue is heavily reliant
on the learner.
Working of assemble and future changes that can be taken
To keeping adequate records, the full work is first segregated in the collection. For
knowledge, other different methods are investigated. We selected to look solely at data from
2016 to the present in order to locate the most significant information. The discussion regarding
messaging choosing concluded with thoughts on how each component of the group was
evaluated. Every section's cross thinking provides a significant input from every part. Some
incorrect decisions were made when preparing to complete the mission.
Greater performance at meetings is ensured by developing mentorship connections among
coworkers with greater knowledge and seeking possibilities to grasp elements of a solitary
profession. Auditing meetings monitor talk conversations to ensure that no mistakes are made in
the obligations of every portion of the project. These sessions also assist to bring awareness to
the strengths and weaknesses of specific people and provide them with a potential to explain
them. Other benefit of collaborating is the ability to learn from other teammates.

Through this, I learned that building a team with the aid of the Tuckman team approach to
development is quite beneficial. This is attributed to the reason that this model provides different
phases for team formation. As a consequence, if these actions were taken, the team should
develop more effectively and efficiently. Furthermore, this led to improvements collaboration
and communication within the organization. As a result, this gives a solid foundation for working
more efficiently and effectively.
Issues confronted and the future upgrades in counter.
There are several drawbacks to group work. Particular aggregating people' dominant
inclinations result in their command over complex relations. While particular precautions were
made to ensure the feasibility of each component's collaboration, several critical decisions were
heavily impacted by a number of persons. Because there are so few comprehend, other
employees believe that their opinions are hardly appreciated during meetings. Party interactions
that turned out to be exceedingly tiresome are an essential issue observed throughout risk
preparedness. The use of time throughout the actual statement reduces the number of chances for
distinct segments. People are sluggish and attempt to concentrate their attention to different
members of the team. Only can cooperation bring various advantages, and that also presents
particular and serious issues that impair the sufficiency of labor. For this at all, the job may be
terminated.
Additional steps will be taken subsequently to guarantee that the decision is unaffected
by practically everything. Functions as a team, in speaking, will strengthen ties between persons
with universal benefits from each section. In this regard, the most important fact to notice in the
approach is to build connections between all coworkers. Favorite subjects are insufficient, but
collaboration should be conceivable. More effective assistance is determined by the type of the
findings acquired. Furthermore, the research advice was to concentrate on effective result
analysis. This was mostly due to the fact that there have been some challenges with teamwork,
which hampered the study's progress. As a response, as a consequence of this, operating
productivity must be enhanced. As a result, excellent communication and collaboration are
required for researchers. This is critical because good and synchronized collaboration results in
the successful achievement of corporate goals.

CONCLUSION
As a result of this project, the importance of COVID 19's impact on education has been
recognized. Students make significant contributions to the nation's gross Domestic product. The
project's aim was successfully achieved. The research approach utilized was quantitative
research. The research gathered and analyzed the link here between number of people who travel
and the money made by the tourist business in the United Kingdom. The research establishes the
importance of regression analysis and descriptive statistical in evaluating the connection between
two factors.

REFERENCES
Books and Journal
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Yousif, J. H. and Saini, D. K., 2020. Big Data Analysis on Smart Tools and Techniques. Cyber
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Klupczynska, A. and et.al, 2018. Application of metabolomic tools for studying low molecular-
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Zhang, Z. and et.al, 2019. A survey and evaluation of Web-based tools/databases for variant
analysis of TCGA data. Briefings in bioinformatics, 20(4), pp.1524-1541.
Guest, D., Cranmer, K. and Whiteson, D., 2018. Deep learning and its application to LHC
physics. Annual Review of Nuclear and Particle Science, 68, pp.161-181.
Wilkinson, J. and et.al, 2018. The application of systems thinking concepts, methods, and tools
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Antczak, E., 2018. Building W matrices using selected geostatistical tools: Empirical
examination and application. Stats, 1(1), pp.112-133.