Data Analysis

This document discusses the appropriate strategy for data analysis, including quantitative research approach and regression analysis. It also explores the limitations and advantages of this approach. The results are interpreted using regression statistics and graphs, and a summary of the findings is provided. The document focuses on the analysis of Ebola subtype and its relationship with reported deaths among cases. The countries affected by Ebola and the different subtypes of the virus are also discussed.

Data Analysis

Table of Contents
Appropriate strategy for analysis.................................................................................................2
Limitation and advantage of the approach...................................................................................2
Interpret the results......................................................................................................................2
Summary of the results................................................................................................................6
REFERENCES................................................................................................................................7

Appropriate strategy for analysis
In order to determine the result, researcher uses quantitative research approach which
refers to the statistical and numerical analysis in order to collect the data by manipulating the
pre-existing statistical data through effective computational techniques (Ghauri, Grønhaug and
Strange, 2020). The method is also use deductive logic in which the researcher start with a
hypothesis and then collect the information that may be used to examine the whether the
empirical evidence support hypothesis or not. Also, in order to determine number of deaths of
patients who are suffering from the Ebola, regression analysis is used that will help to examine
the relationship.
Limitation and advantage of the approach
Pros: This method helps to get accurate results and keep checked that the data is quite
reliable in order to collect the accurate results. Also, this method helps to get straight forward
analysis so that it will not cause any error. This method also help to get results quickly as
compared to qualitative research and as a result, it will leads to provide accurate results as well.
Cons: As this method helps to get the proper answer and that is why it creates unnatural
environment which means did not helps to take better decision (Baran and Jones, 2020). This
method also uses simple ransom sampling method and that is why, did not help to collect
accurate results. Therefore, the impact of randomization also adds the validity to the final results
when an information is not usable.
Interpret the results
In order to perform the results, Regression statistics under quantitative data analysis is used that
helps to determine the relationship between two variables. This, it is as mention below:
Regression Statistics
Multiple R 0.153414
R Square 0.023536
Adjusted R
Square
-0.00796
Standard
Error
80.13468
Observatio
ns
33

ANOVA
df SS MS F Significan
ce F
Regression 1 4798.15
5
4798.15
5
0.74719
4
0.394006
Residual 31 199068.
6
6421.56
7
Total 32 203866.
7
Coefficien
ts
Standar
d Error
t Stat P-value Lower
95%
Upper
95%
Lower
95.0%
Upper
95.0%
Intercept 75.87179 36.2938
6
2.09048
6
0.04486
7
1.849974 149.893
6
1.84997
4
149.893
6
Ebola
subtype
-10.6197 12.2855
3
-0.8644 0.39400
6
-35.6762 14.4368
5
-
35.6762
14.4368
5
Null hypothesis (H0): There is no statistical significant difference takes place between Ebola
subtype and reported number of deaths among cases.
Alternative hypothesis (H0): There is a statistical significant difference takes place between
Ebola subtype and reported number of deaths among cases.
Interpretation: From the above it has been interpreted that Ebola is not associated with
the sub type of virus because null hypothesis is accepted and therefore, all the deaths is a reason
of Ebola only.
Values
Row Labels Count of Reported
number of human cases
Count of Reported number of
deaths among cases
Uganda 5 5
Democratic Republic of the
Congo
3 3
Philippines 3 3
Russia 2 2
Gabon 4 4
USA 3 3

South Africa 1 1
Democratic Republic of the
Congo (formerly Zaire)
1 1
Côte d'Ivoire (Ivory Coast) 1 1
Italy 1 1
Sudan (South Sudan) 3 3
Zaire 1 1
England 1 1
Zaire (Democratic Republic of
the Congo - DRC)
1 1
Republic of the Congo 3 3
Grand Total 33 33
Uganda
Russia
South Africa
Italy
England
Grand Total
0
5
10
15
20
25
30
35
Count of Reported number
of human cases
Count of Reported number
of deaths among cases
Interpretation: As per the above graph and table, it has been interpreted that most of the
countries have reported the patients who are suffering from the Ebola and at the same time,
same number of people are also died. Therefore, graph shows that Uganda suffer a lot because
there were 5 report are registered and all of them were died. On the other side, Gabon is on
second position where 4 reports were registered to that person who suffer from Ebola. Further,
Democratic Republic of Congo, Philippines, USA, Sudan and Republic of Congo where 3 case
registered and all 3 people were died. Then, South Africa, Democratic Republic of Congo, Cote
d’Ivoire, Italy, Zaire, England where only 1 case is registered and person is died as well.

Values
Row Labels Count of Reported number of
human cases
Count of Reported number of deaths
among cases
Sudan virus 8 8
Bundibugyo
virus
2 2
12 virus 15 15
Reston virus 7 7
Taï Forest virus 1 1
Grand Total 33 33
Sudan virus
Bundibugyo virus
12 virus
Reston virus
Taï Forest virus
Grand Total
0
5
10
15
20
25
30
35
Count of Reported number
of human cases
Count of Reported number
of deaths among cases
Interpretation: as per the above graph and table, it has been interpreted that around 12 virus as a
subtype of Ebola affected the most in all selected countries and also consider a lead cause of
death as well. Further, Sudan virus is another subtype which is responsible for the death, also,
reston virus is consider another cause of death for the people because in all countries, 7 cases are
registered and cause a death as well. While there were 2 cause registered where people are
suffered from Bundibugyo virus and only 1 cause is registered from Tai Forest virus that cause a

death of people. Thus, all the virus are cause death to people and they are consider as a subtype
of Ebola.
Summary of the results
From the above picture and graph, it has been analyzed that there is no relation of
Subtype virus and Ebola because null hypothesis is accepted and that is why, people who died in
different countries due to virus. Also, it is analyzed that people who suffer from the Ebola
subtype are also died because graphs clearly reflected that the number of case registered are
equal to the count of death (Levack and et.al., 2020). Therefore, it is clearly stated that Uganda
is one of the top country that suffer from Ebola subtype because it has high number of death and
case registered.
Further, statistics also reflected that 12 virus is consider one of the most affected virus
and top causing virus that leads to death. Therefore, it is analyzed that most of the countries are
suffered from the Ebola and that is why, it creates negative impact upon public health because it
is a communicable disease and most of the people are also infected the same and this further
leads to death as well.

REFERENCES
Books and Journals
Baran, M. L. and Jones, J. E., 2020. Developing the Research Study: A Step-by-Step Approach.
In Applied Social Science Approaches to Mixed Methods Research (pp. 262-274). IGI
Global.
Ghauri, P., Grønhaug, K. and Strange, R., 2020. Research methods in business studies.
Cambridge University Press.
Levack, M. M. and et.al., 2020. Quantitative three‐dimensional echocardiographic analysis of the
bicuspid aortic valve and aortic root: A single modality approach. Journal of Cardiac
Surgery. 35(2). pp.375-382.