Data Analysis and Findings for Desklib Literature Review

Literature review

TABLE OF CONTENTS
TABLE OF CONTENTS..............................................................................................................2
CHAPTER 4: DATA ANALYSIS AND FINDING.......................................................................3
Outline of the methodology........................................................................................................3
Hypothesis 1................................................................................................................................3
Hypothesis 2................................................................................................................................4
Hypothesis 3................................................................................................................................7
CONCLUSION..............................................................................................................................10
REFERENCES..............................................................................................................................12

CHAPTER 4: DATA ANALYSIS AND FINDING
Outline of the methodology
In the above investigation, the chosen research methodology is quantitative analysis. This
means that investigator has gathered and analysed numerical data for the study. Researcher has
collected data in number so that research aim and objectives can be attained in valid and reliable
manner. To gather the data investigator has chosen various method and tools so that right data
can be gathered for the investigator. To know the perception of the social world, investigator has
selected positivism philosophy. In this objective data will be gathered so that social world can be
recognised in effective manner. The phenomenon used by the investigator will develop the
nature, skill, in quantitative manner. To test the hypothesis investigator has selected deductive
approach. This is because with the help of this existing formulated hypothesis can be tested
easily. This help in evaluating the hypothesis and gather the accurate result for the investigation.
In the present investigation, researcher has selected primary data collection source. That means
that first-hand information so that real time data can be acquired. In this investigator directly
gathered the data from the participants so that accurate information can be gathered
appropriately. The source for gathering the primary data is questionnaire so that data can be
gathered from large pool of applicants.
To analyse and inspect the information investigator has chosen SPSS tool so that data can
be inspected easily. Using this software mathematical and statistical data can be calculated in
easy manner. with the help of SPSS researcher will test the formulated hypothesis so that they
can know the relationship between the variable in ease way. The test which is performed in the
current research is correlation and Annona so that data existing hypothesis can be tested in ease
manner. With the help of this software useful mathematical and statistical solution is acquired to
test the hypothesis.
Hypothesis 1
H0- There is not any association being present among board gender diversity and GHG
emissions that is scope 1 and 2 for FTSE 100 companies.
H1- There is an association being present among GHG emission and board gender diversity
relating to FTSE 100 companies.

Correlations
Board gender
diversity Mean GHG
Board gender diversity Pearson Correlation 1 .044
Sig. (2-tailed) .664
N 100 100
Mean GHG Pearson Correlation .044 1
Sig. (2-tailed) .664
N 100 100
Interpretation: Correlation means two identify the mutual relationship between two
variables. In the above case the two variable is Greenhouse emission and Board gender diversity.
From the above gathered data it is being interpreted that in the above case null hypothesis is
selected as the correlation value of the above two variables is. 044. The significant value is less
than .5. This means that there is not mutually association between GHG emission and board
gender diversity. Emission of greenhouse gas largely has not associated with the gender diversity
in FTSE 100 companies of United Kingdom. Apart from this the Pearson co relationship
between the two variable is positive as the relationship value is positive. Which means that they
are perfect positive weak correlations between the independent and dependent variable.
In the above table it is analysed that the person correlation value of the variable is 1 that indicate
positive relationship but the mean corelationship of the above two is variables is 0.44 which
indicate that there is weak positive correlation. It also means that the value of the variable can be
changed up to 0.044 percent. To associate with the greenhouse emission, need to change a lot.
The effect of greenhouse emission on the gender diversity is very small within the organisation.
Hypothesis 2
H0- There is not any significant relation being present NED that is women non- executive
director in particular and GHG emission that is scope 1 and 2 for FTSE 10 UK companies.
H1- There is a significant relation present among GHG (scope 1 and 2) and NED (women non-
executive director) that is percentage of women non- executive director.