Statistical Data Collection and Interpretation Assignment PDF

Statistical Data
Collection and
Interpretation

Table of Contents
Abstract................................................................................................................................3
Introduction..........................................................................................................................3
Research Questions..............................................................................................................4
Data Collection.....................................................................................................................5
Descriptive Statistics............................................................................................................4
Inferential Statistics..............................................................................................................5
Conclusions..........................................................................................................................5
References............................................................................................................................5
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Assessment
Statistical Data Collection and Interpretation
Abstract
Statistical data analysis tools and techniques were used for the analysis of sample survey data
regarding the climate change, different environmental factors, contribution of corporate and
organizations for solving environment issues. It was observed that Most of the distributions for
the different responses are not symmetrical or identical. No significant difference is observed in
the population proportion for the first response and second response regarding the use of an
internal price on carbon. Also, no any significant difference is observed in the population
proportion for the first response and third response regarding the use of an internal price on
carbon. We conclude that there is a very poor internal consistency exists in the data for different
variables.
Introduction
We know that the statistical data analysis and interpretation is very important after data
collection for making more efficient decisions. Here we want to use different tools and
techniques of statistical data analysis for analysis of the collected data. We have to use
descriptive statistics and inferential statistics for the analysis purpose. We want to check whether
the distributions for the responses are same or not. Also, we will check whether the proportions
for the different types of responses are same or not. For checking different types of claims, we
will use some random data. Here, we have to analyse the survey data collected for the large
sample survey regarding global issues of climate change, CO2 emissions, pollution, etc. Let us
see this statistical analysis of the collected data in detail.
Research Questions
It is important to establish the research questions for any type of research study. For this research
study, the research questions are summarised as below:
Whether the distribution for the responses regarding the climate change and different
environmental issues is same or not?
Whether the proportion for the first response and second response for use of an internal price on
carbon is same or not?
Whether the proportion for the first response and third response for use of an internal price on
carbon is same or not?
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Literature Review
Companies are facing a huge financial burden like costs of monitoring to meet the carbon
emission target which also affects decreased profit. Agency theory clearly implies that the slack
in the targets of agents is created by the asymmetry in their incentives (Timo &Volker, 2011). As
per the agency theory, the expenses on environmental responsibilities increase the profit of the
business and this environmental activity has the negative impact on a company’s profitability.
They also indicated that there exists a good relationship between environmental and company
performances because carbon emission disclosure results in building a good reputation of the
company in the market which attracts shareholders to invest in the company deriving financial
benefits as well as non-financial benefits (Freeman, 2010).
Moreover, companies may imply CSR policy for the positive relations with the legal bodies and
increase their reputation and goodwill. Companies which are involved with CSR activities may
charge higher cost on their products but on the other hand the relationship between supplier and
customers being stronger as customers who are environmental friendly always contribute to the
efforts which are more towards the pollution free environment (Saleh, Zulkifli and Muhamad,
2010).
Conceptual Model
For this research study, the concept of statistical analysis by using testing hypothesis is used.
Data for the collected responses would be analyzed by using descriptive analysis and hypothesis
testing or inferential statistics. In descriptive statistics, we will see the descriptive summaries and
frequency distributions for the different responses. While in the testing of hypothesis, we will
test different claims or hypotheses established for this research study.
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