Statistical Data Collection And Interpretation | Report

Running head: STATISTICAL DATA COLLECTION AND INTERPRETATION
STATISTICAL DATA COLLECTION AND INTERPRETATION
Name of the student:
Name of the University:
Author note

1STATISTICAL DATA COLLECTION AND INTERPRETATION
Table of Contents
Introduction:....................................................................................................................................2
Parameters and the sample population:...........................................................................................2
Collected data:.................................................................................................................................2
Descriptive statistics........................................................................................................................3
Correlation.......................................................................................................................................7
Comparison of sustainability of renewable energy to environment changes by gender:..............10
Results discussion:.........................................................................................................................12
Conclusion:....................................................................................................................................14
References......................................................................................................................................16

2STATISTICAL DATA COLLECTION AND INTERPRETATION
Introduction:
With the development of the industry, the need and the consumption of the energy has
increased as well. This has led to the over usage of the natural resources. Thus the sustainable
engineering is the solution to this problem. With the development of the sustainable engineering
the problems related to the depletion of the natural resources is prevented. According to the
analysis, with the appropriate usage of the technology a huge amount of energy can be drawn
from the renewable sources of energy. In this part of the assignment, we will discuss about the
analysis of the data that has been gathered. Different methods have been undertaken for the
purpose of the data analysis and has been discussed in the sections below.
Parameters and the sample population:
For the purpose of the analysis of the data, the population was 200 participant for better
results in the analysis we have used simple,random, and non-probability techniques have been
applied. Therefore the sample size for the research has been taken to be fifty.
Collected data:
There are two ways in which the data can be collected, one is the primary way of
collecting data and the other is the secondary data collection method. For the collection of the
primary data, surveys are undertaken. The primary data are generally collected form the people
who have expertise in the same field and is accurate most of the time (George and Mallery
2016). The secondary data are however collected form the sources like books, articles and
internet whose validity cannot be ensured. For this research we have taken the primary data
under consideration. The primary data that has been gathered for the purpose of this researches
and is done with the help of survey. Google form has been used for the purpose of the survey.

3STATISTICAL DATA COLLECTION AND INTERPRETATION
After the data has been gathered has to be analysed in order to achieve the aim of the
research. There are two ways in which the data can be analysed and they are qualitative analysis
and qualitative analysis of the data. The quantitative analysis of the data consists of the
numerical representation of data. Whereas the qualitative analysis of the data consists of the data
that is gathered form the interviews. Qualitative methods are most important factor of five angles
analysis which is fostered by methodology of percolation of the data (Green and Salkind 2016).
These process might be put to use with quantitative methods, for conducting literature or
scholarly reviews and interviews of the field or domain experts. Forproviding assistance to
qualitative research’s approach towards the heterogeneous research, an individual could consider
the qualitative inquiry according to the means of orientation. Here, for the purpose of the
research we have used the quantitative analysis of data. For the completion of the analysis we
have used the descriptive statistics and correlation methods.
Descriptive statistics
The variables considered in the dataset are categorical and thus have no meaning of
central tendency or dispersion measures. The dataset has no missing values and hence all the
entries are used for analysis (Mood, Morrow and McQueen 2019). Hence, the frequency table of
the categorical variables are computed using SPSS as given below.
gender
Frequency Percent Valid Percent
Cumulative
Percent
Valid Female 22 44.0 44.0 44.0
Male 28 56.0 56.0 100.0
Total 50 100.0 100.0