Introduction
This research mainly focuses on the statistical analysis of the world happiness report, providing some insights towards the distribution of the countries based on the happiness of the people, and towards the impact of multiple social and material factors on the happiness of distinct nations in different parts of the world.
Numerous statistical methods are used to assure that the conclusion are as accurate as possible.
The data used in this case study was released by the UN in 2015. Lately, it has gained recognition from the vast majority of governments and organizations around the world, as it helped them to make some critical decisions and gave them a wide perspective through which they can have a clear understanding of the key factors that affect the prosperity and well-being of their people.
Several tests were used in this case study to find out whether the happiness score varies from region to region or not, and also to determine whether there is a relationship between different factors, in terms of their impact on the calculation of the happiness score. The software tool used in the study is the R programming language, with RStudio as an IDE.
Reflection
I have to say that this project is by far the most beneficial project since day 1 in UTM. I’ve got the chance to apply the knowledge learnt in the university in a real life situation. Actually, since I was young I was bored by all theoretical information that one learn at school without even knowing what is it used for. However, in this project it was completely different. I applied almost everything I came across during the lectures in a real research.
One of the things that also benefited me a lot, and I reckon that it will help me in the future, is learning the R language. In fact, nowadays the R programming language is ranked first, among the languages used in data science. Indeed, this language is very powerful. If one get to master it, manipulating data and analyzing it, will be a piece of cake, because with all the tools and methods that it provides, the process of interpreting large amounts of data, becomes very easy.
Last but not least, I would like to say that every student should take this course as soon as he gets to the university; because as we all know, making researches constitutes a large portion of the daily life of a university student, so it’s vital for one to be able to work with data and to get inferences from it.
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Conclusion
The results of the four conducted tests, may seem at first glance unrelated to each other, however if we deeply examine them, we can clearly see a strong relationship, because they all give us some very important criteria for every nation to be happy and prosperous :
- The first one is that solidarity and unity between neighbor countries and the countries that have roughly the same cultures or religion is vital to achieve happiness. This conclusion is drawn from the first test which showed us how the western countries have nearly the same level of happiness because they are helping each other and supporting each other. On the other hand the Arab world is completely disunited, and there you can find some neighbor countries with a huge economic gap ; I think this can present a big controversy, because the Arab world is Muslim, and as we all know our religion strongly emphasizes the importance of solidarity and unanimity, so the only explanation of that, is that we are deviating away from our religion unfortunately.
- The second criterion can be drawn from the second, third and fourth tests, and it’s that happy people are often those who fight for their rights, and those who very much care about their government to be uncorrupted and trustworthy.