Boostrap sampling tutorial using MS Excel
What I learned by asking all these very smart people to explain p-values is that I was on a fool’s errand. Try to distill the p-value down to an intuitive concept and it loses all its nuances and complexity, said science journalist Regina Nuzzo, a statistics professor at Gallaudet University. “Then people get it wrong, and this is why statisticians are upset and scientists are confused.” You can get it right, or you can make it intuitive, but it’s all but impossible to do both.
I was assuming these two were the same. What is the difference between them? How does one relate to another? The context here is an MA (Master of Arts) level social science dissertation in UK education system. Should background talk about relevant research done? If so why does literature review exist? Or should the background chose only a few literature and discuss them throughly?
The empirical software engineering research community has two general aims: 1 To understand how software is actually developed and maintained; and 1 To understand what improvements should be made to software development and maintenance, and how those improvements should be implemented. Empirical software engineering research, therefore, is about both contemplation and action. It is a discipline which attempts to understand phenomena whilst at the same time trying to change those very phenomena (in order to improve them). And it is a discipline that, by definition, promotes empirical evidence as the primary source of reliable knowledge for achieving these two general aims.