Explain the difference between the null hypothesis and the alternate hypothesis. How is the null hypothesis chosen (why is it null)? What is the importance of rejecting the null hypothesis in relation of the sample to the population? With a failure to reject the null hypothesis, can we make a general statement about the population based on the sample findings?
I will explain to you what you need to know.
The goal of statistical testing is to see if there exists a difference between two group. For example, let's say that a researcher wants to see if studying while playing music will result in higher grades. The researcher will take a class, and divide the class randomly in two. One group will be told to study with music on, the other was told to study in silence. Then, both groups will be given the same exam. The researcher will then look at the grades, and see if any difference exists between the two groups.
So essentially, we start stating stating a null hypothesis. In statistics, a null hypothesis (Ho) is a hypothesis (scenario) set up to be nullified, refuted, or rejected ('disproved' statistically) in order to support an alternative hypothesis. So null is the case where the results have no significant differences. In this case, our null ...
This posting explains the basic information needed to know when conducting statistical testing using hypothesis.