The Null Hypothesis and Research ..

Quantitative research is statistical: it has numbers attached to it, like averages, percentages or quotas. Qualitative research uses non-statistical methods. For example, you might perform a study and find that 50% of a district’s students dislike their teachers. The quantity (50%) makes it quantitative research. A follow up qualitative study could interview a small percentage of those students to find out why. The answers are free-form and don’t have numbers associated with them, so that makes them qualitative.

In a research which one is the one being tested : the null hypothesis or the hypothesis?
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By tradition, we try to disprove (reject) the null hypothesis. We can never prove a null hypothesis, because it is impossible to prove something does not exist. We can disprove something does not exist by finding an example of it. Therefore, in research we try to disprove the null hypothesis. When we do find that a relationship (or difference) exists then we reject the null and accept the alternative. If we do not find that a relationship (or difference) exists, we fail to reject the null hypothesis (and go with it). We never say we accept the null hypothesis because it is never possible to prove something does not exist. That is why we say that we failed to reject the null hypothesis, rather than we accepted it.

Research Problem | Null Hypothesis | Hypothesis

The degree to which a researcher is certain he or she will accept a true null hypothesis.
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Quantitative research on the other hand is more of a systematic approach with measurable numerical quantities that go through analysis to prove a hypothesis....