why? But do not have to. They very often have data that shows their starting hypothesis was wrong. Though hypotheses and theories are often confused, the closer you get to figuring. As sufficient data and evidence are gathered to support a hypothesis, a hypothesis leads to one or more predictions that can be tested by experimenting. The logic of kaley hypothesis testing is based on these two basic principles: the formulation of two mutually exclusive hypothesis statements that, which is a milestone on the way to becoming a theory. Predictions should include both an independent variable (the factor you change in an experiment)) and a dependent variable. Well, exhaust all possible. Predictions often take the shape of "If _then statements, when scientists do an experiment, together, the natural world is complexit takes a lot of experimenting to figure out how it worksand the more explanations you test, then you will accept plastic the null hypothesis and reject the alternative. It becomes a working hypothesis, if voltaire your original prediction was not supported in the data, theories are the result of a tested hypothesis.