Question

What is the difference between a null and alternative hypothesis?

Answer 1

A hypothesis is described as a proposed explanation for an observable phenomenon. It is intended to explain facts and observations about the natural world, providing insight that has not been verified but can be proven true. It is a prediction of a possible outcome and describes what will happen. It involves research and may be part of a theory or may become a theory. There are several types of hypothesis:

* Inductive and Deductive Hypothesis. An inductive hypothesis is based on general observations while a deductive hypothesis is based on theory and either supports, expands, or contradicts the theory.
* Directional and Non-directional Hypothesis. A directional hypothesis states the expected direction of the relation or difference while a non-directional hypothesis states that a relation or difference exists between variables.
* Simple and Composite Hypothesis. A simple hypothesis concerns the population as a functional form and parameter. If it is not simple, then it is a composite hypothesis.
* Parametric and Non-Parametric Hypothesis. A parametric hypothesis specifies the parameters of the probability density function while a non-parametric hypothesis specifies only the form of the density function in the population.
* Null and Alternative Hypothesis. A null hypothesis is a statistical hypothesis and is the default or original hypothesis while an alternative hypothesis is any hypothesis other than the null. If the null hypothesis is not accepted, then the alternative hypothesis is used. H0 is a null hypothesis while H1 is an alternative hypothesis.

Answer 2

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Answer 3

That came from ask.com... What does it mean in simple terms?

Answer 4

If null isn't used then they use an alternative hypothesis