hypothesis

In science, the hypothesis is an idea or explanation, which is then verified through research and experimentation. Beyond science, theory and guesses can also be called hypotheses

The hypothesis is not mere crazy speculation but a complete theory. In science, it is assumed that a large amount of testing is required before being marked as a theory. In a non scientific world, the use of this word is loose. A criminal may have an assumption about crime, and a mother may assume who is spilling juice on the carpet. Anyone who uses the word "hypothesis" guesses

Preliminary insight into nature, concept of unconfirmed, but if it can actually explain certain facts and phenomena

In the statistical hypothesis test, the two hypotheses were compared. These are called null hypotheses and alternative hypotheses. The null hypothesis is a hypothesis that the relationship between phenomena under study is irrelevant, or at least the relationship between the formats given by the alternative hypothesis is assumed to be irrelevant. As its name suggests, another hypothesis replaces the null hypothesis. It indicates that there is a relationship. Alternative hypotheses can take several forms, depending on the nature of the hypothetical relationship; in particular, it has two sides (eg, has some influence on unknown direction) or one way (direction of relation is positive or negative It is supposed to be). plans)

The null hypothesis is a practical hypothesis that can be refuted by a statistical test supporting the alternative hypothesis. Instead of trying to "prove" your thought (alternative hypothesis) you have to prove that the null hypothesis may be wrong. You must "refute" or "withdraw" the null hypothesis. Before you find the opposite evidence, you must assume that your alternative hypothesis is wrong. Carl Popper said, "All swans are white and can not be seen through some observations of white swans - we may not be able to see a black swan somewhere - but it is true You can pass black swans therefore it may be counterfeited, but this universal form of scientific theory can not be verified in the end.

Two statistical assumptions are included in the hypothesis test. These should be explained a priori and clearly. The null hypothesis is a precondition for the test. This is represented by symbol H0. It is also known as the premise that there is no difference. The only purpose of establishing the null hypothesis is to defeat it. In the hypothesis test, the null hypothesis is rejected (rejected) or rejected (supported). If the null hypothesis is not rejected, the explanation is that the data is not enough to cause rejection. When the test rejects the null hypothesis, it is inferred that the data obtained is incompatible with the null hypothesis. By default we accept alternative hypotheses. In most cases, this is a research hypothesis. The alternative hypothesis is represented by the symbol HA.