Null hypothesis

In Statistics, the null hypothesis, represented by H_0, is a hypothesis that is presented on certain statistical facts and whose falsity is tried to be proved through an adequate test of hypotheses.

A null hypothesis generally states that there is no relationship between two measured phenomena. For example, in physics: "increasing the potential difference does not affect the current in a conductor". In pharmacological research: "a potential medical treatment has no effect". In market research: "a 5% increase in the price of a particular product will not adversely affect sales of that product".

It is a hypothesis that is intended to be confronted with the facts. It is often a statement about a parameter that is a statistical property of a population. When it is not possible or feasible to observe the entire population, the test is based on the observation of a random sample of the population. Such a parameter is often the mean or standard deviation.

It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English.

You must log in to access this content
Iniciar con Google
Iniciar con Facebook