What is a zero hypothesis?
In most scientific experiments, it is difficult or impossible to prove that something is true. Instead, many scientists have submitted hypotheses about what they think happens. Hypotheses can be two or more options that are contradictory, only one can be true and exhausting, covering all possible results. The hypothesis that is considered true is called null hypothesis and other hypotheses are called alternative hypotheses .
with a hypothesis, the scientist attempts to explain an event or observation based on current information. The hypothesis can be predicted and then tested. A good hypothesis is one that explains all aspects of observations, it is the simplest possible explanation, it can be expressed in such a way that it is possible to predicts, and is finally testable by experimenting. Often, it is reported that there will be no change or effect for scientific experimentation. During the experiment, the scientist seeks to refuse or refuse this hypothesis. By rejecting his rejection pAK shows that one of the alternative hypotheses is correct or more correct than a null hypothesis.
It is almost impossible to prove or accept something in science. Instead, hypotheses are rejected or failed to refuse. For example, a zero hypothesis may be that a particular medicine will not affect those people they are given. If the effect is observed in a dazed group, then the null hypothesis is rejected in favor of an alternative hypothesis. If it seems that in a group of dazed, then there will be no effect, then it was not possible to refuse and usually other tests are needed.
In statistics, zero hypothesis is considered to be a hypothesis that has no significantist difference. In other words, it is a statement of statistical equality. It does not have to accurately align the value, but the hypothesis and the observed sample must be similar, not different, sufficiently to refuse the hypothesis. If the zero hypothesis is rejectedIt means that it is significantly different statistically from the observed group and this difference is not caused by chance.
When the zero hypothesis is not rejected, it is considered statistically similar. This similarity is often attributed to the error of chance sampling, which means that the amount of difference is caused by accident. If it is rejected, it is not a failure on behalf of the experimenter. In fact, most scientists and scientists have little or no expectations that the zero hypothesis is true. The rejected zero hypothesis is an important result in scientific experiments.