01
Jun
Stating The Null Hypothesis. The hypothesis that an apparent effect is due to chance is called the null hypothesis written H_0 H-naught. This involves identifying the null and alternative hypotheses and deciding on an appropriate significance level. It is denoted by H 0. It states the exact opposite of what an investigator or an experimenter predicts or expects.
Associated with these decisions are issues to do with Type I and. BarX mu nonumber. It basically defines the statement which states that there is no exact or actual relationship between the variables. This is the reason H_0 and H_1 will always be written in terms of the population and not in terms of the sample in this case mu and not barx. A low p-value indicates a low probability that the null hypothesis is correct thus providing evidence for the alternative hypothesis. This statement is called the null hypothesis in notation.
We are always interested in the population and not in the sample.
It basically defines the statement which states that there is no exact or actual relationship between the variables. In other words the null hypothesis is a hypothesis in which the sample observations results from the chance. It is denoted by H 0. In a scientific experiment the null hypothesis is the proposition that there is no effect or no relationship between phenomena or populations. Because individual tests are rarely conclusive it is usually not said that the research hypothesis has been proved only that it has been. It is the null hypothesis that is actually tested not the research hypothesis.