An example of a null hypothesis would be 'There is no relation between voter preference and the sex of the mayoral candidate.' The alternative hypothesis would be, ' There is a relation between voter preference and the sex of the mayoral candidate.
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Be able to reject the null hypothesis and accept the research hypothesis
A null hypothesis is written in notation by using a a statement that is the opposite of what is intended to be found, for example the research will derive answers or needed statements that is different from what is intended.
In statistics, we have to test the hypothesis i.e., null hypothesis and alternative hypothesis. In testing, most of the time we reject the null hypothesis, then using this power function result, then tell what is the probability to reject null hypothesis...
Yes; the null hypothesis, H0, always includes an equality. The alternative hypothesis, H1, is >, <, or does not equal.
In research, a null hypothesis means that no results will be found. An alternative hypothesis means that results will be found.