Answer:
No change ; = ; research ; parameter
Explanation:
The Null hypothesis in a statistical test is always the initial truth which always means that a research scenario or statement is as it is or that there is no change whatsoever. The null hypothesis is usually denoted as H0 ; because it is always the initial truth or accepted claim, it usually takes a equal to sign, this denotes that, there is no change in parameter, either the population mean or any other statistical measure we wish to test. The alternative hypothesis on the other hand always negated the null hypothesis, because it brings up a claim which is to check or peruse the Null hypothesis, hence, it is a research hypothesis, denoted as Ha: ;
The alternative hypothesis contains the statement about the population parameter we wish to test( parameter is a measured value about the population).