this hypothesis explicates that no relationship exists between the dependent and the independent variable
Answer (1)
ables is called a null hypothesis. It essentially states that any observed relationship is due to random chance, rather than a genuine connection between the variables. This is a fundamental concept in statistical hypothesis testing. Here's why this is important:Testing the null hypothesis:Researchers aim to gather evidence to either reject or fail to reject the null hypothesis. Rejecting the null:If the evidence strongly suggests that the null hypothesis is unlikely, it is rejected, and the alternative hypothesis (which posits a relationship) is considered more plausible. Failing to reject the null:If the evidence is not strong enough to reject the null hypothesis, it means there isn't enough evidence to support a relationship between the variables, and the null hypothesis is retained. Example:If a researcher is investigating whether a new drug affects blood pressure, the null hypothesis would state that the drug has no effect on blood pressure. The researcher would then collect data and see if the results provide enough evidence to reject this claim.
