Question

Why are hypothesis valuable even if it is not supported by data?

Answer 1

If the hypothesis has been proven wrong or falsifiable, it is important because if something is proven wrong, then the opposing hypothesis must be true. Therefore, it leads to determining the correct find. Null-hypothesis testing answers the question of "how well the findings fit the possibility that chance factors alone might be responsible." !

Answer 2

A false hypothesis helps to understand what factors are not related to a certain outcome. This helps center experiments around hypotheses that are more relevant.