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

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." !

A5 miles because when you look at the chart count how many times it goes into it i don’t even know wha,t i’m saying anymore mpbut long stor6 short it’s 5 miles

)because it's going in order of the math sign