How can an experiment that disproves a hypothesis be useful?
OK. Let's say you had a hypothesis: "If the clouds are grey, the bunnies will come out to play," but no bunnies came out :(. Of course this isn't a good hypothesis, but let's say in some magic world bunnies only came out when it was sunny, and you had numerous amounts of evidence showing this ;). This would show you that that hypothesis is false, because bunnies only like the sun :)P.S. I like bunnies<3
Well, i guess she answered it pretty darn well, but I will still give it a shot (mostly so you can vote hers as brainiest answer) Alright, here's my go at it:
So lets say you have an experiment that you decide to conduct and your hypothesis is that cows will turn purple after they eat grass. Well say after you conduct said experiment several times and you gain a lot if data you find that they do not in fact change color. You will learn that they do not turn any odd color. So i guess the answer is that you learn something new and you learn that your hypothesis is wrong