It could point to that the hypothesis was wrong.
Recheck data and if still valid, scrap hypothosis
some information; the data still provide valuable information about the hypothesis
To make a hypothosis scientists need to know their facts and remember a hypothosis is just a guess, scientists can be wrong.
Do the experiment again and again to confirm the data is correct If the data is consistent then your hypothesis is wrong and you need to think of a new one that fits the data.
You need to rethink your hypothesis so it is supported by the data.
Recheck data and if still valid, scrap hypothosis
some information; the data still provide valuable information about the hypothesis
Recheck data and if still valid, scrap hypothosis
To make a hypothosis scientists need to know their facts and remember a hypothosis is just a guess, scientists can be wrong.
Science methods is part of the experiment. This is taught in science.
Do the experiment again and again to confirm the data is correct If the data is consistent then your hypothesis is wrong and you need to think of a new one that fits the data.
You need to rethink your hypothesis so it is supported by the data.
First you ask a question about what you want to learn, Then you do some research, Next you construct a hypothesis, Then you test the hypothesis by doing an experiment, Next you Analyze your data and draw a conclusion, Communicate your results. And that is the hypothesis.
Basically it's the collection of data to prove or disprove a hypothosis.
some information; the data still provide valuable information about the hypothesis
Discuss the results of your experiment. Explain about what you learned in the experiment. List any errors or problems that had occurred, and how to solve the problems. Explain what the data says about the experiment. List the ways of improving the experiment/method
Two reasons why data might not support a hypothesis are that the experiment had a flaw or was not repeated enough times. This happens a lot.