Then explain why it was wrong
The third step in testing a hypothesis is to analyze the data collected from the experiment or observation. This involves using statistical methods to determine whether the results support or refute the hypothesis. Based on this analysis, researchers can draw conclusions about the validity of the hypothesis and assess any implications of the findings.
The purposes of testing a hypothesis is to test it. Pass or fail, the experiment is a "success" if it does that - tests the hyposthesis. If the results don't support the hypothesis, then that is valuable data that helps you either abandon or refine the hypothesis.
when results from the experiments repeatedly fail to support the hypothesis.
The results can support their hypothesis by comparing the results, or setting them out in a table or graph. Conclusions can also be written to simplify the process.
It means that the results are in line with what you thought would happen, They do not prove your idea was wrong. (It doesn't mean the idea was definitely right, but it's the basis for more testing.)
asterisks
The third step in testing a hypothesis is to analyze the data collected from the experiment or observation. This involves using statistical methods to determine whether the results support or refute the hypothesis. Based on this analysis, researchers can draw conclusions about the validity of the hypothesis and assess any implications of the findings.
Concluding that the hypothesis is correct based on personal beliefs or opinions is not part of testing a hypothesis. Testing a hypothesis involves designing experiments, collecting data, and analyzing results to determine if the hypothesis is supported or not.
The purposes of testing a hypothesis is to test it. Pass or fail, the experiment is a "success" if it does that - tests the hyposthesis. If the results don't support the hypothesis, then that is valuable data that helps you either abandon or refine the hypothesis.
when results from the experiments repeatedly fail to support the hypothesis.
You are supposed to assume/expect that nothing happens, or the norm happens. E.g. if you are testing if plants grow more in light, you assume they dont, then see if that expectation is consistent with the result.
A hypothesis is a proposed explanation which scientists test with the available scientific theories. There are four steps to testing a hypothesis; state the hypothesis, formulate an analysis plan, analyze sample data and interpret the results.
The results can support their hypothesis by comparing the results, or setting them out in a table or graph. Conclusions can also be written to simplify the process.
It means that the results are in line with what you thought would happen, They do not prove your idea was wrong. (It doesn't mean the idea was definitely right, but it's the basis for more testing.)
The results of his experiments did not support his hypothesis.
A statement made in advance that expresses the results that will be obtained from testing a hypothesis is a prediction. A hypothesis is supposition or proposed explanation made on the basis of limited evidence as a starting point for further investigation.
Absolutely not. Hypothesis testing will never support a hypothesis, only fail to reject it.