What happens if a hypothesis is wrong

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Excepturi aliquam in iure, repellat, fugiat illum voluptate repellendus blanditiis veritatis ducimus ad ipsa quisquam, commodi vel necessitatibus, harum quos a dignissimos. Close Save changes. Help F1 or? Basic Terms Section The first step in hypothesis testing is to set up two competing hypotheses.

The two hypotheses are named the null hypothesis and the alternative hypothesis. The null hypothesis states the "status quo". This hypothesis is assumed to be true until there is evidence to suggest otherwise. This is the statement that one wants to conclude. It is also called the research hypothesis.

Example Section A man, Mr. Putting this in a hypothesis testing framework, the hypotheses being tested are: The man is guilty The man is innocent Let's set up the null and alternative hypotheses. Orangejuice is guilty Remember that we assume the null hypothesis is true and try to see if we have evidence against the null. The decision is either going to be Make a list of everything that was wrong with the hypothesis. Make a second list with the any information that was correct in the original hypothesis.

Write a short paragraph about each area where the hypothesis was correct or incorrect for a thorough explanation. Use photos, if possible, to illustrate the areas in which the hypothesis was incorrect. Write down the information that was discovered from the experiment. Record the actual results and how they differed from the original hypothesis.

Include notes for future experiments on the same topic that can help explore the idea further. Write down areas that need expansion for future experiments so that the results are more accurate, such as additional focus groups or a longer test period. Make slight changes in the process by methodically working backward, starting with a check on the analysis process.

Was the analysis off? Sometimes experimental data are incorrectly assessed. That means you have to ascertain if the analysis is where the error lies. For example, some physics experiments require mathematical calculations. If these calculations contain errors, then the analysis shows data that does not coincide with the hypothesis.

Correcting any mathematical calculations is a necessary step after any experiment, especially if they have a bearing on whether the data confirms the hypothesis.

Besides mathematical calculation analyses, evaluations that center on comparisons, making predictions or making discoveries can occur. If analyses reveal discrepancies, check whether there were any errors in the comparisons, predictions or discoveries processes. Rooting out these errors can alleviate any data-to-hypothesis discrepancies. Human error can skew experimental data, and human error can rear its head at the experimental stage — whether in setting up the experiment, running the experiment, observing the experiment or in tabulating the experimental results.

Minimizing errors at the experimental stage can affect whether the results confirm the hypothesis or not. Press ESC to cancel. Skip to content Home Research Paper What you need to do if your hypothesis is wrong?

Research Paper. Ben Davis June 1, What you need to do if your hypothesis is wrong?