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We do not make a clear separation between "proven true" and "proven false" in hypothesis testing.

Hypothesis testing in statistical analysis is used to help to make conclusions based on collected data. We always have two hypothesis and must chose between them. The first step is to decide on the null and alternative hypothesis. We also must provide an alpha value, also called a level of significance.

Our null hypothesis, or status quo hypothesis is what we might conclude without any data. For example, we believe that Coke and Pepsi tastes the same. Then we do a survey, and many more people prefer Pepsi. So our alternative hypothesis is people prefer Pepsi over Coke. But our sample size is very small, so we are concerned about being wrong.

From our data and level of significance, we find that we can not reject the null hypothesis, so we must conclude that Coke and Pepsi taste the same.

The options in hypothesis testing are: Null hypothesis rejected, so we accept the alternative or Null hypothesis not rejected, so we accept the null hypothesis.

In the taste test, we could always do a larger survey to see if the results change.

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Q: What happens if a hypothesis is tested and shown to be false?
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Is the statement 'When a hypothesis is tested and shown to be incorrect the experiment is a failure' true or false?

False, your hypothesis has fallacies.


Does a hypothesis have to be true?

No. In fact, in statistics, an hypothesis is a statement whose truth is to be tested. In science, an hypothesis is a way of summarising a body of information that is capable of being shown to be false.


A hypothesis that has been tested and proven false?

That is a failed hypothesis. Although this sounds like a bad thing, in science it is actually an example of good science. The philosopher Karl Popper declared that real science was defined by hypothesis that could be tested and proven false or true. For example you can make a hypothesis that the falling speed of a body is proportional to its mass. The hypothesis can be put to test and shown false. This was the difference in World view between Aristoteles and Gallilei: Aristoteles put forward the hypothesis and Galilei tested it. Pseudo-science like astrology, religion, philosophy, politics and so on does not put forward testable hypothesis. No pseudo-science dare to put forward a testable hypothesis.


How does the terms theory and hypothesis differ?

A hypothesis is an idea. A theory is an idea that has been tested to some degree without yet being shown false. Actually this is not quite right. Hypothesis is a scientifically validated research question in the form of a statement whihc can be proven or disproven.


What if hypothesis is not supporter by the data has been collected and analyzed?

When a hypothesis is not supported by data, two possibilities exist. The hypothesis can either be rejected and a new one is formulated, or more data is required to retest the hypothesis.


A theory is a hypothesis that has been shown to be correct by many experiments?

NO, A theory becomes the hypothesis and after many experiments the hypothesis can become the law of whatever is being tested and tried, be it in physics, chemistry, biology, and or math.... However everything works in theory.....


Is evolution science or hypothesis?

Evolution is both: it began as a hypothesis by a scientist who, after some research and thought on the matter, came up with the idea. Since then, that hypothesis has been recognised as a theory, as further evidence came to light supporting the idea and predictions - which were developed based on existing evidence and what the some of the gaps might be - were made, then tested and shown correct.


How do you state an alternative hypothesis?

When more than one hypothesis is shown on a scientific paper, the alternative hypotheses can be numbered. They could use a format like, Hypothesis No. 1, Hypothesis No. 2, and so on.


What is the principle of falsfifiability?

The principle of falsifiability states that any theory or hypothesis being tested must be stated in a way that allows the possibility for disproving, rejecting or showing as inaccurate that theory or hypothesis through scientific methods, techniques and procedures. If you state a hypothesis that renders it immune to any attempts for rejecting it via scientific methods, then you have violated the falsifiability principle and such hypotheses or theories are scientifically non-viable. You must make predictions that allow your hypothesis to be shown as incorrect.


Will HIV shown up in malaria test?

No it will not. HIV must be specifically tested for.


Research has shown that alternative sweeteners are not safe for children?

FALSE!


What type of data is easily shown on a bar graph?

False