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How do you support or reject a hypothesis?

How do you support or reject a hypothesis?

Support or reject null hypothesis? If the P-value is less, reject the null hypothesis. If the P-value is more, keep the null hypothesis. 0.003 < 0.05, so we have enough evidence to reject the null hypothesis and accept the claim.

What is the conclusion of the hypothesis test?

To get the correct wording, you need to recall which hypothesis was the claim. If the claim was the null, then your conclusion is about whether there was sufficient evidence to reject the claim.

What is the conclusion if you reject the null hypothesis?

The two possible verdicts are similar to the two conclusions that are possible in a hypothesis test. Reject the null hypothesis: When we reject a null hypothesis, we accept the alternative hypothesis. This is like a guilty verdict. The evidence is strong enough for the jury to reject the assumption of innocence.

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Is the hypothesis rejected or accepted?

If the tabulated value in hypothesis testing is more than the calculated value, than the null hypothesis is accepted. Otherwise it is rejected. The second approach of hypothesis testing is the probability value approach. The second step of this approach is to determine the test size.

How do you support your hypothesis?

Hypothesis basics The basic idea of a hypothesis is that there is no pre-determined outcome. For a hypothesis to be termed a scientific hypothesis, it has to be something that can be supported or refuted through carefully crafted experimentation or observation.

Is my hypothesis correct?

Upon analysis of the results, a hypothesis can be rejected or modified, but it can never be proven to be correct 100 percent of the time. For example, relativity has been tested many times, so it is generally accepted as true, but there could be an instance, which has not been encountered, where it is not true.

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Should I reject or accept the null hypothesis?

Using the sample data and assuming the null hypothesis is true, calculate the value of the test statistic. If the P-value is less than (or equal to) , reject the null hypothesis in favor of the alternative hypothesis. If the P-value is greater than , do not reject the null hypothesis.

When we can reject null hypothesis?

We assume that the null hypothesis is correct until we have enough evidence to suggest otherwise. After you perform a hypothesis test, there are only two possible outcomes. When your p-value is less than or equal to your significance level, you reject the null hypothesis. The data favors the alternative hypothesis.

Why is hypothesis not accepted?

A null hypothesis is not accepted just because it is not rejected. However, there would be no basis to conclude that the null hypothesis is true. It may or may not be true, there just is not strong enough evidence to reject it.

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Can a hypothesis not be supported?

If the initial hypothesis is not supported, you can go back to the drawing board and hypothesize a new answer to the question and a new way to test it. Either way, the process of experimentation often leads to whole new questions to explore. The possibilities are infinite, and the search for knowledge is never-ending.

Do you support or prove hypothesis?

It must be a testable statement; something that you can support or falsify with observable evidence. The objective of a hypothesis is for an idea to be tested, not proven. The results of a hypothesis test can demonstrate only whether that specific hypothesis is or is not supported by the evidence.