# When is a hypothesis confirmed?

## When is a hypothesis confirmed?

A hypothesis is confirmed or refuted by its observable consequences. If the observable consequences occur, then a hypothesis is considered to be (partially) confirmed; otherwise as refuted.

## When is significant?

If a statistical result is designated as significant, this expresses that the probability of error that an assumed hypothesis also applies to the population is not above a specified level.

## When is a value significant?

That means: If the probability that a result came about by chance is less than 5%, it is considered “significant” (p

## When is P value significant?

Rules of thumb for the p-value Usually a p-value of a maximum of 5% or 1% is aimed for. This means that the difference between two groups would then be statistically significant with 1-p = 95% or with a 99% probability.

## When is the confidence interval significant?

Conclusions about the statistical significance are possible with the help of the confidence interval. If a confidence interval does not contain the value of the “zero effect”, a “statistically significant” result can be assumed.

## What does it mean when the P value is zero?

1 definition. The p-value is the probability that the test statistic (= test variable, test variable, test function) – if the null hypothesis (H0) is valid – assumes at least the value calculated in the sample (i.e. this value or a larger value). The p-value is often given by statistical software.

## How do you come up with a research question?

Choose a research question that is open-ended and whose solution or answer can evolve during your scientific exposition. In summary, a scientific question should not be formulated too extensively or ambiguously, and should be answerable, open and realistic.

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