First, a hypothesis statement and assumption are made about the population parameter or probability distribution. This initial statement is called the Null Hypothesis and is denoted by Ho. An ...

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Hypothesis testing begins with a statement, known as the null hypothesis. The statement is typically one which says that there is “nothing” special going on, and that “no” dramatic action is called ...

It then remains possible that in future samples, null results can occur with a probability > .95 without overturning the falsity of that hypothesis.

Confusing these two is equivalent to mixing up “given that someone is Catholic, what is the probability that they are the Pope?” and “given that someone is the Pope, what is the probability that they ...

And again, an important characteristic of hypothesis testing is that statisticians can only attach a probability about being wrong if they reject the null hypothesis.

The hypotheses of Fisher’s exact test are as follows: The null hypothesis (H0) is that there is no association between the two variables. The alternative hypothesis (H1) is that there is an ...

The p-value is the probability of observing a result as extreme, or more extreme, than that which you have observed if the null hypothesis were true. In other words, the probability that this result ...