What is a Type I error in statistics?
An example of an AI chatbot conversation about Type I errors in statistics.
What is a Type I error in statistics?
A Type I error occurs when we reject a true null hypothesis, also known as a false positive.
Can you give me an example of a Type I error?
Sure! If a medical test indicates a patient has a disease when they actually do not, that's a Type I error.
How can we reduce the chances of a Type I error?
We can reduce Type I errors by setting a lower significance level (alpha) for our tests, like 0.01 instead of 0.05.
What is the significance level in hypothesis testing?
The significance level is the probability of making a Type I error, typically denoted by alpha (α).
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