What is statistical significance in hypothesis testing?
An example of an AI chatbot conversation about understanding statistical significance in testing.
What is statistical significance in hypothesis testing?
Statistical significance helps determine if the results of a test are likely due to chance or if they reflect a true effect.
How do you calculate statistical significance?
You typically use a p-value, which indicates the probability of observing your results if the null hypothesis is true.
What is a p-value?
A p-value measures the strength of evidence against the null hypothesis; a lower p-value suggests stronger evidence.
What is the common threshold for significance?
The common threshold is 0.05, meaning there's a 5% chance the results are due to random variation.
Can you explain Type I and Type II errors?
Type I error occurs when we reject a true null hypothesis, while Type II error happens when we fail to reject a false null hypothesis.
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