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QUESTION
One and Two sample hypothesis tests (see week five for the two sample tests) are either comparing a sample to a standard value or comparing to...
One and Two sample hypothesis tests (see week five for the two sample tests) are either comparing a sample to a standard value or comparing to samples to each other. Thanks to the CLT and the empirical rule we can usually trust the results. But there are exceptions. These are called Type I and Type II errors. So:
- What are Type I and Type II errors?
- Is there anything we can do to measure the likelihood of these errors and thereby reduce the chance of these errors occurring?
