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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
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?
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