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Type I Error - What is a Type 1 and Type 2 error?
Answer
When researchers ignore a null hypothesis that holds true in the population, it results in a Type I mistake, often known as a false-positive. When researchers fail to reject a null hypothesis that is not true in the population, it is known as a Type II mistake, sometimes called a false-negative.
