Video - Type I and type II errors
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Video Summary
Two types of errors can occur in statistics and hypothesis testing. These are Type I and Type II errors. Type I error, also known as a false positive, occurs when a researcher rejects a null hypothesis that is actually true. In other words, the researcher concludes that there is a significant effect or relationship when there really isn't. On the other hand, type II error, which is also known as a false negative, occurs when a researcher fails to reject a null hypothesis that is actually false. In other words, the researcher concludes that there is no significant effect or relationship when there really is.
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