Please do not worry about the statistics and formula’s but try to explain Type I and II error as concepts. Use an example to describe null and alternative hypothesis and what would be a Type I and II error in that example.
What is a Type I and Type II error. How does the type of data collected and the way in which the data are collected affect the possibility of a Type I or Type II error?
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