caption: Hypothesis Testing Error Types Falsely rejecting H 0, is known as a Type I error Falsely accepting H 0, is known as a Type II error So in the example used previously:...testing at the 10% level of significance we see that 2.5%<10% so we reject H 0 in favour of H 1, the mean number of defective items is greater than 12.
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