Science, asked by shardapreeti9483, 1 year ago

Define type 1 and type 2 error in hypothesis testing

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Answered by Bhawana7

1

in statistical hypothesis testing a Type 1 error is the incorrect rejection of a true null hypothesis when a type 2 error is incorrectly retaining a false null hypothesis.

most simply stated a type 1 error is to falsely infer the existence of something that is not there , while in a type 2 error is to falsely infer for the absence of something that is

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