What is the difference between 'Type I' and 'Type II' errors in hypothesis testing? - Study24x7
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Ashish Verma
01 Mar 2024 11:02 AM study24x7 study24x7

What is the difference between 'Type I' and 'Type II' errors in hypothesis testing?

A

Type I is rejecting a true null hypothesis, Type II is failing to reject a false null hypothesis

B

Type I is about sampling errors, Type II is about measurement errors

C

 Type I is a syntax error, Type II is a logical error

D

Type I errors are related to precision, Type II errors are related to accuracy

Computer Programming Data Science
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