Question

*
Any two types
of error.​

Answer 1

Answer:

In statistical hypothesis testing a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion).

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Answer 2

Answer:

A type II error, or false negative, is where a test result indicates that a condition failed, while it actually was successful. A Type II error is committed when we fail to believe a true condition. Candy Crush Saga. Continuing our shepherd and wolf example. Again, our null hypothesis is that there is “no wolf present. .

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