1 Explain the difference between a type I error and a type I

1. Explain the difference between a type I error and a type II error. Provide an example of each using real-world examples. Do not use the criminal justice system and innocent vs. guilty.

2. Explain the difference between a hypothesis test and a confidence interval. How are they similar?

Solution

1.

A type I error is incorrectly rejecting a true null hypothesis, while a type II error is incorrectly FAILING to reject a false null hypothesis.

A real world example of a type I error is when a person tests positive for HIV, when in fact, we doesn\'t have HIV.

In this case also, a type II error is testing a person negative of HIV, when in fact, he has HIV.

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