1. Errors In Hypothesis tests
Making Errors

2. What are they?
Type 1 Errors: The null hypothesis is true, but we mistakenly reject it.
Type II Errors: The null hypothesis is false, but we fail to reject it.

3. In Medical disease testing
The null hypothesis is usually the assumption that a person is healthy
The alternative is that he or she has the disease we’re testing.
Type I error is a false positive: A healthy person is diagnosed with the disease.
Type II error, in which an infected person is diagnosed as disease free, is a false negative.

4. In Jury Trial: Type I error: Jury convicts an innocent person.
Type II error: The jury fails to convict a guilty person.

5. Visual

6. With the bell curve

7. With the bell curve