Unit 19- Quality of hypothesis tests

Question 1

what is an error?

Answer 1

an error is not a mistake, an error is getting the incorrect conclusion even if you did the hypothesis test correct

Question 2

Type 1 error

Answer 2

A type 1 error is incorrectly rejecting H0. ie. Concluding that H0 is false, when in fact it is true. - False positive

Question 3

Type 2 errors

Answer 3

Type 2 error is incorrectly not rejecting H0 ie. Concluding that H0 is true, when in fact it is false. - False negative

Question 4

Relationship between Type 1 and Type 2 errors

Answer 4

If you reduce the chance of a Type 1 error, you will increase t he chance of a type 2 error.

If you reduce the chance of a Type 2 error, you might increase the chance of a Type 1 error.

Question 5

Reducing the risk of a type 1 error

Answer 5

reducing the significant level, however it will increase the risk of a Type 2 error

Question 6

Reducing the risk of a Type 2 error

Answer 6

Increasing the significance level, however this will increase the risk of a Type 1 error. Increasing the sample size, however taking. larger sample may not be practical.