Biostats for Basic

Question 1

What is a Null Hypothesis?

Answer 1

H_o

(in a statistical test) the hypothesis that there is no significant difference between specified populations, any observed difference being due to sampling or experimental error.

Question 2

What is an alternative hypothesis?

Answer 2

Alternative hypothesis (Ha) = there is a difference in the two populations

Question 3

What is a Type I error?

Answer 3

α error = incorrectly accepting Ha (false positive)

Question 4

What is a Type II Error?

Answer 4

α error = incorrectly accepting Ha (false positive)

Question 5

Fill in each box

Answer 5

Boxes filled in

Question 6

Rejecting a false alternative hypothesis refers to the “A” of the test.

Rejecting a false null hypothesis refers to the “B” of the test.

Answer 6

A = specificity

B = Sensitivity

Question 7

The “A” of hypothesis testing refers to the probability of correctly rejecting Ho when Ha is true (i.e., the chance of having a true positive).

Answer 7

Power

Question 8

What is Power, in terms of an equation?

Answer 8

1 - Beta

Beta = Error Threshold

Beta = Type II Error (incorrectly accepting Ho) which is a False Negative