Lecture 3 - Hypothesis Testing

Question 1

describe “p” in terms of hypothesis testing

Answer 1

= probability of incorrectly rejecting the null hypothesis

ie falsely saying there is a difference when there really is not

Question 2

we normally set a confidence interval at ____ so p is usually less than ____

Answer 2

95%;

.05

Question 3

type 1 vs type 2 error:
_____ is when you incorrectly ACCEPT the null hypothesis;
_____ is when you incorrectly REJECT the null hypothesis

Answer 3

type 2;

type 1

Question 4

____ is the probability of making a type 1 error

Answer 4

alpha

Question 5

when we use a 95% confidence interval, we are setting ____ to be 5% ie, it is a criterion.

Answer 5

alpha

Question 6

____ is the probability of making a type II error.

Answer 6

beta

Question 7

____ is the probability of rejecting the null hypothesis when it is false

Answer 7

power;

ie ability to prove 2 things are actually different

Question 8

we usually allow a ____ chance of making a type 1 error and a ____ chance of making a type II error

Answer 8

5%;

20%

Question 9

equation for power

Answer 9

1 - beta

Question 10

alpha and beta have a _____ relationship

Answer 10

inverse;

ie decrease alpha –> increase beta

Question 11

3 ways to increase power and decrease ____:
____ sample size;
_____ effect size;
_____ precision;

which is most important way

Answer 11

beta;
increase;
increase;
increase;
(also increase alpha)

increasing sample size is most important