Hypothesis Testing

Question 1

Hypothesis definition

Answer 1

A statement made about the value of a population parameter

Question 2

Hypothesis testing

Answer 2

Uses a sample/experiment to determine whether to reject or accept the hypothesis

Question 3

Population parameter definition

Answer 3

The probability in a binomial distribution

Question 4

Null hypothesis (H0)

Answer 4

What we assume to be correct

Question 5

Alternative hypothesis (H1)

Answer 5

Tells us about the population parameter if our assumption is shown to be correct

Question 6

Test statistic definition

Answer 6

Result of experiment/statistic calculated form the sample+consider its chance of actually happening

Question 7

Significance level definition

Answer 7

Threshold we reject H0
If test statistic<SL=reject H0/accept H1

Question 8

One tailed test

Answer 8

Inequality sign is same as H1for the binomial distribution
If u can’t tell, calculate expected outcome (nxp)

Question 9

Two tailed test

Answer 9

p≠
Divide sig lvl by 2

Question 10

Critical region definition

Answer 10

Range of values of the test statistic that would lead to rejecting H0

Question 11

Critical value definition

Answer 11

Value(s) on the boundary of critical region

Question 12

Actual sig lvl definition

Answer 12

Actual prob of being in critical region (add prob of critical values)