MODULE 6: HYPOTHESIS TESTING

hypothesis testing

one of the most commonly used inferential procedure. It is a statistical method that uses sample data to evaluate the validity of population parameter.

reasonable

if the data gathered is consistent, hypothesis is

rejected

if the data gathered is discrepant, hypothesis is

null hypothesis

it states that in general population there is no chance, no difference, and no relationship.

alternative hypothesis

it states that there is a change, difference, or there is a relationship in the general population.

alpha/ significance level

a probability value used to define “very unlikely” outcomes

null hypothesis is rejected

if sample statistic is located in the critical region (< .05)

fails to reject null hypothesis

if sample statistic is NOT located in the critical region (>.05)

type 1 error

rejects null hypothesis that is actually true

type 2 error

fails to reject null hypothesis that is actually false

directional hypothesis test (one-tail)

has a specific prediction about the direction of the treatment

non-directional test (two-tailed)

there is no direction, it simply want to know the difference