Download Hypothesis Testing Template

yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

Document related concepts

Pattern recognition wikipedia, lookup

Expectation–maximization algorithm wikipedia, lookup

Data assimilation wikipedia, lookup

Psychometrics wikipedia, lookup

Data analysis wikipedia, lookup

K-nearest neighbors algorithm wikipedia, lookup

Corecursion wikipedia, lookup

Error detection and correction wikipedia, lookup

Hypothesis Testing Template
First, write down all of the numbers given in the problem. Second, figure out what statistic or parameter is associated
with each number. This will help you with the four steps of hypothesis testing.
s1 =
1 =
1 =
x1 =
x2 =
2 =
s2 =
or for categorical data: n1=
Step 1: State H0 and HA  H0:
p1 =
2 =
1 =
p2 =
2 =
vs. HA:
Step 2: Pick an -level.
H0 true 
H0 false 
Reject H0 
Fail to reject H0 
Type I error 
Type II error 
Significance level,  =
Step 3: Pick the appropriate test-statistic based on whether the data satisfies the test-statistic’s assumptions. Start by
listing the assumptions for the test below. Check if each assumption is met by the data. Then find the p-value. Use the
flowchart for this part.
p-value <
Step 4: State the conclusion, including whether you rejected or failed to reject AND what this means in terms of your