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Chapter 21 - Coggle Diagram
Chapter 21
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The logic of the P-value
The P-value is a probability number calculated by the test that tells you how likely it is that your results happened by pure random luck
A simple rule for six sigma teams is: if the P-value is low (less than 0.05), the null hypothesis must go, meaning you have found proof of a real difference
If the P-value is high more than 0.05 the team fail's to reject the null and concludes there isn't enough statistical proof to say anything changed
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Testing Discrete Data
Discrete data involves categories like pass/fail or yes/no rather than exact measurements like height or weight
The 1-proportion test is used when you want to compare one sample's success rate against a specific goal or historical number
The 2-proportion test is used when you want to compare two different groups to see if one has a better rate of success than the other
An example of a 1-proportion test is checking if a specific classroom has a higher failure rate than the average rate for the rest of the shcool
These tests are common because they help prove if a process changed actually reduced the number of errors or "defects" reaching the customer
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