SITEMAP ABOUT
:: CONTACT
MiC Quality

SIX SIGMA GLOSSARY

  PROCESS IMPROVEMENT AND SIX SIGMA
ONLINE COURSES FREE TRIAL SIX SIGMA FAQ BROCHURES LICENSES ENROLL
GLOSSARY
:: Online Courses
:: Free Trial
:: Six Sigma
>> Glossary
>> Calculators
>> Reference Tables
>> Book Reviews
>> Black Belt ASQ
:: FAQ
:: Brochures
:: Licenses
:: Discounts
 
Welcome to MiC Quality Six Sigma Resources

MiC Quality
Online Learning
:: Home ::Six Sigma ::SIX SIGMA GLOSSARY: Hypothesis Testing :: CURRENT STUDENTS LOGIN

[SIX SIGMA GLOSSARY ALPHABETICAL INDEX] [SIX SIGMA GLOSSARY INDEX OF TOPICS]

Hypothesis Testing
 

A hypothesis test consists of two complementary propositions. For example, suppose that the test is to see if a process mean differs from zero:

H0 the mean equals zero (this is the 'null hypothesis')
H1 the mean does not equal zero (this is the 'alternative hypothesis')

The test will determine the probability of getting the observed results if H0 were true. This probability is known as the p-value.

Terms used in hypothesis testing include:

Alpha Risk Power of a Test

Alpha Value (Significance Level)

P-value
Beta Risk Statistical v Practical Significance
Single/Double Sided Test Type I & Type II Errors
 

Hypothesis testing is covered in the MiC Quality Advanced Statistics Course.

Try out our courses by taking the first module of the Primer in Statistics free of charge.

  Enroll Now
[SIX SIGMA GLOSSARY ALPHABETICAL INDEX] [SIX SIGMA GLOSSARY INDEX OF TOPICS] [Top]

MiC Quality Courses
:: Six Sigma Primer
:: Primer in Statistics
:: Advanced Statistics
:: Statistical Process Control SPC
:: Advanced SPC
:: Design of Experiments
:: Advanced DOE
:: Measurement Systems Analysis MSA/ Gage R&R
   
Primer in Statistics
FREE First Module
"Introduction to Statistics"

PDF

Primer in Statistics
FREE Reference Booklet

FREE Excel Primer
   
Learn More



 
Copyright 1998-2014 MiC Quality Legal Notices and Privacy Policy