# Six Sigma Hypothesis Testing Fundamentals

Six Sigma Green Belt    |    Intermediate
• 14 videos | 51m 50s
• Includes Assessment
• CPE
Rating 4.0 of 128 users (128)
During the Analyze phase of a Lean or Lean Six Sigma improvement project, the team conducts a number of statistical analyses to determine the nature of variables and their interrelationships in the process under study. This can in turn lead to business process improvement. In this course, you'll learn about some of the basic concepts relating to hypothesis testing, and how it can drive process improvement, process control, and process design. You'll also explore how to carry out various types of hypothesis test design, to find and compare means. The course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

## WHAT YOU WILL LEARN

• Identify the purpose of hypothesis testing
Distinguish between hypotheses testing concepts
Identify best practices when establishing the practical significance of hypothesis testing results
Recognize how confidence intervals are used in hypothesis testing
Distinguish between error types
Identify factors that affect the power of a hypothesis test
Determine sample size for a given alpha risk level using margin of error formula
• Sequence the steps in the hypothesis testing process
Distinguish between hypothesis tests
Interpret hypothesis test results and determine appropriate response
Distinguish between t- and z-tests
Test a hypothesis using a pooled two-sample test for means
Test a hypothesis using a non-pooled two-sample test for means

## IN THIS COURSE

• During this video, you will learn how to identify the purpose of a hypothesis test.
• 3.  Null and Alternative Hypotheses
In this video, find out how to distinguish between hypotheses testing concepts.
• 4.  Statistical and Practical Significance
Learn how to identify best practices when establishing the practical significance of hypothesis testing results.
• 5.  Point and Interval Estimates
In this video, you will learn how to recognize how to use confidence intervals in hypothesis testing.
• 6.  Type I and Type II Errors
During this video, you will learn how to distinguish between error types.
• 7.  Power of a Hypothesis Test
Discover how to identify factors that affect the power of a hypothesis test.
• 8.  Determining Appropriate Sample Size
In this video, you will learn how to determine sample size for a given alpha risk level using the margin of error formula.
• 9.  Hypothesis Testing Steps
During this video, you will learn how to sequence the steps in the hypothesis testing process.
• 10.  One- or Two-tailed Hypothesis Tests
In this video, you will learn how to distinguish between hypothesis tests.
• 11.  The Critical Value and P-value Methods
Learn how to interpret hypothesis test results and take appropriate action.
• 12.  One-sample t- and z-tests
In this video, you will learn how to distinguish between t-tests and z-tests.
• 13.  Pooled Two-sample t-test for Means
During this video, you will learn how to test a hypothesis using a pooled two-sample test for means.
• 14.  Non-pooled Two-sample t-test for Means
Discover how to test a hypothesis using a two-sample test for means that is not pooled.

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