# Six Sigma Hypothesis Tests for Variances and Proportions

Six Sigma Green Belt    |    Intermediate
• 14 videos | 43m 43s
• Includes Assessment
• CPE
Rating 3.8 of 66 users (66)
As a Lean or Lean Six Sigma project moves into the Analyze phase, team members identify possible sources of variation, underlying root causes, and areas for business process improvement. It is here where assumptions or the hypothesis about a process, product, or service are made. These are then validated using tests based on sample data. Once validated, they can drive process improvement, process control, and process design. In this course, you'll learn about some common advanced hypothesis testing techniques used for testing variances and proportions. This course covers advanced hypothesis tests used in Six Sigma, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

## WHAT YOU WILL LEARN

• Identify types of hypothesis tests Distinguish between comparison tests Interpret the results of a given paired-comparison t-test using the critical value method Interpret the results of a given paired-comparison t-test using the p-value method Interpret one-sample test for variance results Interpret two-sample test for variance results Recognize the required sample size for a test for proportions, given the hypothesized proportion
• Interpret one-sample test for proportion results Interpret two-sample test for proportion results Distinguish between anova concepts Interpret one-way anova test results Recognize valid parameters and interpretations related to chi-square tests Interpret chi-square hypothesis test results

## IN THIS COURSE

• In this video, you will learn how to identify types of hypothesis tests.
• 3.  Hypothesis Test for Paired-comparison
During this video, you will learn how to distinguish between different types of comparison tests.
• 4.  Conducting a Paired-comparison t-test
In this video, find out how to interpret the results of a given paired-comparison t-test using the critical value method.
• 5.  Examining Paired-comparison t-test Results
Learn how to interpret the results of a given paired-comparison t-test using the p-value method.
• 6.  One-sample Test for Variance
In this video, you will learn how to interpret the results of a one-sample test for variance.
• 7.  Two-sample Test for Variance
During this video, you will learn how to interpret two-sample test for variance results.
• 8.  Key Characteristics of Tests for Proportions
Discover how to recognize the required sample size for a test for proportions, given the hypothesized proportion.
• 9.  One-sample Proportion Tests
In this video, you will learn how to interpret the results of a one-sample test for proportion.
• 10.  Two-sample Proportion Tests
During this video, you will learn how to interpret the results of a two-sample test for proportions.
• 11.  Basic ANOVA Concepts
In this video, find out how to distinguish between ANOVA concepts.
• 12.  One-way ANOVA Test
Learn how to interpret the results of a one-way ANOVA test.
• 13.  Basic Chi-square Test Concepts
In this video, you will learn how to recognize valid parameters and interpretations related to chi-square tests.
• 14.  Conducting a Chi-square Hypothesis Test
During this video, you will learn how to interpret Chi-square hypothesis test results.

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