Six Sigma Hypothesis Tests for Variances and Proportions
Six Sigma Green Belt
| Intermediate
- 14 videos | 43m 43s
- Includes Assessment
- Earns a Badge
- CPE
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
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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
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37s
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2m 37sIn this video, you will learn how to identify types of hypothesis tests. FREE ACCESS
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3. Hypothesis Test for Paired-comparison3m 14sDuring this video, you will learn how to distinguish between different types of comparison tests. FREE ACCESS
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4. Conducting a Paired-comparison t-test3m 36sIn this video, find out how to interpret the results of a given paired-comparison t-test using the critical value method. FREE ACCESS
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5. Examining Paired-comparison t-test Results3m 6sLearn how to interpret the results of a given paired-comparison t-test using the p-value method. FREE ACCESS
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6. One-sample Test for Variance4m 48sIn this video, you will learn how to interpret the results of a one-sample test for variance. FREE ACCESS
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7. Two-sample Test for Variance3m 15sDuring this video, you will learn how to interpret two-sample test for variance results. FREE ACCESS
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8. Key Characteristics of Tests for Proportions2m 23sDiscover how to recognize the required sample size for a test for proportions, given the hypothesized proportion. FREE ACCESS
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9. One-sample Proportion Tests3m 24sIn this video, you will learn how to interpret the results of a one-sample test for proportion. FREE ACCESS
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10. Two-sample Proportion Tests2m 50sDuring this video, you will learn how to interpret the results of a two-sample test for proportions. FREE ACCESS
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11. Basic ANOVA Concepts3m 10sIn this video, find out how to distinguish between ANOVA concepts. FREE ACCESS
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12. One-way ANOVA Test4m 10sLearn how to interpret the results of a one-way ANOVA test. FREE ACCESS
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13. Basic Chi-square Test Concepts2m 19sIn this video, you will learn how to recognize valid parameters and interpretations related to chi-square tests. FREE ACCESS
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14. Conducting a Chi-square Hypothesis Test4m 12sDuring this video, you will learn how to interpret Chi-square hypothesis test results. FREE ACCESS
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