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Provided by: 123-CBT Computer Based Training Hypothesis Tests for Variances Proportions ANOVA and Chi-Square in Six Sigma |
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Training
Provided by 123-CBT Computer Based Training
The hypothesis test is one of the most important tools used in the Analyze stage of the Six Sigma DMAIC methodology. A hypothesis test helps to determine whether or not an observed relationship or difference truly exists between inputs and outputs identified in the earlier stages of the process. Six Sigma teams are interested in determining whether this relationship or difference is due to random chance or if it is a true difference. If it is a real difference, Six Sigma teams like to determine if it has practical significance. The goal of this course is to explore several of the hypothesis tests used in Six Sigma. The course covers the key steps for testing hypotheses for proportions, variances, and paired comparisons with the help of real-life examples and case studies. It also covers how to use single-factor analysis of variance (ANOVA) and how to test hypotheses using a chi-square test. This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
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Hypothesis Tests for Variances Proportions ANOVA and Chi-Square in Six Sigma
Overview:
The hypothesis test is one of the most important tools used in the Analyze stage of the Six Sigma DMAIC methodology. A hypothesis test helps to determine whether or not an observed relationship or difference truly exists between inputs and outputs identified in the earlier stages of the process. Six Sigma teams are interested in determining whether this relationship or difference is due to random chance or if it is a true difference. If it is a real difference, Six Sigma teams like to determine if it has practical significance. The goal of this course is to explore several of the hypothesis tests used in Six Sigma. The course covers the key steps for testing hypotheses for proportions, variances, and paired comparisons with the help of real-life examples and case studies. It also covers how to use single-factor analysis of variance (ANOVA) and how to test hypotheses using a chi-square test. This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.Pre-Requisites:
noneTarget Audience:
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental levelModality:
WEBLesson:
Course Overview|Tests for Variances| - identify some of the activities associated with testing hypotheses for variances|Tests for Proportions| - identify some of the activities associated with testing hypotheses for proportions|Paired-comparison Tests| - identify some of the activities associated with testing hypotheses using paired-comparison tests|Single-factor ANOVA| - recognize how to determine ANOVA figures in a given scenario|Chi-square Tests| - use a chi-square test statistic to determine statistical significance|
About The Training Provider: 123-CBT Computer Based Training
123-CBT Computer Based Training - 123-CBT offers discount pricing on top quality eLearning
programs from leading computer based training providers. Many of the training courses are available both online or on CD so that you can study at home at your own pace:
E-Learning available for
- ABAP 6. 10
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