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The course takes you through the multi-vari analysis to identify positional, cyclical, and temporal variations and how to apply an effective sampling plan for conducting this analysis. It also explains the correlation coefficient, its statistical significance, and how it is different from causation. In addition, the course helps you interpret the linear regression equation and explores how you can use it to model relationships for prediction and estimation of data. This course is aligned with th |
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This bundle includes:"Analysis of Exploratory Data in Six Sigma - 1.5 hours/PDUs" Item No.oper_08_a01_bs_enus"Introduction to Hypothesis Testing and Testing for Means in Six Sigma - 2.0 hours/PDUs" Item No.oper_08_a02_bs_enus"Hypothesis Tests for Variances, Proportions, ANOVA, and Chi-Square in Six Sigma - 1.5 hours/PDUs" Item No.oper_08_a03_bs_enus" |
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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 o |
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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. |
More info ›› |
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