Hypothesis Tests for Variances and Proportions in Six Sigma

As a Six Sigma project moves into the Analyze phase, team members identify possible sources of variation, underlying root causes, and areas for improvement. It is here where assumptions or hypotheses about a process, product, or service are made and validated using tests based on sample data. This course will familiarize you with some of the advanced hypothesis tests used in Six Sigma, such as test for proportions, variances, and analysis of variance (ANOVA). You will learn how to use Paired-comparison t-test and chi-square tests for validating hypotheses. This course is aligned to the ASQ Body of Knowledge and is designed to assist Green Belt candidates toward achieving their certifications and becoming productive members of their Six Sigma project teams.

• Topic T4 Objective O5
• Identify types of hypothesis tests
• Topic T9 Objective O10
• Distinguish between examples of paired-comparison and two-sample t-tests
• Topic T14 Objective O142
• Interpret the results of a given paired-comparison t-test using the critical value method
• Topic T17 Objective O145
• Interpret the results of a given paired-comparison t-test using the p-value method
• Topic T24 Objective O25
• Determine whether to accept a null hypothesis based on given paired-comparison t-test results
• Topic T32 Objective O160
• Conduct a one-sample test for variance, given a scenario
• Topic T37 Objective O38
• Conduct a one-sample test for variance
• Topic T44 Objective O176
• Conduct a two-sample test for variance, given a scenario
• Topic T49 Objective O50
• Conduct a two-sample test for variance
• Topic T53 Objective O231
• Recognize the required sample size for a test for proportions, given the hypothesized proportion
• Topic T58 Objective O238
• Conduct a one-sample test for proportion, given a scenario
• Topic T63 Objective O245
• Conduct a two-sample test for proportion, given a scenario
• Topic T68 Objective O69
• Conduct one- and two-sample tests for variance
• Topic T76 Objective O192
• Match ANOVA concepts to their corresponding definitions
• Topic T81 Objective O201
• Conduct a one-way ANOVA test, given a scenario
• Topic T86 Objective O87
• Conduct a one-way ANOVA test for means
• Topic T94 Objective O212
• Recognize valid parameters and interpretations related to chi-square tests