Minitab Course
Certified Minitab Training Program – Course Outline
Module 01: Introduction
Module 02: Getting started with Minitab
– Graph Tab
– Stat Tab
– Other Tabs
– Common Pitfalls in Analyzing Data
– Bias
– Error in Methodology
– Problems in Interpretation
– Avoiding the Common Pitfalls
Module 03: Graphical Analysis
– Basic Statistics
– Case Study
– Bar Chart and Pie Chart
– Pareto Chart and Histogram
– Box Plot and Dot Plot
– Individual Value Plot
– Run Chart
– Measuring Central Tendency and Spread
– Normality Test
Module 04: Control Charts
-Case Study
– Couturier Garments: Six Sigma Approach
– I-MR Chart
– X-R Chart
– X-S Chart
– C Chart
– U Chart
– NP Chart
– P Chart
Module 05: Measurement System Analysis
– Case Study
– Measurement System Analysis (MSA)
– Gage R and R01:21
– Demo: Gage R and R
– Attribute Gage R and R
– Demo: Attribute Gage R and R
Module 06: Process Capability
– Case Study
– Capability Analysis for Normal Data
– Capability Analysis for Nonnormal Data
– Poisson Capability Report
– Binomial Capability Report
Module 07: Hypothesis Testing
– Case Study
– One-Sample t-test
– Two-Sample t-test
– Paired t-test
– One-Sample proportion test
– Two-Sample proportion test
– One-Sample Variance test
– Two-Sample Variance test
– Chi-square: Goodness-of-fit-test
– Chi-square: Test of association
– Chi-square: cross tabulation
Module 08: Hypothesis Testing: Nonparametric Tests
– Nonparametric tests
– One-Sample sign test
– Two-Sample Mann-Whitney U test
– Friedman test
– Mood’s Median test
– One-Sample Wilcoxon Test
– Kruskal Wallis Test
Module 09: Correlation and Regression
– Case Study
– Metro Hospital: Six Sigma Approach
– Correlation Coefficient
– Correlation Coefficient
– Regression Analysis
– Simple Linear Regression
– Simple Linear Regression
– Multiple Linear Regression
– Multiple Linear Regression
Module 10: Analysis of Variance
– Case Study
– Analysis of Variance (ANOVA)
– Normality
– Equal Variation
– Residuals
– Main Effects Plot
– Interaction Plot
Module 11: Design of Experiments
– Case Study
– One Factor at a Time Approach
– Design of Experiments
– Full Factorial Design
– Anlayze Factorial Design
– Factorial Plots
– Response Optimizer
Certification
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