Lean Six Sigma Analyst

On the last day of the training, delegates sit on the Statistical Analyst certification exam.

• In the course we consider more advanced techniques required to help analyse process data, interpret the results and apply inferential techniques to measure the risk associated with change and improvement decisions.
• Upon completion of LSSA delegates are fully equipped to tackle more complex business problems and complement qualitative analysis from the Green Belt (process modelling, VOC analysis, Value analysis, Root cause analysis) with formal statistical methods (estimation, hypothesis testing, correlation analysis).
• Theoretical concepts are supported by hands on exercises using real project data.
• Software used is Minitab
• If you have any queries about your projects following the course or wish to submit your project for accreditation then please contact the Lean Six Sigma group
• Introduction to Minitab
• Basic functions and data manipulation within Minitab
• Measure
• Types of data - continuous and discrete
• Sample size
• Measurement Systems Analysis - Attribute Agreement Analysis
• Basic statistics - Mean, Median and Mode; Range and Standard Deviation
• The Central Limit Theorem (CLT)
• Basic graphical analysis within Minitab
• Analyse
• Estimation (point estimation and confidence intervals)
• Hypothesis Testing - Introduction
• Hypothesis Testing Examples and Minitab Exercises
• Statistical Tests on Continuous data (Z and t tests, tests for variances, ANOVA - Analysis of Variance
• Non Normal data
• Non Parametric Tests
• Tests for discrete variables (proportions, Chi-Square)
• Correlation Analysis and Correlation indexes (Pearson, Spearman)
• Regression Analysis overview and exercises
• Control
• Statistical Process Control
• SPC applicability and interpretation of Control Charts
• Charts for continuous data and discrete data