Statistical Analysis

Statistical Analysis using Minitab / Excel / SigmaXL

This program is designed to introduce the concept of data analysis as a Structured Problem Solving approach. It instils logical decision making skills in the participants and helps them draw inferences from the data. The program covers the techniques for collecting, summarizing, visualizing and understanding useful information from historical data. Along with the concept theory, we provide ‘Hands-on’ Exercises for all the platforms that help the participants get a practical experience.

Topics Covered:

This program is designed to introduce the concept of data analysis from Six-Sigma (DMAIC) point of view. It instils logical problem solving and decision making skills in the participants and helps them draw inferences from the data. The program covers the techniques for collecting, summarizing, visualizing and understanding useful information from historical data. Hands-on Exercises with sample data helps to strengthen the skills of Six Sigma Practitioners.

Topics Covered:

• Statistical Principles
• Types of Data and Measures
• Measurement System Analysis
• Normality test
• Probability and Probability distribution plots
• Process Capability
• Trend Analysis
• Forecasting
• Regression Analysis
• Hypothesis Testing, ANOVA
• Chi-Square Test
• Control Charts
• What-if analysis
• Linear Optimization and Sensitivity analysis
• Rational Decision Making
• Cognitive biases and how to avoid them
• Perception blinders

Learning Outcomes:

• Introduction and Overview of Advance Statistical tools
• Overall competency building for Implementation of Statistical tools
• Improved Decision Making skills