Applying Statistics in Lean Six Sigma
To put statistics into practice is to work with Lean Six Sigma. This course will teach you all the essential tools and techniques regarding intermediate statistics in Lean Six Sigma.
What you'll learn
To turn data into knowledge is the real challenge for any Lean Six Sigma practitioner. In this course, Applying Statistics in Lean Six Sigma, you’ll learn how to run statistical analysis, tests, and transform them into business-friendly presentations. First, you’ll explore how to apply data to real-world situations. Next, you’ll discover how to apply hypotheses and sample tests. Finally, you’ll learn how to create advanced control charts. When you’re finished with this course, you’ll have the skills and knowledge needed to truly apply statistics into Lean Six Sigma.
Table of contents
- Course and Module Overview 4m
- Reviewing Normal Probability Distributions 3m
- Using Exponential Distribution 3m
- Using Lognormal Distribution 2m
- Using Weibull Distribution 1m
- Cauchy, Logistic, and Laplace Distribution 2m
- Uniform, Beta, Gamma, and Triangular Distribution 2m
- Using the Binomial Distribution 5m
- The Binomial Formula 3m
- Knowing the Poisson Distribution 4m
- Poisson Distribution Equation 2m
- Poisson Distribution Calculation 2m
- Geometric Distribution and Negative Binomial 2m
- Module Overview 3m
- Hypothesis Test Basics 2m
- Null, Alternative, and Right Hypothesis Test 3m
- Hypothesis Tests for Discrete Data 2m
- Proportion Test 2m
- The 1-sample T Test 2m
- The Chi-square Test (Or 1-variance Test) 2m
- The 2-sample T Test 2m
- The Mann-Whitney Test 1m
- Running Hypothesis Tests 5m
- Hypothesis Testing in Analyze, Improve, and Control 3m