Course Content:

Introduction to Sampling in Lean Six Sigma

Explanation of the importance of sampling in data collection and analysis.
The role of sampling in making informed decisions.
Key Concepts in Sampling

Understanding key terms and concepts:
Population vs. sample
Sampling methods (random sampling, stratified sampling, etc.)
Sample size determination
How these concepts relate to sampling in Lean Six Sigma.
Sampling Planning and Design

Steps in designing a sampling plan:
Defining the population of interest
Setting objectives and goals for sampling
Selecting an appropriate sampling method
Determining the required sample size
Hands-On Sample Size Calculation

Participants work through practical exercises to calculate sample sizes for different scenarios.
Discussing factors that influence sample size determination.
Sampling Techniques and Methods

Overview of various sampling techniques and methods, including random sampling, systematic sampling, and stratified sampling.
Choosing the right technique for different situations.
Sampling Process

Detailed steps for conducting a sampling process:
Defining the sampling frame
Selecting samples
Collecting data
Ensuring randomness and representativeness