| Types of data Categorical, Numerical, Discrete (or attribute),Continuous (or variable) Basic Statistics Measures of Central Tendency and Dispersion, Understanding Standard Deviation, Normal curves, Evaluate Minitab outputs as they relate to basic statistics Control Charts for variables Common and special causes of variation, Control Chart Theory, Establishing X-bar and R charts, Using x-bar and r charts to monitor production Process Capability Specification limits versus natural limits of process output, Process Capability indices Cp, Cpk, Short term variation versus long term variation, Pp, Ppk Special Variable Control Charts Pre-Control Analyzing Attribute Data Binomial Distribution, p and np charts, c and u charts Measurement Assurance Measurement Variation, Accuracy and Precision, Repeatability and Reproducibility, Gage R&R Learning Objectives: - Learn the foundation theory and SPC tools for analyzing data and improving your company
- Learn how to use Minitab software as a tool in analyzing data
Rev 123009 |