PLAN YOUR CLASSES WITH THESE T-TEST AND SPC LESSONS AND SUPPLEMENTAL MATERIALS THAT BRING STATISTICS TO LIFE.
Download any and all of these instructional packages for teaching statistical concepts and tools. Lesson plans include instructor notes, exercises, answer keys, and data sets.
AVAILABLE T-TEST LESSON PLANS INCLUDE:
- Population Mean Inference for Normally Distributed Data and Unknown Population Standard Deviation: Construct confidence intervals and conduct hypothesis tests on the true mean μ of a population.
- Two-Sample t-Test for Population Means: Construct confidence intervals and conduct hypothesis tests to compare means from two independent populations.
- Paired t-Test for Population Means: Construct confidence intervals and conduct hypothesis tests on the true mean difference μd between two sets of paired observations.
AVAILABLE SPC LESSON PLANS INCLUDE:
- History of Quality Control: Get a timeline of the milestones as quality control came to life
- Deming’s Funnel Experiment: The funnel experiment is a mechanical representation of many real-world processes where we work.
- Deming’s 14 Points for Management: Learn the philosophy about continuous improvement.
- Deming’s Red Beard Experiment: Dr. Deming often refers to this as a “stupid experiment that you’ll never forget.”
- Statistically Speaking: What is Six Sigma Quality? Follow the lesson to determine what is Six Sigma quality.
- Quality Management; Practices, Standards, and Tools: Learn how to measure quality performance.
- Xbar Chart: The Central Limit Theorem is the heart of probability theory.
- Quality Methods 1 - Introduction to Control Charts: Statistical Process Control (SPC), Basics of Control Charts, OC Curve, Power, ARL
- Quality Methods 2 - Introduction to Control Charts: "The Zones” & Other Rules for Indicating an Out of Control Process
- Quality Methods 3 - Introduction to Control Charts: Learn about commonly used control charts
- Standardized Control Charts for Measurement Data with Varying Sample Sizes: This lesson includes an overview of the subject, instructor notes, and example exercises using Minitab
- Quality Methods: Control Charts for Individual Units: Control Charts for Individuals (I or X) and Moving Ranges (MR)
- Transforming Non-Normal Data: This lesson includes an overview of the subject, instructor notes, and example exercises using Minitab
- Rational Subgrouping: The Pertinent Question is NOT how to do things right —but how to find the right things to do,
and to concentrate resources and efforts on them
- Capability Analysis: As we gather data for our processes, we must continue to ask: “Is our process capable of meeting these specifications and to what extent"
- Capability Analysis with Non-Normal Data: Why do we need to transform non-normal data?
- Quality Methods - Probability Distributions: Learn about the different types of situations Probability Distributions model
- Quality Methods - Special Discrete Distributions: Learn about Special discrete random variables
- Quality Methods - Control Charts for Attributes: Types of attributes charts
- c charts: Open your bag of M&M’s and (1) count the total # of M&M’s and (2) count the # of those M&M’s that are “defective.”
- Time-Weighted Charts: Time-Weighted Charts: MA, EWMA, CUSUM
