|
Mathews
Malnar and Bailey, Inc.
Quality
engineering, applied statistical consulting,
and training services for R&D, product, process,
and manufacturing engineering organizations. |
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An Introduction to
Minitab
Course Description: This lab
course
provides an introduction to statistical methods for quality engineering
using MINITAB (V15). Students will learn to enter and manage their data
in MINITAB worksheets, how to create graphical displays of their data,
how to perform basic statistical analyses like confidence intervals,
hypothesis tests, ANOVA, and linear regression, and how to use special
methods like designed experiments, gage error studies, process
capability studies, and sample size calculations.
Course Format: This course is
usually taught in three four-hour sessions. The course must be taught
in a computer lab with one computer per student.
Course Goals: Upon
completion of this course students should be able to use MINITAB to:
1. Enter data
into worksheets manually, by copy/paste
operations, from Excel or Lotus spreadsheets, and from text files.
2. Manipulate data and make simple calculations.
3. Calculate descriptive statistics for sample
data.
4. Calculate probabilities and inverse
probabilities
for common probability distributions.
5. Create and edit basic graphical data
presentations.
6. Construct and interpret normal probability
plots.
7. Construct confidence intervals and perform
simple
hypothesis tests for one and two sample location and variation problems.
8. Perform hypothesis tests for one and two
sample
fractions defective.
9. Create control charts for defectives,
defects, and
measurement data.
10. Fit lines and curves to data and plot them.
11. Use ANOVA to test one- and two-way
classification
problems for differences between treatments.
12. Create and analyze a simple factorial
designed
experiment.
13. Analyze data from gage error studies.
14. Analyze data from process capability studies.
15. Calculate sample sizes for experiments.
16. Print data, statistical analyses, and graphs.
17. Store work in project and worksheet files.
18. Write and execute simple macros.
Prerequisites:
Students should have successfully completed a short course in basic
statistical methods including:
- Basic graphical data presentation techniques
- Calculation of statistics for location (e.g. the mean) and
variation (e.g. the standard deviation)
- An introduction to attribute probability distributions for
defectives (hypergeometric and binomial) and defects (Poisson)
- An introduction to the design and operation of acceptance
sampling methods for defects and defectives
- An introduction to the use of the normal distribution to
describe variables data
- An introduction to confidence intervals for population
parameters
- An introduction to hypothesis tests for location and
variation
- An introduction to SPC control charts for defectives,
defects, and measurement data
- An introduction to linear regression methods
- An introduction to ANOVA
Students are also expected to have basic Microsoft Windows skills.
Course Outline: Each
section includes a short presentation and one or more hands-on
exercises:
1. Overview of
the Minitab Environment
2. Data Types and Format
3. Entering and Saving Data
4. Manipulating Data
5. Calculations
6. Descriptive Statistics
7. Graphs
8. Calculating Probabilities
9. Confidence Intervals for Attribute and
Variables
Data
10. Tests for Attribute and Variables Data
11. Statistical Process Control
12. Analysis of Variance
13. Linear Regression
14. Design of Experiments
15. Gage Error Studies
16. Process Capability Studies
17. Reliability/Life Test Data Analysis
18. Sample Size and Power Calculations
19. Command Line Operations
20. Minitab Macros
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