Statistical Methods Course Descriptions
Basic Course Series
Basics 1: Introduction to JMP using JMP v.7
Basics 2: Exploratory Data Analysis using JMP v.7
Basics 3: Model Building using JMP v.7
Design of Experiments
Design of Experiments 1 using JMP v.7
Design of Experiments 2 using JMP v.7
Applications
Applications 1: Gauge Studies using JMP v.7
Applications 2: Statistical Process Control using JMP v.7
JMP Scripting Language
JMP Scripting Language using JMP v.7
Other Courses
Other courses are available on an as-requested basis. These courses include topics such as time series analysis, multivariate methods, reliability analysis, and others. Contact us if you are interested in a course which is not on the schedule.
Prerequisites
Most Statistical Methods courses have prerequisites. Please check the course descriptions to determine whether there are prerequisites for the course you plan to take.
If you feel you already have the prerequisite knowledge without taking one of SEMATECH's classes, contact us at statweb@ismi.sematech.org to discuss your situation.
SST0701 Basics 1: Introduction to JMP
This 8 hour class will cover the basics of how to use the JMP statistical software: creating and editing tables, creating descriptive statistics, working with report windows, and creating graphics. No statistical information is discussed.
Who Should Attend
Engineers, scientists, and technicians who need to learn statistical software.
Prerequisites
Computer knowledge.
Expected Results
After completing this course, participants will be able to:
- create and edit tables in JMP.
- create descriptive statistics such as the mean, standard deviation and IQR.
- create graphical displays of data such as boxplots, scatterplots and histograms.
SST0702 Basics 2: Exploratory Data Analysis
This 16 hour class will cover descriptive statistics, graphical analysis, probability models, confidence intervals, and hypothesis testing.
Who Should Attend
Engineers, scientists, and technicians who need to learn how to summarize data and use statistical methods.
Prerequisites
Basics 1: Introduction to JMP or equivalent software knowledge; knowledge of algebra.
Expected Results
After completing this course, participants will be able to:
- determine the appropriate statistics to adequately describe a distribution of data.
- determine the appropriate graph to adequately display data.
- describe the relationship between two or more variables.
- describe several probability models and how to use them to analyze data.
- develop confidence intervals for population parameters.
- develop hypothesis tests for population parameters.
- develop an understanding of variability.
SST0703 Basics 3: Model Building
This 16 hour class will cover multiple comparison tests and statistical model building. Analysis of Variance concepts and variance components analysis will be covered. The examples and exercises completed in this class use the JMP software package.
Who Should Attend
Engineers, scientists, and technicians who need to learn how to build models and test how they fit data.
Prerequisites
Basics 2: Exploratory Data Analysis or equivalent software and statistical knowledge.
Expected Results
After completing this course, participants will be able to:
- perform the more common multiple comparison tests correctly.
- understand the theory of Analysis of Variance tables and be able to interpret standard ANOVA tables.
- build a model of a process from gathered data and assess the goodness-of-fit of the model.
SST0711 Design of Experiments 1
This 16 hour class provides an introduction to the basic concepts and tools of statistical experimental design. Topics include the design and analysis of screening experiments (full factorials and fractional factorials). Analysis and interpretation topics integrate the use of JMP software to support analysis of variance, multiple linear regression, and empirical model building.
Who Should Attend
Engineers, scientists, and technicians who are involved in characterizing, evaluating, and improving processes and equipment.
Prerequisites
Basics 3: Model Building or equivalent software and statistical knowledge.
Expected Results
After completing this course, participants will be able to:
- design, analyze and interpret screening experiments.
- use JMP software to design and analyze screening experiments.
- understand good experimental practice.
SST0712 Design of Experiments 2
This 16 hour class provides an introduction to the practice of experimentation for process optimization. Topics include response surface designs, split plot designs, strip plot designs, and computer-aided (optimal) designs. Analysis and interpretation topics integrate the use of JMP to support analysis of variance and multiple linear regression.
Who Should Attend
Engineers, scientists, and technicians who are involved in characterizing, evaluating, and improving processes and equipment.
Prerequisites
Design of Experiments 1 or equivalent software and statistical knowledge.
Expected Results
After completing this course, participants will be able to:
- implement the Path of Steepest Ascent method of designing experiments.
- design, analyze, and interpret response surface methodology experiments.
- understand the complexity of doing experimental design in a batch processing environment.
- understand the costs and benefits of performing an optimal experiment.
SST0721 Applications 1: Gauge Studies
This 8 hour class provides an introduction to the measurement systems analysis studies. Topics covered include determining the factors to study, conducting the study, and using graphical and numerical analysis to summarize the results.
Who Should Attend
Engineers, scientists, and technicians who are involved in evaluating metrology tools.
Prerequisites
Basics 3: Model Building or equivalent software and statistical knowledge.
Expected Results
After completing this course, participants will be able to:
- design and analyze a gauge study.
SST0722 Applications 2: Statistical Process Control
This 8 hour class provides an introduction to statistical process control (SPC). Topics covered include historical SPC, passive data collection, sampling plan determination, control limit calculation for continuous and batch processing, and out of control action plans.
Who Should Attend
Engineers, scientists, and technicians who are involved in process control.
Prerequisites
Basics 3: Model Building or equivalent software and statistical knowledge.
Expected Results
After completing this course, participants will be able to:
- perform passive data collection and determine significant sources of variability.
- determine the correct set of control charts for their process.
- calculate the correct control limits on the process.
SST0731 JMP Scripting Language
This 24 hour class provides an introduction to JMP Scripting Language (JSL). Topics covered will be messaging, tables, matrices, functions, graphics, platforms, communication with the user, database access, and interfacing with VBA.
Who Should Attend
Engineers, scientists, and technicians who are JMP "power users" and wish to customize analyses for their own purposes.
Prerequisites
Significant JMP experience.
Expected Results
After completing this course, participants will be able to:
- write, debug, and run JMP scripts