Die Grundidee der statistischen Versuchsplanung umsetzen können Randomisierung, Wiederholung und Blockbildung richtig einsetzen Multiple faktorielle Versuchspläne und teilfaktorielle Screening Pläne erstellen und analysieren Screening-Designs zur Bestimmung der wenigen wichtigen Faktoren aufstellen Response Surface - Pläne zur Optimierung und Darstellung der Wirkungsfläche verwenden Benutzerdefinierte Versuchspläne richtig einsetzen
JMP - Design of Experiments
Product information "JMP - Design of Experiments"
Course: Classical Experimental Design with JMP
In this two-day course, you will learn the classical methods of statistical experimental design. The goal of experimental design is to efficiently answer experimental questions with a minimal number of trials. You will learn how to use factorial and fractional designs to identify relevant factors and determine the best experimental conditions.
Course Content:
📊 Fundamentals of statistical experimental design – Concepts and methods for efficiently designing experiments
📊 Randomization, replication, and blocking – Proper application of these techniques in experiments
📊 Full-factorial and fractional designs – Creation and analysis of screening plans to identify relevant factors
📊 Screening designs – Determining the most important factors influencing the results
📊 Response surface designs – Optimizing and visualizing the effect surfaces for modeling complex relationships
📊 Custom experimental designs – Adapting experimental designs to specific requirements and questions
Prerequisites:
📌 Knowledge of using JMP
📌 Basic understanding of statistical hypothesis testing, ANOVA, and regression
📌 The necessary content can be acquired in the courses "Exploratory Data Analysis with JMP" and "ANOVA and Regression with JMP"
🕒 Course Duration: 2 days
🔹 Sign up now and learn how to maximize the success of your experiments with statistical experimental design!
Details
Teilnehmer sollten vertraut mit der Bedienung von JMP sein, sowie ein grundlegenden Verständnis von statistischen Hypothesentests, ANOVA und Regression haben. Die notwendigen Inhalte können Sie in den Kursen Explorative Datenanalyse mit JMP sowie ANOVA und Regression mit JMP erlernen.