Foundations of Statistical Decision Making
Hypothesis Testing, ANOVA, and Design and Analysis of Experiments (DOE) for the Manufacturing Professional
4.40 (21 reviews)
226
students
3.5 hours
content
Apr 2025
last update
$64.99
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What you will learn
How to conduct experiments and analyze the resulting data to help make better technical decisions about equipment, processes and measurement systems
An intermediate-level statistical tool kit aimed at the manufacturing professional
Practical examples and case studies from a manufacturing setting
Hypothesis Testing - What is it and How to apply it?
T tests, Z tests - With examples in Microsoft Excel
Design and Analysis of Experiments (DOE)
DOE terminology and techniques
ANOVA, One and Two Factor - Also with examples in Microsoft Excel
Full Factorial Experiments
Fractional Factorial Experiments
Taguchi Experimental Methods
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5101010
udemy ID
21/01/2023
course created date
27/01/2023
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