Foundations of Statistical Decision Making

Hypothesis Testing, ANOVA, and Design and Analysis of Experiments (DOE) for the Manufacturing Professional
4.45 (20 reviews)
Udemy
platform
English
language
Data & Analytics
category
Foundations of Statistical Decision Making
221
students
3.5 hours
content
Oct 2024
last update
$64.99
regular price

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

Screenshots

Foundations of Statistical Decision Making - Screenshot_01Foundations of Statistical Decision Making - Screenshot_02Foundations of Statistical Decision Making - Screenshot_03Foundations of Statistical Decision Making - Screenshot_04
5101010
udemy ID
1/21/2023
course created date
1/27/2023
course indexed date
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