| 1 - 1a Introduction to Design of Experiments.mp4 | 117.5 MB | ||
| 10 - 1j Two Factors Two Levels with Interaction.mp4 | 61 MB | ||
| 11 - 1k Regression Equation for for 2x2 Experiment with Interaction.mp4 | 64.1 MB | ||
| 12 - 1l Minitab Demo 2x2 Experiment with Interactions.mp4 | 42.6 MB | ||
| 13 - 1m Catapult Experiment with 2 Factors.mp4 | 124.8 MB | ||
| 14 - 1n Noise Factors Three Types.mp4 | 66.6 MB | ||
| 15 - 1o Blocking.mp4 | 40.2 MB | ||
| 16 - 1p Analysis of Covariance.mp4 | 14.2 MB | ||
| 17 - 1q Replication and Repetition.mp4 | 50.2 MB | ||
| 18 - 1r Catapult Experiment with 2 Replications.mp4 | 87.4 MB | ||
| 19 - 1s Minitab Demo Catapult Experiment with 2 Replications.mp4 | 49.8 MB | ||
| 2 - 1b Dependent and Independent Variables.mp4 | 26.7 MB | ||
| 20 - 1t Adding the Third Factor.mp4 | 53.8 MB | ||
| 21 - 1u Three Factors Regression Equation.mp4 | 35 MB | ||
| 22 - 1v Results of Three Factors Experiment.mp4 | 38.6 MB | ||
| 23 - 1w Minitab Demo Three Factors Experiment.mp4 | 49.7 MB | ||
| 24 - 1x Three Factors Experiment with Center Point.mp4 | 119.1 MB | ||
| 25 - 1y Minitab Demo Experiment with Center Point.mp4 | 85.4 MB | ||
| 26 - 1z Partial Factorial Design Introduction.mp4 | 53.1 MB | ||
| 27 - 1z1 Confounding in Partial Factorial Design.mp4 | 57 MB | ||
| 28 - 1z2 Design Resolution.mp4 | 104.9 MB | ||
| 29 - 2a ANOVA.mp4 | 78.2 MB | ||
| 3 - 1c Purpose of DoE.mp4 | 52.7 MB | ||
| 30 - 2b Regression Getting Started.mp4 | 72.2 MB | ||
| 31 - 2c Assumptions in Regression.mp4 | 46.1 MB | ||
| 32 - 2d Comparing Models.mp4 | 64.8 MB | ||
| 33 - 2e R Square Predicted.mp4 | 39.1 MB | ||
| 34 - 2f Model Simplification.mp4 | 67 MB | ||
| 35 - 3a Screening Designs.mp4 | 85.8 MB | ||
| 36 - 3b Plackett Burman Design Demonstration.mp4 | 37.8 MB | ||
| 37 - 4a Types of Factorial Designs.mp4 | 44 MB | ||
| 38 - 4b Split Plot Design.mp4 | 42.3 MB | ||
| 39 - 4c Minitab Demo Split Plot Design.mp4 | 65.5 MB | ||
| 4 - 1d Stages of DoE.mp4 | 47.9 MB | ||
| 40 - 4d Catapult Full Factorial Design.mp4 | 39.5 MB | ||
| 41 - 4e Minitab Demo Catapult Full Factorial Design Part 1.mp4 | 43.1 MB | ||
| 42 - 4f Minitab Demo Catapult Full Factorial Design Part 2.mp4 | 89.8 MB | ||
| 5 - 1e Factor Level and Treatment.mp4 | 62.2 MB | ||
| 6 - 1f Two Factors Two Levels Experiment.mp4 | 51.5 MB | ||
| 7 - 1g Plots for Two Factors Two Levels Experiment.mp4 | 48.8 MB | ||
| 8 - 1h Regression Equation for Two Factors Two Levels Experiment.mp4 | 43.4 MB | ||
| 9 - 1i Minitab Demonstration Two Factors Two Levels Experiment.mp4 | 58.1 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 44 total files | |||
Design Of Experiments (Doe) With Minitab
https://TutPig.com
Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.46 GB | Duration: 4h 40m
DoE Using Minitab: From Basics to Plackett-Burman, Full/Fractional Factorial, Response Surface (CCD) Designs
What you'll learn
Fundamentals of the Design of Experiments (DoE) using simple to understand examples.
Screening (Plackett-Burman), Modelling (Full, Fractional Factorial and Split Plot Designs) and Optimizing (Central Composite Design) Designs
A quick refresher on ANOVA and Regression Analysis is also included to help you understand the results of analysis clearly.
Clear understanding of Blocking, Analysis of Covariance, Replication, Confounding and Design Resolutions.
Requirements
Basic understanding of statistics is preferred, however we will cover the concepts required to understand DoE and interpret the alaysis results.
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