Learn JMP

Design of Experiments

• Teaching Time Series Analysis and Forecasting

  REGISTER HERE   Teaching time series analysis and forecasting involves establishing foundational concepts, such as stationarity and autocorrelation, as well as teaching one or more specific analysis techniques. JMP Student Edition’s interactive time series tools can help you make these concepts and techniques more approachable to students. This webinar will guide you in using JMP Student Edition t...

  Ross_Metusalem

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  Wednesday, November 5, 2025
  Nov 5

• Developer Tutorial: New Capability to Simulate DOE Responses

  This session is for JMP users who want to effectively create high-quality designed experiments.   A key benefit of simulating the response when designing your experiment is that you can be confident that the data will support your modeling and testing goals before conducting actual experiments. Most JMP DOE options allow users to manually enter coefficients in the existing Simulate Responses tool....

  gail_massari

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  Friday, November 14, 2025
  Nov 14

• Using JMP's Teaching and Learning Resources, Part 1

    If you teach with JMP Student Edition, don’t miss JMP’s wide range of freely available teaching resources that you can use to enrich your course. This webinar, the first of a two-part series, reviews several JMP teaching resources and how to use them effectively, including: The Learning Library: A collection of quick video tutorials and one-page guides that teach students how to use JMP (so you...

  Ross_Metusalem

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  Tuesday, November 18, 2025
  Nov 18

• DOE Club Q4 2025

  This Club is is a participant-driven meeting designed to encourage attendee involvement and knowledge sharing. Join us for these lightly structured discussions to share your ideas and learn more about Design of Experiments (DOE). What can you expect? Quarterly meetingsLightly structured discussions about design of experiments in JMP.Experts and novices are welcome. Be ready to share and ready to l...

  maria_astals

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  Tuesday, November 25, 2025
  Nov 25

• Jump into DOE

  Jump into DOE Date:  Wednesday, December 10
  Time: 1:00 – 2:30 p.m. ET
  Duration: 90 minutes
  Registration: FREE   Hosted via Zoom   This workshop is designed for intermediate to advanced JMP users who are familiar with basic statistical modeling (ANOVA and regression) and are interested in learning about design of experiments (DOE) in JMP. Attendees gain a deeper understanding of DOE through demonstrat...

  KirstenCrannell

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  Wednesday, December 10, 2025
  Dec 10

• Monte Carlo Simulation

  The JMP Profiler, with the Monte Carlo Simulator, can be used to optimize process performance in the presence of random variation. This enables you to estimate response distributions as a function of real-world random variation. Monte Carlo simulation is available from JMP Prediction Profilers using the Simulate red triangle option. Example Setup                                                   ...

  gail_massari

  Learning Library |

  Aug 22, 2025 4:01 PM

  110 views | 0 replies

• Evaluate and Compare Designs

  Use the Evaluate Design platform to assess the properties of an experimental design. To compare alternative designs, use the platform Compare Designs. Evaluate Design Most DOE platforms in JMP provide an Evaluate Design outline to assess a design before making the design table to run the experiment. The platform Evaluate Design shows the same diagnostics for any existing design, and can also be u...

  gail_massari

  Learning Library |

  Aug 22, 2025 3:57 PM

  118 views | 0 replies

• DOE - Custom Designs

  This guide provides instructions on designing optimal experiments using the flexible Custom Design platform. The Custom Designer can be used for almost any experimental situation, including factor screening, optimization, and mixture problems, and can accommodate designs with hard-to-change factors and other constraints. DOE: Generating A Custom Design Select DOE > Custom Design.Under Responses, ...

  gail_massari

  Learning Library |

  Aug 22, 2025 3:50 PM

  157 views | 0 replies

• DOE Screening Experiment Analysis

  This guide provides instructions on analyzing screening experiments (e.g., fractional factorial) using the Fit Two Level Screening platform. Though the Fit Model platform can also be used, the Fit Two Level Screening platform produces graphs and analysis results designed for identifying the important effects in a fully saturated experiment. This example is a 20 run 2^5 screening experiment generat...

  gail_massari

  Learning Library |

  Aug 22, 2025 3:48 PM

  132 views | 0 replies

• DOE Fractional Factorial Design

  This guide provides instructions on designing a fractional factorial experiment using the Screening Design platform. Fractional factorial experiments are used when it's more efficient to not perform an experimental run for every possible treatment combination as is done in a full factorial design.   Create the Design (Screening Design) Open the platform under DOE > Classical > Two Level Screening...

  gail_massari

  Learning Library |

  Aug 22, 2025 3:37 PM

  101 views | 0 replies

• DOE Full Factorial Analysis

  This guide provides information on analyzing a full factorial experiment (experiments where every possible treatment combination is run). For instructions on designing of full factorial experiments, see the DOE Full Factorial Design guide. Specify the Model and Analyze From an open JMP^® table (for a completed full factorial experiment) select Analyze > Fit Model.
  Note: The Fit Model platform can a...

  gail_massari

  Learning Library |

  Aug 22, 2025 3:31 PM

  95 views | 0 replies

• DOE Full Factorial Design

  This guide provides instructions on designing a full factorial experiment. A full factorial experiment in where every possible treatment combination will be studied. For analysis of full factorial experiments, see the DOE Full Factorial Analysis guide. Create the Design (Full Factorial Design) Open the platform under DOE > Classical > Full Factorial Design.Specify the Response(s): Double-click on...

  gail_massari

  Learning Library |

  Aug 22, 2025 3:27 PM

  102 views | 0 replies

• Collecting Data

  This Analysis Guide provides a list of potential questions that one might consider when trying to determine how much data to collect. For example – in designing an experiment. There are many statistical techniques useful in addressing these questions which are listed in the second column. The JMP® platforms that provide access to those statistical techniques along with One Page Step-by-Step Guides...

  gail_massari

  Learning Library |

  Jul 30, 2025 9:47 AM

  73 views | 0 replies

• JMPによる測定システム分析（MSA）（日本語）

  測定システム分析（MSA）について、考え方や概念とともに、JMPでの操作方法、結果の見方などを解説したセミナーです。ゲージR&RやEMP分析、測定システム計画分析、バイアスと直線性などについて、JMPのデモとともに紹介しています。   ※本セミナーは、動画作成時点での最新バージョン「JMP 18.2.1」を使用しています。 ※プレゼン資料（Power Point）、Part 4で使用したデータは、本ページからダウンロードできます。   目次 Part 1. イントロダクション Part 2. 測定システム分析：ゲージR&Rにおける交差モデルと枝分かれモデル Part 3. EMP分析 Part 4. 実施例：測定システム分析計画から分析まで Part 5. バイアスと直線性   Part 1. イントロダクション（7分0秒） とりあえずゲージR&Rを実施してみるこの後のパートで説明すること...

  Masukawa_Nao

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  Monday, June 23, 2025

• JMP for Teaching Statistics in Semiconductor Engineering Education

      Get JMP software free for academic use at jmp.com/student   Semiconductor engineering is a data intensive process. Engineers need to visualize and analyze vast amounts of data to improve yield, identify and rectify drifts or failures, monitor process health, and more. JMP statistical software, used widely in the semiconductor industry, is a strong tool for teaching students in semiconductor ...

  Ross_Metusalem

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  Thursday, April 17, 2025

• Deploying Design of Experiments for Hardware Design and Validation Success - Mastering JMP

  Video was recorded in March 2025 using JMP 18.   Are you looking for ways to determine an effective way to trade off power and speed to find a sweet spot for your semiconductor chip design? Are you an engineer responsible for designing or doing validation testing to assure that your hardware solutions satisfy the requirements or your customers? Do you seek efficient ways to predict the behavior of...

  gail_massari

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  Friday, March 14, 2025

• JMP for Teaching Statistics in Chemistry and Chemical Engineering

    Get JMP software free for academic use at jmp.com/student   The American Chemical Society’s guidelines on undergraduate chemistry education recommend that students learn to “analyze data with appropriate statistical methods and software.” JMP statistical software, used widely in the chemical industry, can help students master statistical methods through a no-code, graph-first interface.   This ...

  Ross_Metusalem

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  Thursday, March 6, 2025

• Characterizing and Comparing Dissolution Profiles for New Drug Formulations - Mastering JMP

  Video was recorded in February 2025 using JMP 18.   Do you need to formulate drug products to match a specific dissolution profile?   Do you need to re-formulate or validate that changes in raw material suppliers do not change a drug's dissolution profile? Do you develop dissolution methods for product release?   In this session, we will: Compare a new formulation's dissolution profile to an exist...

  gail_massari

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  Friday, February 21, 2025

• Designing Process Optimization Experiments Using Models Based on Production Data - Mastering JMP

  Video was recorded in January 2025 using JMP 18.   Do you have historical or real time production data? Have you wondered how to leverage these data to design high value, efficient, cost-effective experiments?   In this session, we will use the following steps to find an optimal process recipe for a plasma enhanced chemical vapor deposition (PECVD) tool that is used to deposit an insulative layer ...

  gail_massari

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  Friday, January 24, 2025

• Academic Webinar – Teaching Design of Experiments

    Get JMP software free for academic use at jmp.com/student   Design of experiments (DOE) is used extensively in industry to understand cause and effect in complex systems, making DOE a critical skill for the modern science or engineering student. JMP's world-class suite of DOE tools is used extensively in industry, and JMP's visual, no-code interface makes its DOE tools great for teaching, too. ...

  Ross_Metusalem

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  Wednesday, December 4, 2024

• Academic Webinar – Designing and Analyzing Experiments, Pt. 2: Advanced Topics

    Get JMP software free for academic use at jmp.com/student   Following on the previous webinar, Designing and Analyzing Experiments, Pt. 1: An Introduction, this webinar introduces a selection of intermediate and advanced concepts and techniques in the design of experiments (DOE) and how to apply them in JMP. Topics include:   Statistically optimal designs that are custom-built to unique experim...

  Ross_Metusalem

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  Tuesday, July 16, 2024

• Academic Webinar – Designing and Analyzing Experiments, Pt. 1: An Introduction

    Get JMP software free for academic use at jmp.com/student   Design of experiments (DOE) is a foundational statistical skill in science and engineering. Using DOE, researchers can develop efficient plans for collecting data to reveal causal relationships between factors and responses. This webinar, intended for those with little-to-no DOE background, introduces fundamental DOE techniques and how...

  Ross_Metusalem

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  Tuesday, July 2, 2024

• 半導体業界で役立つ！ 統計解析ソフトウェア「JMP」の機能と活用例

  半導体業界（素材、製造装置も含む）では、研究開発、品質・信頼性管理、製造、検査の各フェーズで活用できるJMPの機能があります。本動画では、JMPの概要や半導体業界での利用事例を紹介し、データ解析および統計解析におけるJMPの機能とその活用例についてデモンストレーションを交えて紹介します。最後にJMPを活用するためのリソースも紹介しています。半導体業界向けの事例の紹介、データ例になっていますが、製造業（電子部品、自動車、半導体以外の素材など）の研究、品質管理、製造などに従事されている方でも役立つ内容になっています。     ※本動画、資料は、製作時点（2024年6月）での最新バージョン「JMP（JMP Pro）18.0.1」を用いています。 ※このページから、セミナーで使用した資料（pdf）をダウンロードできます。   目次 はじめに. JMPの概要と半導体業界での利用トピック1: 多数の...

  Ryan_Gilmore

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  Monday, June 17, 2024

• 「JMP 18」 業務で役立つ新機能 　～分析、グラフ編（日本語）～

  本ページでは、2024年4月にリリースした最新バージョン「JMP 18」の新機能を動画にて紹介します。   分析、グラフ、実験計画法に対する新機能、Pythonインテグレーション、ヘルプメニューの改良について、項目ごとにショート動画としてまとめています。目次から興味がある項目を選択して動画をご覧ください。   目次 分析、グラフ1. 「グラフビルダー」のアップデート　（7分5秒）2. 「モデルのあてはめ」のアップデート　（4分27秒）3. 「曲線のあてはめ」のアップデート　（6分1秒）4. PR曲線　（6分57秒）5. Cohenのd統計量　（3分12秒）6. 同等性の検定のアップデート（3分31秒）7. Jonckheere-Tepstra検定（3分6秒）8. 片側Dunnett検定（1分52秒）9. Friedman順位検定の多重比較（2分3秒）10. 短期操業管理図（4分50秒）11...

  Ryan_Gilmore

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  Sunday, June 2, 2024

• JMP Academic Webinar - Designing Quantitative Research Studies

    Get JMP software free for academic use at jmp.com/student   Designing research studies involves important statistical considerations regarding study structure, sample size, accounting for covariates, and more. In this webinar, we demonstrate several methods useful in research study design: determining the amount of data to collect, designing multifactor experiments, and sequential experimen...

  Ross_Metusalem

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  Wednesday, July 26, 2023