You can see the 2020 webinar on Equivalence Methods from Jim Wisnowski here.

Abstract: Standard hypothesis tests are set up to prove differences from a standard or between populations. The goal in many applications is to demonstrate with statistical confidence that in fact there is no difference. Common examples include performance between model & simulation results versus live events, generic versus brand drug safety and efficacy, material engineering properties between different treatments, and many other practical problems. While a Test of Equivalence that uses the Two One-Sided Tests (TOST) is useful, in practice we often require more than equal means to properly characterize the similarity. We will demonstrate methods to help establish equivalence in means, variances, and distributions as an introduction. The focus will be on the equality between models; that is, not only the output responses being approximately equal, but also the consistency in the parameters characterizing the process.

Webinar Goals:

• Understand why failing to reject a one or two sample t-test null hypothesis does not constitute adequate proof
• Evaluate equivalence with TOST
• Evaluate equivalence for distributions and variance
• Know how to test if regression coefficients are equivalent
• Understand how two determine if two or more curves are equivalent with functional data analysis

View Andrew Karl’s 2020 hour-long webinar pointing out useful information for new and experienced JMP scripters here

Abstract: MP Software® by SAS is a powerful data exploration and analysis software package used by scientists, engineers, and business analyst world-wide. In addition, JMP Software® has a scripting language that allows users to easily automate routine analyses and presentations. This seminar is for beginning users that want to learn how to start using JSL. Additionally, the webinar will present more complex scripts to demonstrate the utility of JSL.

Webinar Goals:

• understand the utility of developing scripts
• learn how to develop basic scripts using the JMP scripting language (JSL)
• learn how to combine scripts for more complex analyses

https://community.jmp.com/t5/Discovery-Summit-2018/Exploring-Fundamentals-of-Acceptance-Sampling-and-Control-Chart/ta-p/73715

Adsurgo’s Heath Rushing and Andrew Karl were recorded in their talk at JMP Discovery Summit 2018 about using the software to effectively visualize, explore, and model acceptance sampling and quality control applications in JMP. See the video here.

Here’s the abstract:

Recently, a medical device customer wanted a script to evaluate different, standard acceptance sampling plans using operating characteristic (OC) curves. They also wanted to find the limit from an average outgoing quality (AOQ) curve for rectifying inspections. Although they were experienced JMP users, they did not know about the availability of single- and double-sample OC curves found only in the JMP Starter menu. Furthermore, they had not utilized Graph Builder for evaluating common deviations (nothing goes as planned) from these sampling plans or for developing AOQ curves. Although scripting can be quite effective and efficient, writing scripts from scratch can be overwhelming for new JMP users. However, the existing capabilities of JMP can be exploited and easily adapted for routine and/or recurring analysis of common quality questions. This talk with demonstrate the adaptation of the existing capabilities of JMP to explore and evaluate deviations from standard quality approaches such as acceptance sampling, process control and capability, and design of experiments.