Are you new to teaching with JMP Student Edition statistics software? This webinar covers everything you should know to start teaching with the software effectively. Topics include: A review of JMP Student Edition’s extensive capabilities.How you and your students can get JMP Student Edition at no cost.Navigating the interface.Importing data, saving and exporting results.Resources for learning how...
JMP Student Edition is a professional statistics environment rather than a simplified teaching tool. In practice, this breadth is a strength — so long as students receive proper guidance. This webinar presents practical strategies that instructors can use to help students succeed in JMP from day one. Topics include: The supportive baseline provided by the standard JMP Student Edition interface.Tip...
Much of modern statistics education teaches data analysis not as a collection of disparate methods and formulas, but as an investigative process that provides a foundation for effective decision-making. Exploratory data analysis (EDA) is a core component of this approach, and JMP Student Edition’s visual, interactive interface allows students to seamlessly explore data to hone investigative skills...
JMP Student Edition has extensive regression and ANOVA capabilities implemented in an interactive, visual interface. This webinar shows you how to use JMP Student Edition to teach foundational regression and ANOVA techniques that are covered in most courses of study in statistics, science, and engineering. Topics include: Two-sample t-test.One-way ANOVA and post-hoc tests.Simple regression.Relevan...
JMP Student Edition has extensive regression and ANOVA capabilities implemented in an interactive, visual interface. This webinar shows you how to use JMP Student Edition to teach intermediate regression and ANOVA techniques that are covered in most courses of study in statistics, science, and engineering. Topics include: Factorial ANOVA and post-hoc tests.Multiple regression with continuous and c...
JMP Student Edition provides state-of-the-art design of experiments capabilities, including classical, algorithmic, and many specialized designs, as well as interactive tools for analysis of DOE data. This webinar shows you how to teach classical design of experiments techniques with JMP Student Edition. Topics include: Classical screening designs (e.g., fractional factorial).Classical response su...
JMP Student Edition provides state-of-the-art design of experiments capabilities, including classical, algorithmic, and many specialized designs, as well as interactive tools for analysis of DOE data. This webinar shows you how to use JMP Student Edition to teach modern algorithmic techniques for design of experiments. Topics include: Optimal designs for factor screening and response surface exper...
Sample size is a major consideration when designing experiments or other research studies, and JMP Student Edition has a suite of interactive tools for calculating sample size and power. This webinar shows you how to use JMP Student Edition to teach foundational power analysis techniques taught in design of experiments and research methods courses. Topics include: Power analysis for one- and two-s...
JMP Student Edition 19 is available now and is packed with exciting new features. This webinar reviews a selection of new features relevant to instructors and researchers, from interface improvements to entirely new analysis platforms, including: Data table enhancementsGraph Builder improvementsJMP Notebook interface for coding with JSL and PythonBayesian optimizationPropensity score methods fo...
Special Guest Presenter:
Prof. Nathan Coates
Faculty Director, Master of Science in Business Analytics and AI
Villanova University
The predictive power of machine learning models depends on hyper-parameter tuning. Years of university machine learning exercises have led Prof. Nathan Coates of Villanova University to develop a method for adjusting hyper-parameters, called Tune and Zoom, that has hel...
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 guides you in using JMP Student Edition to teach time seri...
After mastering simple and multiple regression, students can build skills in advanced regression techniques for situations that standard least squares can't readily handle. This webinar, intended for statistics instructors, guides you in using JMP Student Edition to teach a selection of advanced regression techniques for performing model selection, avoiding overfitting, and handling non-normal ...
If you teach with JMP Student Edition, you should be aware of some lesser known features that can help you use the software more effectively with your students. Want to customize the statistical outputs that your students see? Need a better way of sharing JMP files and analyses with the class? This webinar presents tips and tricks for these and other needs that instructors commonly face. Topics...
JMP Student Edition is a full-featured version of JMP statistical software available to faculty, students, and academic researchers at no-cost. If you are looking for statistical software to use in your course, or if you plan to teach with JMP Student Edition and need an overview of the software, then this webinar is for you. Topics include: Why teach with JMP Student Edition?How to access JMP ...
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 second in a two-part series, will review several JMP teaching resources and how to use them effectively, including: Interactive applets for teaching concepts such as sampling distributions and confidence intervals.Statistical calcula...
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...
Structural equation modeling (SEM) is a general-purpose modeling framework that is useful for testing theories about complex interrelationships between variables, both observed and latent. For example, SEM could be applied to employee survey data to test competing theories about how motivation, stress, leadership, compensation, and job satisfaction influence one another. While traditionally ap...
In analyzing data from quantitative studies, researchers often run into a common statistical challenge: The observations aren’t independent from one another. For example, if an ecology study is conducted across multiple geographic locations, observations may not be independent due to uncontrolled environmental factors that differed across locations. Or if a survey study involves repeatedly sur...
If there’s one caveat that most of us remember about least squares regression, it’s this: Regression assumes normality. More specifically, least squares regression assumes that the distribution of Y given X is normal, or equivalently, that the distribution of residuals is normal. But what if our data violate this assumption (e.g., our response distribution is highly skewed or consists of only ...
With the JMP Student Edition, academic researchers get no-cost access to all JMP Pro capabilities, such as Python integration and more advanced tools for building machine learning models. This webinar will demonstrate advanced analytical applications for researchers in Chemistry, Chemical Engineering, Materials Science, and related fields by enhancing JMP Student Edition’s native features with...
In biostatistics, survival analysis is a collection of statistical methods for analyzing the time it takes for some event of interest to occur (i.e., time-to-event data). For example, a study of disease progression might assess time to patient mortality or recovery. Survival analysis helps researchers understand how the probability of a biological or medical event changes over time and how that...
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 ...
Get JMP software free for academic use at jmp.com/student Predictive modeling encompasses a range of techniques for using historical data to predict future outcomes, and it has applications in nearly all quantitative disciplines. The JMP Student Edition has robust predictive modeling capabilities, including a range of algorithms for classification and regression, automated model cross-valida...
Get JMP software free for academic use at jmp.com/student Data analytics courses are a core part of curricula in business, marketing, information systems, and related fields. These courses frequently cover a range of data analysis techniques, from basic data visualization and analysis through advanced methods that can include machine learning, time series forecasting, or text mining, to name...
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 ...