Applied Statistical Methods

Case Study: JMP060* Nonlinear Regression Modeling for Cell Growth OptimizationApply nonlinear models to understand the impact of factors on a cell growth.
Case Study: JMP055 Increasing Bioavailability of a Drug using SMEDDSUse Mixture/formulation design to optimize multiple responses related to bioavailability of a drug.
Case Study: JMP052 Optimization of Microbial Cultivation ProcessUse Design of Experiments (DOE) to optimize the microbial cultivation process.
Case Study: JMP051* Polymerization at Lohmann - Part 2Use Functional Data Analysis to understand the intrinsic structure of the data.
Case Study: JMP050 Polymerization at Lohmann - Part 1 Application of statistical methods to understand the process and enhance its performance through Design of Experiments and regression techniques.
Case Study: JMP049 Manufacturing Excellence at Pharma Company - Part 3Use Design of Experiments (DOE) to advance knowledge about the process.
Case Study: JMP035 Durability of Mobile Phone Screen - Part 4Evaluate the durability of mobile phone screens in a drop test across various heights by building a single multiple logistic regression model. Use the model to estimate the probability of a screen being damaged across any drop height.
Case Study: JMP027 Titanic PassengersUse the passenger data related to the sinking of the RMS Titanic ship to explore some questions of interest about survival rates for the Titanic. For example, were there some key characteristics of the survivors? Were some passenger groups more likely to survive than others? Can we accurately predict survival?
Case Study: JMP026 Lost SalesDetermine whether certain conditions make it more likely that a customer order will be won or lost.
Case Study: JMP025 Bank RevenueA bank wants to understand how customer banking habits contribute to revenues and profitability. Build a model that allows the bank to predict profitability for a given customer. The resulting model will be used to forecast bank revenues and guide the bank in future marketing campaigns.
Case Study: JMP024 Housing PricesAfter determining which factors relate to the selling prices of homes located in and around a ski resort, develop a model to predict housing prices.
Case Study: JMP023 Cell Phone ServiceDetermine whether wind speed and barometric pressure are related to phone call performance (percentage of dropped or failed calls) and use the resulting model to predict the percentage of bad calls based upon the weather conditions.
Case Study: JMP017 Smoking and Lung CancerUse the results of a retrospective study to determine if there is a positive association between smoking and lung cancer, and estimate the risk of lung cancer for smokers relative to non-smokers.
Case Study: JMP016 Salk VaccineUsing data from a 1950’s study, determine whether the polio vaccine was effective in a cohort study, and, if it was, quantify the degree of effectiveness.
Case Study: JMP015 Lister and Germ TheoryUse results from a 1860’s sterilization study to determine if there is evidence that the sterilization process reduces deaths when amputations are performed.
Case Study: JMP010 Subliminal MessagesDetermine whether subliminal messages were effective in increasing math test scores, and if so, by how much.
Case Study: JMP009 Fish StoryUse the DASL Fish Prices data to investigate whether there is evidence that overfishing occurred from 1970 to 1980.
Case Study: JMP008 SiblingsUse data from a survey of students to perform exploratory data analysis and to evaluate the performance of different approaches to a statistical analysis.

* This case study requires JMP Pro or JMP Student Edition.