Introductory

• Case Study: JMP062 Monitoring Fish Abundance in the Mesoamerican ReefApply exploratory data analysis in the context of wildlife monitoring and nature conservation.
• Case Study: JMP046 EndangeredExplore statistical evidence demonstrating an association between Saguro size and the amount of flowers it produces.
• Case Study: JMP039 Detergent Cleaning EffectivenessAnalyze the results of an experiment to determine if there is statistical evidence demonstrating an improvement in a new laundry detergent formulation. Explore and describe the affect that multiple factors have on a response, as well as identify conditions with the most and least impact.
• Case Study: JMP038 Performance of Food Manufacturing Process - Part 2Evaluate the performance to specifications of a food manufacturing process using confidence intervals and hypothesis testing.
• Case Study: JMP037 Performance of Food Manufacturing Process - Part 1Evaluate the performance to specifications of a food manufacturing process using graphical analyses and numerical summarizations of the data.
• Case Study: JMP036 Online Mortgage ApplicationEvaluate the potential improvement to the UI design of an online mortgage application process by examining the usability rating from a sample of 50 customers and comparing their performance using the new design vs. a large collection of historic data on customer’s performance with the current design.
• Case Study: JMP034 Durability of Mobile Phone Screen - Part 3Evaluate the durability of mobile phone screens in a drop test across various heights by building individual simple logistic regression models. Use the models to estimate the probability of a screen being damaged across any drop height.
• Case Study: JMP033 Durability of Mobile Phone Screen - Part 2Evaluate the durability of mobile phone screens in a drop test at various drop heights. Determine if a desired level of durability is achieved for each of three types of screens and compare performance.
• Case Study: JMP032 Durability of Mobile Phone Screen - Part 1Evaluate the durability of mobile phone screens in a drop test. Determine if a desired level of durability is achieved for each of two types of screens and compare.
• Case Study: JMP021 Cost LeadershipAssess the effectiveness of a cost leadership strategy in increasing market share, and assess the potential for additional gains in market share under the current strategy.
• Case Study: JMP020 Direct MailEvaluate different regression models to determine if sales at small retail shop are influence by direct mail campaign and using the resulting models to predict sales based upon the amount of marketing.
• Case Study: JMP019 ContributionsPredict year-end contributions in an employee fund-raising drive.
• Case Study: JMP018 Mendel's Law of InheritanceUse the data sets provided to explore Mendel’s Laws of Inheritance for dominant and recessive traits.
• 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: JMP014 Kerrich : Is a Coin Fair?Using outcomes for 10,000 flips of a coin, use descriptive statistics, confidence intervals and hypothesis tests to determine whether the coin is fair.
• Case Study: JMP013 Per Capita IncomeUse data from the World Factbook to explore wealth disparities between different regions of the world and identify those with the highest and lowest wealth.
• Case Study: JMP012 BackgammonDetermine if a backgammon program has been upgraded by comparing the performance of a player against the computer across different time periods.
• Case Study: JMP011 Priority AssessmentDetermine whether a software development project prioritization system was effective in speeding the time to completion for high priority jobs.
• 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.
• Case Study: JMP007 Treatment FacilityDetermine what effect a reengineering effort had on the incidence of behavioral problems and turnover at a treatment facility for teenagers.
• Case Study: JMP006 Price QuotesEvaluate the price quoting process of two different sales associate to determine if there is inconsistency between them to decide if a new more consistent pricing process should be developed.
• Case Study: JMP005 Improving Patient SatisfactionAnalyze patient complaint data at a medical clinic to identify the issues resulting in customer dissatisfaction and determine potential causes of decreased patient volume.
• Case Study: JMP004 Film on the RocksUse survey results from a summer movie series to answer questions regarding customer satisfaction, demographic profiles of patrons, and the use of media outlets in advertising.
• Case Study: JMP003 Defect SamplingExplore the effectiveness of different sampling plans in detecting changes in the occurrence of manufacturing defects.
• Case Study: JMP002 Baggage ComplaintsMarlene Smith explores differences between the airlines, whether complaints are getting better or worse over time, and if there are other factors, such as destinations, seasonal effects or the volume of travelers that might affect baggage performance.
• Case Study: JMP001 Medical MalpracticeExplore claim payment amounts for medical malpractice lawsuits and identify factors that appear to influence the amount of the payment using descriptive statistics and data visualizations.