LEARNING ASSISTANCE FOR STUDENTS
LEARNING ASSISTANCE FOR STUDENTS
This tool helps students understand how they can use binary classifiers as a decision tool in various business and public policy settings such as healthcare and retail. By uploading a .csv data file, students can build different logistic regression models, and test alternative ways of operationalizing these models.
[sample data for testing] "Readmit" column indicates if the patient is readmitted after discharge.
Students can use this newsvendor simulator to observe he main trade-offs involved involved while making static capacity decisions under demand uncertainty. Using sliding scales, students can revise model parameters, and observe how their capacity choices perform as demand and cost conditions change.
This tool helps students produce statistical process control (SPC) charts. By uploading a .csv data file, students can quantitataively assess whether their sample data demonstrate excessive variability beyond random fluctuations, which would trigger a search for assignable causes.
[sample data for testing] Observations are amount of liquid (in ml) filled at a bottling plant.
[sample data for testing] Observations are number of absent employees in a samples of 64.