Estimated probability models that help target consumers to build brand loyalty
Developing an unbiased probability model that deems profitable to a mobile app creator in terms of identifying right customers who would install the app while minimizing advertising costs
Coursework, SAS code, and notes for STAT 52500: Intermediate Statistical Methodology (Fall 2025, Purdue University). Topics include simple and multiple linear regression, ANOVA, parameter estimation, hypothesis testing, confidence intervals, diagnostics, and model selection using SAS.
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