2007, Advertising and Data mining

Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

DECEMBER 28, 2021

Misleading statistics refers to the misuse of numerical data either intentionally or by error. Misuse of statistics often happens in advertisements, politics, news, media, and others. While certain topics listed here are likely to stir emotion depending on one’s point of view, their inclusion is for data demonstration purposes only.

Statistics

Statistics Advertising Visualization Data mining

Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

For example in ads, experiments using cookies (users) as experimental units are not suited to capture the impact of a treatment on advertisers or publishers nor their reaction to it. Henne, Dan Sommerfield, Overall Evaluation Criterion , Proceedings 13th Conference on Knowledge Discovery and Data Mining, 2007.

Modeling

Modeling Experimentation Knowledge Discovery Testing

Data Leaders Brief

Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

Experiment design and modeling for long-term studies in ads

Webinars

Stay Connected