For statisticians, traditional methods such as data mining, hypothesis testing, and inference have long been the backbone of analysis. These approaches remain powerful, but new tools—especially natural language processing and generative AI—make it easier to uncover insights, automate text-heavy tasks, and support decision-making at scale.
hypothesis testing
Statistician’s View: A Follow-Up to Gang Xie’s Practicing Statistician’s Plea
Jonathan Shuster offers a commendation and response to Professor Gang Xie for his editorial, “A Practicing Statistician’s Plea.”
Communicate Statistics, Engage Students with Personal Experiences
Jaya Satagopan uses agriculture data on corn yield, the motor trend car road tests data set, and the New York transportation fuels data from Kaggle to motivate students to learn about types of variables, statistical summaries, data visualization, and hypothesis testing.
August Potpourri: Agent-Based Models, Tournaments, Statistical Ethics
The August 2021 issue of The American Statistician is available online and features 13 articles across different sections of the journal. One of the benefits of ASA membership is free access to online issues of TAS.
Tech Leaders Discuss Working in Industry
We asked leaders in industry to answer a few questions to help students and statistics departments better prepare for jobs in the technology industry.