Session: Practical Statistics for Running Experiments
This talk will cover several statistical rules of thumb that you can use in everyday work and life. We will cover how to do statistics when you only have a small sample size, how to interpret ratings with confidence, and estimate the chance of something that hasn’t happened yet. The workshop is suitable for both technical and non-technical audiences who are curious about data driven decision making.
- The audience will learn: 1) What the minimum number of samples are needed so that you can be confident in the results of an experiment
- 2) A few rules of thumb that can be used for work as well as life, e.g. how many ratings do you need to trust a seller on Amazon
- 3) How long will it take to double the number of users in a new product
Annie Guo is an Applied Scientist at Yelp who believes in the power of statistics. At work she uses statistical experiments and machine learning to decide the best pricing for ad auctions and detect identity fraud and suspicious transactions in financial markets. Prior to Yelp, Annie was a senior data scientist at Onfido and an associate at Goldman Sachs. Annie has a MSc in Data Science from Birkbeck, University of London and BA from St. John’s College in the United States. In her spare time, Annie teaches programming to women who want to make a career change and participates in data hackathons to help charities make data driven decisions.