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Meetup: Introduction to Online Experimentation and A/B Testing

August 29 @ 6:30 pm - 8:30 pm

What we’ll do:

Understanding A/B testing, requires some very basic understanding (and intuition) of Statistics at 101 level. To keep the tutorial self-contained, I will first give an overview of stats fundamentals needed to understand A/B testing. Next, I will explain how A/B testing is done in an online business. In the end, I will mention some of the pitfalls that are common when running online experiments.

This tutorial will roughly be divided into these parts:

• Introducing A/B testing.

• The motivation for running an A/B test. Some examples of how A/B test results are often counter-intuitive. Obama for America campaign and other examples. Multivariate testing

• Statistics fundamentals for hypothesis testing: Null and alternate hypothesis, Factors and levels, confidence intervals, p-values, t-test, sample size, power, Type I and Type II error.

• Art of interpreting metrics: Short-term, medium-term and long-term metrics.

• Common fallacies and pitfalls

6:00 – 6:30 Grab some pizza and socialize
6:30 – 7:45 Presentation
7:45 – 8:00 Questions & Answers

When you attend this Meetup, you enter an area where photography, audio, and video recording may occur. By attending this event, you consent to photography, audio recording, video recording and its/their release, publication, exhibition, or reproduction to be used for promotional purposes, advertising, inclusion on websites, social media, or any other purpose by Data Science Dojo (DSD) and its affiliates and representatives.


August 29
6:30 pm - 8:30 pm


Ivey Tangerine Leadership Centre
130 King St W, Toronto, ON M5X 1K6, Canada
Toronto, ON M5X 1K6 Canada
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