Optimization Statistics

 

Statistics are the cornerstone of every metric in business. Understanding how they're accumulated and how they work, even when you have an engine that does it for you, equips you with knowledge that can inform the way you build experiments. A basic understanding of how statistics are calculated and where they're drawn from will help you build more effective experiments and more realistically estimate how long it will take to see results.

In this course, you'll learn how to answer the following questions:

  1. What is statistical significance and how does Optimizely guarantee results?
  2. What do I need to know about the stats engine?

New Courses

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Analysis in Program Management

In this course, you'll learn how to use Program Management to more effectively analyze the results of your experiments and iterate out into new experiment ideas.

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Team Functionality

In this course, you will learn how to set up and manage your team in Program Management.

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Selecting and Prioritizing Experiments in Program Management

In this course, you'll learn how to use Optimizely's Program Management to help you with ideation and planning for your experiments.

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Using the Optimizely X Full Stack product

In this course, you will learn how to create an experiment, feature flags and feature rollouts using the Optimizely X Full Stack product.