How Duolingo Plans to Reach 100M Users

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Codecademy

Hypothesis Testing: Experimental Design

via Codecademy

Go to class Write review
Coursera Ad

AI, Data Science & Cloud Certificates from Google, IBM & Meta

Learn More → Corporate Finance Institute Ad

Build the Finance Skills That Lead to Promotions — Not Just Certificates

Learn More →

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Designing experiments is at the core of hypothesis testing, and a well designed experiment can result in invaluable data. Learn how to choose an appropriate hypothesis test, use a sample size calculator, and make decisions about how to prioritize time and budget constraints.

Syllabus

  • Experimental Design: Learn to design an experiment to make a decision using a hypothesis test.
    • Article: How to Choose a Hypothesis Test
    • Lesson: A/B Testing: Sample Size Calculators
    • Lesson: Sample Size Determination with Simulation
    • Quiz: Sample Size Determination
    • Project: A/B Testing at Nosh Mish Mosh
    • Informational: Next Steps

Taught by

Kenny Lin

Reviews

4.5 rating at Codecademy based on 17 ratings

Start your review of Hypothesis Testing: Experimental Design

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.