Live Event: Hypothesis Testing for Survey Data—Chi-Square, T-Test, and Z-Test Explained
February 26 @ 3:00 pm - 4:00 pm EST
Sign-up for this event is required. Sign Up Here.
Format: How-to.
Level: 2—For those with basic market research knowledge, typically 2-5 years in the field.
Topic: This session offers a clear, friendly refresher on core hypothesis tests for survey data so researchers can interpret results with confidence in client-facing work. Participants learn when and how to use chi-square, t-tests, and z-tests, with plain-language examples from consumer insights and CX research.
Learning Objectives:
- Identify which test (chi-square, t-test, or z-test) fits common survey questions about differences and relationships.
- Interpret p-values, significance, and basic test outputs so results can be explained to non-technical stakeholders.
Instructor: Julie Worwa