x

Register Now to Beegin Your Journey!

Register Now For Free to Beegin Your Journey!

Register Now to Beegin Your Journey!Register for free
Back to index

Skewed Distribution

What is Skewed Distribution?

A skewed distribution is characterized by its lack of symmetry around its center point. Typically, data in a skewed distribution clusters more heavily towards one end rather than being evenly distributed. Time-on-task data frequently exhibits skewness. Unlike normal distributions, skewed distributions are not symmetrical.

glossary bee

Why is Skewed Distribution Important?

  • Recognizing Data Patterns: Understanding skewed distributions helps researchers recognize non-normal patterns in data, allowing for appropriate statistical analysis and interpretation.
  • Identifying Data Trends: Skewed distributions indicate where data clusters, providing insights into common behaviors or occurrences within a dataset.
  • Applying Correct Analysis Techniques: Skewed distributions require specialized analytical approaches, ensuring accurate modeling and interpretation of data.

Achieve your Research Objectives with UXtweak!

Transform your research objectives into actionable insights with our research tools!

Register for free

Learn More

Articles

Moderated Usability Testing 101

Moderated Usability Testing 101

UX researchers can often be at a loss to understand what users may be thinking! However, moderated usability testing engages participants in real-time, allowing them to vocalize and discuss their actions and thoughts. This direct approach can uncover deep and insightful information about why, how, and what users think.

Standard Deviation