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Normal Distribution

What is Normal Distribution?

A normal distribution is a statistical pattern observed in continuous metrics, characterized by the majority of values clustering near the center of the distribution and exhibiting symmetrical distribution around it. Its graphical representation forms a distinctive bell-shaped curve. Many metrics utilized in UX research demonstrate a normal distribution pattern.

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Why is Normal Distribution Important?

  • Statistical Pattern Recognition: Normal distribution, characterized by its bell-shaped curve, helps researchers recognize typical data behavior in continuous metrics.
  • Effective Data Analysis: Understanding normal distribution aids in interpreting and analyzing data accurately, guiding researchers in making informed decisions based on statistical principles.
  • Modeling Assumption: Many statistical techniques in UX research rely on the assumption of normal distribution for valid estimation and inference, ensuring the reliability of research findings.

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User Interviews

User Interviews

Discover everything you need to know about user interviews, how to conduct them, what techniques to choose and how to maximize the impact of the collected user insights.

Five Second Testing

Five Second Testing

We are going to introduce you to five second testing, explain its significance as a research method, when and how to conduct it, as well as discuss some of the best practices.

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