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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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