Hub
Pricing About
NodeNode / Manipulator

Shapiro Wilk Normality Test (deprecated)

KNIME LabsStatistics

This node has been deprecated and its use is not recommended. Please search for updated nodes instead.

Like

The Shapiro-Wilk Normality Test checks whether a sample comes from a normally distributed population. It is applicable for 3 to 5000 data points. The node outputs two values: the test statistic W and the corresponding p-value. To accept or reject the null hypothesis, one can either compare W to a predefined threshold Wcritical or use a threshold for the p-value. Since the test is biased by sample size, the test may be statistically significant from a normal distribution in any large samples. Thus a Q–Q plot is required for verification in addition to the test. More information about this test can be found on Wikipedia .

Node details

Input ports
  1. Type: Table
    Input data
    The data to test normality on
Output ports
  1. Type: Table
    Statistics
    The statistics with p-value and test measure

Extension

The Shapiro Wilk Normality Test (deprecated) node is part of this extension:

  1. Go to item

Related workflows & nodes

  1. Go to item
  2. Go to item
  3. Go to item

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits