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Related Concept Videos

Goodness-of-Fit Test01:16

Goodness-of-Fit Test

The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
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Expected Frequencies in Goodness-of-Fit Tests

A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
Test for Homogeneity01:23

Test for Homogeneity

The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can be stated as...
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Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
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Wilcoxon Rank-Sum Test01:21

Wilcoxon Rank-Sum Test

The Wilcoxon rank-sum test, also known as the Mann-Whitney U test, is a nonparametric test used to determine if there is a significant difference between the distributions of two independent samples. This test is designed specifically for two independent populations and has the following key requirements:
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
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Related Experiment Video

Updated: Jun 24, 2026

Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication
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Prone-Position Modified Silfverskiöld Test: Feasibility and Reliability.

Maneesh Bhatia1, Aditya Dhiran1, Annette Jones1

  • 1University Hospitals Leicester, Leicester General Hospital, Department of Orthopaedics (Foot and Ankle Unit), Leicester, United Kingdom.

Foot & Ankle Orthopaedics
|February 24, 2026
PubMed
Summary

A modified prone-position Silfverskiöld test reliably measures gastrocnemius tightness, offering a comfortable and practical alternative to traditional supine or sitting methods for diagnosing foot and ankle pathologies.

Keywords:
Silfverskiöld testankle dorsiflexionclinical assessmentgastrocnemius contractureprone positionreliability

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Area of Science:

  • Orthopedics
  • Sports Medicine
  • Diagnostic Reliability Studies

Background:

  • Gastrocnemius tightness is a common cause of foot and ankle pathologies.
  • The traditional Silfverskiöld test differentiates gastrocnemius and soleus tightness in supine or sitting positions.
  • A new prone-position modification offers potential for improved simplicity and bilateral comparison.

Purpose of the Study:

  • To establish the diagnostic reliability of a prone-position modification of the Silfverskiöld test.
  • To compare dorsiflexion measurements obtained from the prone modification with established supine and sitting techniques.
  • To assess patient comfort levels with the prone-position modification.

Main Methods:

  • The prone-position Silfverskiöld test was performed with feet extending beyond the couch, testing both simultaneously in full extension and 90-degree knee flexion.
  • The technique was evaluated for interobserver and intraobserver reliability using intraclass correlation coefficients (ICCs).
  • Dorsiflexion measurements were compared among prone, supine, and sitting positions using ANOVA, and patient comfort was assessed.

Main Results:

  • The prone-position modification demonstrated good to excellent interobserver (ICC 0.89) and intraobserver (ICC 0.94-0.97) reliability.
  • No significant differences in dorsiflexion measurements were found between the prone, supine, and sitting positions (P > .80).
  • The majority of patients (86.7%) found the prone test to be the most comfortable.

Conclusions:

  • The prone-position modification of the Silfverskiöld test is a reliable and clinically comparable method for assessing dorsiflexion.
  • This modification is well-tolerated by patients and offers a practical alternative to traditional methods.
  • Further validation in larger studies is recommended due to the modest sample size.