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Identifying Statistically Significant Differences: The F-Test

Identifying Statistically Significant Differences: The F-Test

The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...

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Updated: Feb 18, 2026

Interrogating Individual Autoreactive Germinal Centers by Photoactivation in a Mixed Chimeric Model of Autoimmunity

Interrogating Individual Autoreactive Germinal Centers by Photoactivation in a Mixed Chimeric Model of Autoimmunity

Published on: April 11, 2019

Sigfrid Fregert

Magnus Bruze¹, Malin Engfeldt, Erik Zimerson

¹Department of Occupational and Environmental Dermatology Lund University, Skåne University Hospital Malmö, Sweden.

Dermatitis : Contact, Atopic, Occupational, Drug

|November 15, 2017

Summary

No abstract available in PubMed .

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