Parametric Statistical Inference for Comparing Means and Variances

• Published in: Investigative ophthalmology & visual science Vol. 61; no. 8; p. 25
• Main Authors: Ledolter, Johannes, Gramlich, Oliver W., Kardon, Randy H.
• Format: Journal Article
• Language: English
• Published: United States The Association for Research in Vision and Ophthalmology 01.07.2020
• Subjects: Analysis of Variance; Biometry - methods; Diagnostic Techniques, Ophthalmological; Focus on Data; Humans; Normal Distribution; Ophthalmology - methods; Reproducibility of Results; Retina - diagnostic imaging; Statistics as Topic - methods; Statistics as Topic - standards; Tomography, Optical Coherence - methods; Tomography, Optical Coherence - statistics & numerical data

The purpose of this tutorial is to provide visual scientists with various approaches for comparing two or more groups of data using parametric statistical tests, which require that the distribution of data within each group is normal (Gaussian). Non-parametric tests are used for inference when the s...