What factors affect the power of a t-test?

The Student's t distribution is continuous. It is used to describe small sets of empirical data that resemble a normal curve, but with thicker tails (more ... Nov 15, 2022 ... The entropy of a Student t random variable with ν degrees of freedom is asymptotically \frac{1}{2} + \frac{\log 2\pi}{2} + \frac{1}{\nu} for large Oct 12, 2023 ... We address the problem of computing a consistency factor for the MCD estimator in a heavy-tail scenario, when uncontaminated data come from a multivariate ... Jun 29, 2023 ... Hello, I have a hierarchical regression models that seems to follow a student T distribution but I can't seem to get a high enough “spike” ... Jun 9, 2024 ... The t-distribution, also known as the Student's t-distribution, is a statistical function that creates a probability distribution. Statistics in Python: Student's t-Distributions ... Student's t-Distributions are a generalisation of the standard normal distribution. Their exact shapes depend ... Critical Values for Student's t-Distribution. Upper Tail Probability: Pr(T >t) df. 0.2. 0.1. 0.05. 0.04. 0.03. 0.025. 0.02. 0.01. 0.005. 0.0005. 1. 1.376. 3.078. The Student-t distribution is symmetrically peaked, and its peak is located at μ , the location paramter. The peak's width is dictated by scale parameter σ , ... The decoder infers the posterior distribution of observation given a latent variable. The encoder and de- coder neural networks are optimized by minimizing the ... Student's t-distribution (Fisher's distribution). "Students" t-distribution is a family of curves depending on a single parameter, ν (the degrees of freedom).