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  1. 29 Μαΐ 2019 · When we want to compare the means of two independent groups, we can choose between using two different tests: Students t-test: this test assumes that both groups of data are sampled from populations that follow a normal distribution and that both populations have the same variance.

  2. 8 Ιαν 2024 · The Student test and the Welch test have different strengths and weaknesses. If the two populations really do have equal variances, then the Student test is slightly more powerful (lower Type II error rate) than the Welch test.

  3. 9 Φεβ 2021 · This article provides guidance for the use of the Welch t-test, with subtle but important differences and validity in a broader range of settings: advises the use of the Welch t-test rather than Student's t-test.

  4. 11 Δεκ 2022 · The Student test and the Welch test have different strengths and weaknesses. If the two populations really do have equal variances, then the Student test is slightly more powerful (lower Type II error rate) than the Welch test.

  5. 27 Απρ 2023 · The independent samples t-test comes in two different forms, Student’s and Welch’s. The original Student t-test – which is the one I’ll describe in this section – is the simpler of the two, but relies on much more restrictive assumptions than the Welch t-test.

  6. 1 Μαρ 2021 · Knowledge that students acquire outside school may not be recognized in school when teachers have different social-cultural backgrounds than their students. The theory of funds of knowledge/identity (FoK/I) makes a plea for teaching that draws on students' knowledge, skills and experiences.

  7. Understanding Different Types of Knowledge to Assess. Assuming there is coherence across course learning outcomes (CLOs), assessments, and planned learning experiences, the exam results noted in the opening most likely reveal shallow vs deep learning.

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