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The document is an ISTQB速 Certified Tester, Foundation Level certificate for Vladyslav Petrov dated 02/11/2018. It certifies that he has knowledge in fundamentals of software testing, testing throughout the software lifecycle, static techniques, test design techniques, test management, and tool support for testing. The certificate number is 18-CTFL-145622-12.
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The document consists of non-parametric tests in Business Research Methods. The chapter includes other details such as Meaning, Advantages; The Chi-square Test, The Sign Test, The Mann-Whitney U Test (in case of Large Sample only), the Kruskal Wallis H Test (in case of Large Sample only), the Runs Test for Randomness (in case of Large Sample only), The Wilcoxon Matched Pairs Signed Ranks Test (in case of Large Sample only).
Chi-Square Tests: 1. Chi-Square Goodness-of-Fit Test
Used to determine if observed frequencies differ significantly from expected frequencies.
The test statistic (2) is always non-negative because it is based on squared differences.
A large 2 value indicates a significant deviation from the null hypothesis, so the rejection region lies in the right tail.
2. Chi-Square Test for Independence
Used to determine if two categorical variables are independent.
Again, the 2 statistic is always non-negative, and a large value suggests dependence between variables.
The sign Test: The Sign Test is a non-parametric statistical test used to evaluate the hypothesis about the median of a population or to compare paired data, particularly when the assumptions of parametric tests (like normal distribution) are not met. It is based solely on the signs of the differences between paired observations, making it distribution-free.
The Mann-whitney U Test: The sign test for comparing two population distributions ignores the actual magnitude of the paired observations and thereby discards information that would be useful in detecting a departure from the null hypothesis.
Kruskal Wallis H Test: The Kruskal-Wallis H Test is a non-parametric statistical test used to determine whether there are statistically significant differences between the medians of three or more independent groups. It extends the Mann-Whitney U test to more than two groups.
Run Test for randomness: The various tests discussed above are based on the assumption that we are dealing with random samples, i.e., samples chosen without bias. However, there are many situations in which this assumption is not justifiable. This is particularly true when we have little or no control over the selection of the data.
Wilcoxon mathced paired-sign-rank: When you can determine both direction and magnitude of difference between carefully matched pairs, use the Wilcoxon matched-pairs test. This test has excellent efficiency and can be more powerful than the t-test in cases where the latter is not particularly appropriate.
Introduction to generative AI for PhD students
Introduction to generative AI for PhD studentsAna Canhoto
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I ran a brief introduction to generative AI session for PhD students and post-docs enrolled in the SeNSS/ SENSS doctoral training partnership.
These are the slides used in the session. The session draws on my socio-technical framework for AI literacy: https://anacanhoto.com/2025/01/27/outline-for-my-ai-literacy-training-session-for-early-career-researchers/
The session was just one hour-long so there was time for neither detail nor depth. But, hopefully, it will encourage people to engage with the technology in ways that are both efficient and in line with the relevant norms.Neurodivergent Friendly Schools: Beyond Inclusion, Towards Belonging
Neurodivergent Friendly Schools: Beyond Inclusion, Towards BelongingPooky Knightsmith
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際際滷s from a keynote talk
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For more information about my speaking and training work, visit: https://www.pookyknightsmith.com/speaking/
18 ctfl-145622-12
- 1. ISTQB速 Certified Tester, Foundation Level 02/11/2018 Vladyslav Petrov Fundamentals of Software Testing Testing throughout the Software Lifecycle Static Techniques Test Design Techniques Test Management Tool Support for Testing 18-CTFL-145622-12