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PhD student Dairy Science (Computer vision/Machine Learning)
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🐍 How Editing settings.json Helps VS Code Detect Your Python Virtual Environment on Linux & WSL
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This tutorial employs the Null Hypothesis Significance Testing (NHST) framework and the Chi-Square ($\chi^2$) test to analyze categorical data. This approach is an alternative, yet equivalent, method to the two-sample proportion test for categorical data when a large sample size is assumed.
8 minute read
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The goal of employing power is strategic. We want to give ourselves the greatest chance of successfully rejecting the null hypothesis, assuming it is incorrect. Understanding power is essential for statisticians in planning how and what data to collect to extract useful knowledge.