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Wilcoxon Signed-Rank Test : Overview and Requirements The Wilcoxon signed-rank test, also known as the Wilcoxon matched-pairs signed-rank test, is a non-parametric statistical test used to compare two paired samples. It is a powerful alternative to the paired t-test when the data may not be normally distributed or the sample size is small. Purpose: Requirements: … Read more
Mann-Whitney U Test The Mann-Whitney U test, also known as the Wilcoxon rank-sum test, is a non-parametric statistical test used to compare two independent groups. It helps assess whether the two groups are likely to come from the same population or have different medians. What it does: Requirements: Steps to Conduct a Mann-Whitney U Test: … Read more
What is Chi-Square test? The chi-square test (χ²) is a non-parametric statistical test used to analyze categorical data. It helps determine whether the observed frequencies of a variable (e.g., the number of people in different categories) differ significantly from what would be expected based on a specific hypothesis. Here’s a breakdown of the chi-square test: … Read more
Dominate Data Wrangling with Pandas Series! Pandas, a cornerstone library in Python’s data science arsenal, offers a treasure trove of tools for data manipulation and analysis. At its core lies the Series, a one-dimensional powerhouse capable of storing and manipulating data of various types. This guide empowers you to grasp the essence of Pandas Series, … Read more