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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
What is ANOVA Analysis of Variance? ANOVA Analysis of Variance is a statistical technique used to compare the means of two or more groups to determine if there is a statistically significant difference among them. ANOVA assesses whether the means of different groups are significantly different from each other by examining the variance within each … Read more
T-Test: Overview and Requirements Requirements to Perform a T-Test Essential Requirements: Additional Considerations: Key Differences from Z-Test Requirements: Steps to Perform a T-Test: Example Calculation: Independent Samples T-Test Scenario: We want to compare the average height of male and female students in a university. We randomly select 20 male students and measure their heights, and … Read more