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Skewness We always check for Skewness and Kurtosis while doing Exploratory Data Analysis, they both measure and give information about the shape of the data, but they capture different aspects of the data. Skewness measures and describe the asymmetry of distribution while Kurtosis measures the degree of peakedness or flatness. Skewness is a statistical measure … Read more
Hypothesis Testing There are several main types of hypothesis testing, each suited to analyzing different kinds of data and research questions. Here’s a breakdown of some common types: Parametric Tests: Non-Parametric Tests: Choosing the Right Test: The type of hypothesis test you choose depends on your specific research question and data characteristics: Statistical Tests Test … Read more
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