Marc Filias

The Kolmogorov-Smirnov test is a nonparametric statistical test used to determine whether a dataset comes from a known distribution or if two datasets come from the same distribution. It is named after Andrey Kolmogorov and Nikolai Smirnov, who developed the test. This article will explore the basics of the Kolmogorov-Smirnov test, its applications, and provide

Introduction to the Kruskal-Wallis Test The Kruskal-Wallis test is a non-parametric statistical test used to compare three or more independent groups to determine if there are statistically significant differences between them. It is often considered the non-parametric equivalent of the one-way analysis of variance (ANOVA) and is particularly useful when the assumptions of ANOVA, such

Two-way ANOVA in a financial context Let’s demonstrate a two-way ANOVA in a financial context by examining how both sector and market capitalization influence stock returns: # Set seed for reproducibility np.random.seed(456) # Create a dataset with two factors: market sector and company size sectors = [‘Technology’, ‘Healthcare’, ‘Financial’] company_sizes = [‘Small Cap’, ‘Large Cap’]

Introduction Analysis of Variance, commonly known as ANOVA, is a statistical method used to test differences between two or more means. It was developed by statistician Ronald Fisher in the 1920s and has become a fundamental technique in experimental research across various fields including psychology, biology, medicine, and social sciences. ANOVA helps researchers answer a

Extracting specific pages from a PDF can be a useful task for various purposes, such as creating summaries, isolating important information, or reducing file size. In this article, we will guide you through the process of extracting the first page of a PDF using the PyPDF2 library in Google Colab. Step-by-Step Guide After running this