# Statistics

All About Statistics For Data Science ## can statistics be misused?

Lets explore the potential misuse of statistics, the causes of such misuse, and the consequences of it. Introduction Statistics is a field of study that deals with the collection, analysis, interpretation, presentation, and organization of data. It is a vital tool for making informed decisions in various fields, including science, business, and policy-making. However, statistics … ## can statistics prove anything?

Statistics can be misused or misunderstood, leading to incorrect conclusions or decisions.Lets explore explore the limitations of statistics and the importance of understanding these limitations. Introduction Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It is often used in research to understand patterns, trends, and … ## The Fundamentals of Hypothesis Testing

Let’s explore some basics of Hypothesis Testing for the beginners, with some real life business case. Introduction to Hypothesis Testing Well, Hypothesis testing is a statistical method used to evaluate the credibility of a hypothesis by examining the evidence that supports or refutes it. It is a critical tool used by companies and researchers around … ## All You Need To Know About Statistical Significance

Yes let’s touch on the most important topic in hypothesis testing, with some real-life examples and how to implement it in Python Introduction In statistics, the term statistical significance refers to the likelihood that a result or relationship observed in a sample data is real or true, and not due to chance. Statistical significance is … ## Ultimate Guide For KS Statistic a CLASSIFICATION Metrics

Let’s learn about math, interpretaion and implimentaion in python for Kolmogorov-Smirnov(KS) statistic Introduction to classification Classification is a machine learning technique that involves predicting the class or category to which an input belongs. For example, a classification model might take as input an image of a person’s face and output the predicted identity of the …