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Statistics

52 posts

Introduction to Probability Distribution

Last Updated: 16 May 2026

A probability distribution is a mathematical function that assigns the probabilities of different outcomes to the possible values of a random variable. It provides a way o...read more

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PYQ on Probability and Statistics | Engineering Mathematics

Last Updated: 01 November 2025

In examinations, questions on Probability and Statistics are considered very important. Most PYQs are based on basic definitions, formulas, and standard theorems related t...read more

Continuous Probability Distributions

Last Updated: 25 July 2025

In mathematics, we often deal with uncertain or variable outcomes, like how long it will take for a server to respond, or how tall a randomly chosen person might be. These...read more

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Statistics in Computer Science

Last Updated: 28 July 2025

Statistics plays a huge role in computer science. It aids in data analysis and enables data-driven decision-making. Statistical techniques become fundamental in areas such...read more

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Analysis of Variance (ANOVA)

Last Updated: 23 July 2025

Analysis of Variance (ANOVA) is a statistical technique used to determine if there are significant differences between the average values (means) of two or more independen...read more

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Bayesian Inference

Last Updated: 21 June 2025

Bayesian inference is a method of statistical inference in which Bayes' Theorem is applied to update the probability for a hypothesis as more evidence or information becom...read more

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Last Updated: 23 July 2025

In statistics and machine learning, the log likelihood helps to measure how well a model explains the data. This complex probability simplifies calculations and is widely ...read more

Zero Shot Classification

Last Updated: 23 July 2025

Traditional machine learning models require labeled examples for every class they need to classify. However, in many real-world scenarios, collecting labeled data for ever...read more

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Machine Learning

Machine Learning

Augmented Dickey-Fuller (ADF)

Last Updated: 23 July 2025

Augmented Dickey-Fuller (ADF) test is a statistical test in time series analysis used to determine whether a given time series is stationary. A stationary time series has ...read more

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Machine Learning

Spectral Analysis in Time Series

Last Updated: 23 July 2025

Spectral analysis is a powerful technique used to explore the frequency components of time series data. Rather than analyzing variations over time, it shifts the focus to ...read more

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Machine Learning

Family-Wise Error Rate

Last Updated: 23 July 2025

In hypothesis testing, when researchers test many things at once, the risk of making at least one Type I error (false positive) increases. The Family-Wise Error Rate (FWER...read more

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Machine Learning

Benjamini-Hochberg Procedure

Last Updated: 23 July 2025

In research, it is common to run many statistical tests at the same time. For example, scientists might test hundreds of genes to find out which ones are linked to a disea...read more

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ML Statistical-test

Cointegration Tests

Last Updated: 23 July 2025

In time series analysis, many variables show trends over time, meaning they are non-stationary. This non-stationarity can be a problem when building statistical models bec...read more

Machine Learning

likelihood Ratio Test

Last Updated: 23 July 2025

The Likelihood Ratio Test (LRT) is a fundamental statistical technique used to compare the goodness of fit between two competing models — a null model (simpler model) and ...read more

Machine Learning

Bayesian Updating

Last Updated: 23 July 2025

Bayesian updating is a core concept in Bayesian statistics. when you're predicting whether it will rain today. You initially believe there's a 30% chance of rain based on ...read more

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Machine Learning

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