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Parametric Tests in R

Last Updated: 12 July 2025

In R, a parametric test is a statistical method that makes specific assumptions about the population distribution, often assuming normality, equal variance and interval or...read more

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Non-Parametric Tests in R

Last Updated: 23 July 2025

In R, a non-parametric test is a statistical method that analyzes data without assuming a specific distribution, such as the normal, binomial, or Poisson distribution. It ...read more

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Probability Distributions in R

Last Updated: 23 July 2025

In R, probability distributions (PD) describe the likelihood of different outcomes for a random variable. R provides functions for calculating, simulating, and visualizing...read more

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How to Visualize Kurtosis in R

Last Updated: 23 July 2025

Kurtosis is a statistical measure that describes the shape of a distribution's tails about its overall shape. It indicates how heavy or light the tails of a distribution a...read more

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What is a Partial F-Test in R?

Last Updated: 23 July 2025

In regression analysis, it's common to compare different models to determine which one explains the data better. In this article will cover the concept of the Partial F-Te...read more

Parameters of rbinom() in R

Last Updated: 23 July 2025

The rbinom() function in R is used to generate random numbers from a binomial distribution. The binomial distribution models the number of successes in a fixed number of i...read more

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Type I Error in R

Last Updated: 25 July 2025

A Type I error occurs when we reject a true null hypothesis. In simpler terms, it means detecting an effect or difference that doesn’t actually exist. This kind of false p...read more

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Decision Errors in R

Last Updated: 23 July 2025

When working with statistical hypothesis testing or machine learning models in R, decision errors are critical considerations that can impact the reliability and accuracy ...read more

Dirichlet Distribution in R

Last Updated: 23 July 2025

The Dirichlet distribution is a multivariate generalization of the Beta distribution and is commonly used in Bayesian statistics, machine learning, and other fields where ...read more

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Zipf distribution in R

Last Updated: 23 July 2025

The Zipf distribution is an important statistical model that captures the "rank-frequency" relationship in various natural and social phenomena. It describes how a few ite...read more

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Benford's Distribution in R

Last Updated: 23 July 2025

Benford's Law, also known as the First-Digit Law or Benford's Distribution, is a fascinating statistical phenomenon that predicts the frequency of the first digits in many...read more

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Discrete Distribution in R

Last Updated: 23 July 2025

In statistics, distributions can be broadly classified into continuous and discrete categories. A discrete distribution is one where the random variable takes on countable...read more

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Function to Compute Kurtosis Along with Other Statistical Measures using R

Last Updated: 23 July 2025

In statistical analysis, understanding the distribution of your data is crucial. One way to do this is by calculating statistical measures such as mean, median, variance, ...read more

Overview of Statistical Analysis in R

Last Updated: 23 July 2025

Statistical analysis is a fundamental of data science, used to interpret data, identify trends, and make data-driven decisions. R is one of the most popular programming la...read more

Understanding Durbin-Watson Test in R

Last Updated: 23 July 2025

In this article, we will explore how to perform the Durbin-Watson test in R, understand its interpretation, and learn how to apply it in regression analysis using R Progra...read more

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