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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...
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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 ...
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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...
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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...
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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...
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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...
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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...
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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 ...
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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 ...
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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...
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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...
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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...
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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, ...
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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...
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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...
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