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#statistics

This week we will skill up on Probability and Statistics, an essential skill set for data science. While Probability is used for the prediction of future events, statistics is used for the analysis of…

What are the Correlation and Coefficient? The correlation coefficient is a statistical measure that calculates the strength of the relationship between the relative movements of two variables. We use…

What is the statistical test for data validation with an example, Chi-square, ANOVA test, Z statics, T statics, F statics, and Hypothesis Testing? Before discussing the different statistical tests, w…

What is Mean Absolute Error? What is Absolute Error? Absolute Error is the amount of error in your measurements. It is the difference between the measured value and the “true” value. For example, if…

What is the Mean, Median, Mode, and Standard Deviation for the sample and population? Mean: It is an important technique in statistics. Arithmetic Mean can also be called an average. It is the numb…

In this series of blog posts, I will be sharing notes on data science-related topics howbeit in no particular order. It will be particularly useful for beginners in this field, people with zero knowle…

Introduction People are often told that voting is incredibly important, and many people proudly boast about the fact that they voted in an election. People who do not vote are often frowned upon as be…

A Problem With The Integral: A Solution Armani Willis Mercy College 7.24.1.20 This is my original work, the work of A. Willis. To address recurring and annoying problems in education. All uses of my w…

The t distribution has long tails and is therefore robust against outliers. If we can fit a multivariate t distribution to a data set of input-output pairs, we can therefore perform outlier-robust lin…

This article presents some Python code for computing the log-likelihood of a sample under a multivariate Gaussian distribution, along with the formulas used to justify the method of computation. The O…