Mathematics

Applied Mathematics, Probability Distributions, Statistics October 22, 2019

Poisson Distribution in Statistics

A random variable X is said to follow Poisson distribution, if it follows the following probability distribution function. Poisson distribution is a discrete probability distribution. It models the following types of problems Find out number …

Expectation of X in Binomial Distribution

Mathematics, Probability Distributions, Statistics October 20, 2019

Binomial Distribution in Statistics

Let X be a random variable, it is said to follow binomial distribution if it follows the following probability mass function. And it can have only non-negative values. The binomial distribution is a discrete probability…

Data Science, Statistics October 17, 2019

Uniform Distribution

Uniform Distribution or Rectangular Distribution Uniform distribution or rectangular distribution is a continuous probability distribution. Definition- A random variable X is said to follow uniform or rectangular distribution it follows the following probability distribution function….

Applied Mathematics, Artificial Intelligence, Computer Science, Data Science, Machine Learning, Mathematics, Python, Statistics October 16, 2019

Central Limit Theorem and Normal Distribution

Why is normal distribution is important? To understand the question you have to go through the Central Limit Theorem. Central Limit Theorem According to central limit theorem if X1, X2, X3,……Xn are random variables…

Applied Mathematics, Data Science, Machine Learning, Python, Statistics October 10, 2019

Correlation in Statistics

Correlation Correlation measures the relation between two variables that how they are related. And is denoted by r and ρ moreover, the correlation quantifies the level of relationship between -1 to +1. If the value…

Data Science, Machine Learning, Statistics October 8, 2019

Standard Deviation, Variance and Covariance

Standard Deviation Variance and Covariance Standard deviation, variance and covariance have very important applications in machine learning and data science. Further, they are closely related to each other. In feature reduction techniques, such as PCA…

Applied Mathematics, Computer Science, Data Science, Machine Learning, Statistics October 6, 2019

Skewness and Kurtosis

Skewness and Kurtosis- Introduction- Skewness and Kurtosis are very important concepts in statistics and have several applications. In addition, they characterize the nature of data distribution which make data analysis easier. Moreover, I will separately…

Applied Mathematics, Mathematics, Statistics September 29, 2019

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