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Gaussian vs Normal Distribution First and foremost the normal distribution and the Gaussian distribution are used to refer the same distribution, which is perhaps the most encountered distribution in the statistical theory. For a random variable x with Gaussian or Normal distribution, the probability distribution function is P(x)=[1/(σ√2π)] e^(-(x-µ)2/2σ2 ); where µ is the […]
Binomial vs Normal Distribution Probability distributions of random variables play an important role in the field of statistics. Out of those probability distributions, binomial distribution and normal distribution are two of the most commonly occurring ones in the real life. What is binomial distribution? Binomial distribution is the probability distribution corresponding to the random […]
Discrete vs Continuous Probability Distributions Statistical experiments are random experiments that can be repeated indefinitely with a known set of outcomes. A variable is said to be a random variable if it is an outcome of a statistical experiment. For example, consider a random experiment of flipping a coin twice; the possible outcomes are HH, […]
Poisson Distribution vs Normal Distribution Poisson and Normal distribution come from two different principles. Poisson is one example for Discrete Probability Distribution whereas Normal belongs to Continuous Probability Distribution. Normal Distribution is generally known as ‘Gaussian Distribution’ and most effectively used to model problems that arises in Natural Sciences and Social Sciences. Many rigorous problems […]
