The exponential distribution is modeling the probability distribution of the random time until next event occur in a Poisson event…
When we do data analysis, random variables in the dataset are usually mutually correlated. Sometimes, we may want to measure…
Normal distribution is describing random variables with bell-shaped probability density functions. Normal distribution is widely used in data science because…
A Student t-distributed random variable is modeling the ratio between a standard Normal random variate and square root of a…
Poisson distribution is a discrete distribution. It is frequently used to model the counts of event occurrence during a specified…
In hypothesis testing, the analyst has chance to commit both Type I and Type II errors. The Type I error…
In statistical hypothesis testing, there are usually two types of errors that the process will encounter, namely Type I and…
Weibull distribution, named after Swedish mathematician Waloddi Weibull, is a continuous distribution which is widely used to model the distribution…
Lognormal distribution in probability and statistics is used to model the distribution of a positive random variable Y, if Y…
Beta distribution is a family of distributions which are used to model the probability of continuous random variables defined on…