When we perform data analysis using Python, it is often useful to pass a list in calling the function as…
A Student t-distributed random variable is modeling the ratio between a standard Normal random variate and square root of a…
Kernel density function is a nonparametric method to find the drawing density curve of random samples, and it is often…
A function in Python is a group of code statements wrapped together to perform specific tasks. After a function is…
Poisson distribution is a discrete distribution. It is frequently used to model the counts of event occurrence during a specified…
In hypothesis testing, the possibility of the other side than the conclusion usually exists, and the analysis commits so-called Type…
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…