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…
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…
read.table() function in R is often used when a delimited ASCII file (e.g. text file or csv file) is to…
Data frames are the most widely used data structures in R programming. Unlike each element in vector/matrix/array must have same…
When it is needed to store many elements of same type or mode into one data object in R, you…