Statistics using R programming - Using Normal distribution with R programming . #statistics

Statistics using R programming - Using Normal distribution with R programming .

A continuous random variable X having the bell-shaped distribution is called a normal random variable. The mathematical equation for the probability distribution of the normal variable depends on the two parameters μ and σ, its mean and standard deviation, respectively.

The curve of any continuous probability distribution or density function is constructed so that the area under the curve bounded by the two ordinates x = x1 and x = x2 equals the probability that the random variable X assumes a value between x = x1 and x = x2 .

Table for standard normal distribution probability makes it available to find the probability for the curve between z1 and z2.
probability functions take the form [dpqr]distribution_abbreviation()
Where
d = Density or probability
p = Cumulative Distribution function
q = Quantile function
r = Random number generation

dnorm
pnorm
qnorm
rnorm

#statistics
#rprogramming
#probability
#rstudio
#normaldistribution
#rdatacode