A percentile is simply a quantile with expressed as a percent
There are two types of random variable
R cannot approximate quantiles for you for common distributions
None of the mentioned
Answer is Wrong!
Answer is Right!
The correct answer is: B. There are two types of random variable.
A percentile is simply a quantile with expressed as a percent. A quantile is a value that divides a ranked data set into two parts, so that a certain percent of the data falls below the value. For example, the 25th percentile is the value
448 288 448s170.8 0 213.4-11.5c23.5-6.3 42-24.2 48.3-47.8 11.4-42.9 11.4-132.3 11.4-132.3s0-89.4-11.4-132.3zm-317.5 213.5V175.2l142.7 81.2-142.7 81.2z"/>
Subscribe on YouTube
that divides the data into two parts, so that 25% of the data falls below the value.
R can approximate quantiles for you for common distributions. For example, the following code will approximate the 25th percentile of a normal distribution:
quantile(rnorm(1000), 0.25)
This will return a value that is approximately equal to the 25th percentile of a normal distribution.
There are many types of random variables, including continuous random variables, discrete random variables, and mixed random variables. A continuous random variable is a random variable that can take on any value within a given interval. A discrete random variable is a random variable that can take on only a finite number of values. A mixed random variable is a random variable that can take on both continuous and discrete values.