'In R - How to consider two aleatory variables A,B~U(0,1) and denote X as cos(2πB)sqrt(−2 ln A) and finde the mean, asymmetry and kurtosis?
I basically have parameters A and B (i don't have their values) and I'm supposed to generate n=5000 observations from distribution X and then find the mean, median, variance, asymmetry, and kurtosis.
I seriously have no idea of how to do this
I also have to generate n = 5000 obs. coming from a standard normal distribution and calculate the same measures.
Could somebody tell me how I should start?
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|
