Answer:
Explanation:
A general idea is that you should repeat the simulation until the results converge. An easy but illustrative example of this is that we want to see if the R function rbinom is accurate in simulating a coin toss with a given probability. We will simulate one coin toss 10000 times, and plot the percentage of heads against the number of coin tosses:
set.seed(1)
n <- 10000
result <- NULL
percent <- NULL
for (i in 1:n) {
result[i] <- rbinom(1,1,0.5)
percent[i] <- sum(result)/i
}
plot(seq(1:10000),percent, type="l")
abline(0.5, 0, lty=2)
Answer:
Explanation:
dont open or sign up to anything that seems to good to be true
Answer:
The is the type of consumption is typically associated with the wealthy but can also apply to any economic class.
Explanation:
The
data recovery labData recovery can be done in special rooms called data
recovery labs. Data that has been salvaged, lost, or inaccessible from
removable media or secondary storage can be accessed in a normal way. Recovery
of this kind may be required due to the physical damage caused.