michonamona
- 120
- 0
Suppose Xn is a random variable. Let b and c be a constant.
Is the following generally true?
P(|X_{n}-b| \geq \epsilon) = P(|X_{n}-b|^{2} \geq \epsilon^{2})
This says that the probability that Xn minus b is greater than or equal to epsilon is equal to the probability that Xn minus b squared is greater than epsilon squared.
My prof keeps saying that they are the same event, therefore, they have the same probability. But I still don't understand. Any insight?
Thanks,
M
Is the following generally true?
P(|X_{n}-b| \geq \epsilon) = P(|X_{n}-b|^{2} \geq \epsilon^{2})
This says that the probability that Xn minus b is greater than or equal to epsilon is equal to the probability that Xn minus b squared is greater than epsilon squared.
My prof keeps saying that they are the same event, therefore, they have the same probability. But I still don't understand. Any insight?
Thanks,
M