00:01
Hi, i'm david and i'm here to help the answer your question.
00:04
Now let me bring up your question here.
00:07
In the question here, we want to discuss about the cumulative distribution function.
00:12
Now, the first question 2, it will be a probability density function of a random variable x is a rule that will assign the probability value to each value of the x.
00:24
So therefore the answer it will be the c.
00:30
Now for the number 3, a cumulative value, probability function, it is denoted by the capital fx and it just equal to the probability of the x, more equal to the small x.
00:43
Now it is a rule that can be determined by accumulating the probabilities described by the correspondence bdf, and that makes sense because it's just equal to integral from the minus infinity cumulating up to the volume the x, under density fx, the x.
01:02
So therefore the p will be correct here.
01:06
For the number 4, now i want to find the expression of the probability of the x between the 2 interval a and b...