The distribution function of the univariate random variable x is continuous at x if and only if , F (x) = P (X ≤ x)
Continuous univariate statistical distributions are functions that describe the likelihood that a random variable, say, X, falls within a given range. Let P (a Xb) represent the probability that X falls within the range [a, b].
A numerically valued variable is said to be continuous if, in any unit of measurement, whenever it can take on the values a and b. If the random variable X can assume an infinite and uncountable set of values, it is said to be a continuous random variable.
If X can take any specific value on the real line, the probability of any specific value is effectively zero (because we'd have a=b, which means no range). As a result, continuous probability distributions are frequently described in terms of their cumulative distribution function, F(x).
To learn more about univariated data
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Step-by-step explanation:
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it's a I know this because I'm in the 8th
Step-by-step explanation:
it's a
First off, 2/10 can be simplified. 2 divided by 2 is 1. So the numerator is 1. 10divided by 2 is 5. Denominator is 5. So right now your first fraction is 2/5. 2/5 divided by 1/2. First, you keep your first fraction. You switch the division sign to multiplication, and always do the reciprocal (flip it around) of the second fraction. So instead of 1/2, it would be 2/1. Then multiply. 2/5 x 2/1. 2x2 is 4, 5x1 is 5. 4- numerator/5-denominator. Your answer is 4/5.
