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
brainly.com/question/13415579
#SPJ4
Answer:
-13 2/3
Step-by-step explanation:
-5 5/6 5x6= 30 4x5= 20
+ 20/30= 2/3
-8 4/5
----------- -5 + -8 = -13
-13 2/3
hope this helps
2 42/100 turn it to a fraction
Answer: In order to begin figuring that out, we need to know how both of their plans work.
