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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Answer:It’s A
Step-by-step explanation: the reason being is look from the origin(0,0) to the blue dot there is a circle of you think about try to imagine that circle crossing the whole place it couldn’t be C or D because that’s less than the imaginary circle and also 150 is close to 180. 180 is fully behind and A is close to 180 than B. Also remember, negative degrees is only clockwise and positive degrees are COUNTER. Hope it helps especially on the exam it also took me a bit to understand but it makes sense now.
Answer:
112
Step-by-step explanation:
Do the opposite to get your answer.
28 x 4 = x
x = 112
Answer: B, C, D
Step-by-step explanation:
since it is rotated, the parallel sides stay parallel.
the answer to your question is 4^6
