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:
b
Step-by-step explanation:
Add the amount of choices, and divide by the number of customers surveyed.
40 + 32 + 8 + 20 = 100
40 customers were surveyed
100/40 = 2.5
The average number should be D) 2.5
hope this helps
Answer:
#11
2 is best described as Term one
x is best described as the Variable
16 is best described as Term two
#12
2x10=20
Step-by-step explanation:
I am pretty sure of my answers.
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Answer:
I believe its B
Step-by-step explanation:
I took this test and im pretty sure I got this one right