Start with the original expression.
Use the Distributive Property — multiply 
by both 
and 
.
Combine the like terms — add up all the constants.
Reorder the terms.
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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The opposite of 3.78 is -3.78
Answer:
A = 13.23 m²
Step-by-step explanation:
A = bh
Where,
A = area of the parallelogram
b = base of the parallelogram
h = height of the parallelogram
From the question, assume
b = 2.1 m
h = 6.3 m
A = bh
= 2.1 m × 6.3 m
= 13.23 m²
A = 13.23 m²
Answer:
(-1, -9)
Step-by-step explanation:
Recall that for 2 points (x1, y1) and (x2,y2)
the midpoints are given by
x ordinate = 
y ordinate = 
In our case x1 = 8, y1 = -10, x2 = -10, y2=-8
x ordinate = = [8 + (-10) ] / 2 = -1
y ordinate = = [-10 + (-8) ] / 2 = -9
hence midpoint is (-1, -9)
