I do not see anything wrong with it
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Answer:
(c) ∠ECF and ∠BCF
Step-by-step explanation:
Complementary angles total 90°. Here, 90° angle BCE is divided by ray CF into two complementary angles. They necessarily have a total of 90°.
∠ECF and ∠BCF
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: straight line across on the y axis on -2/3
Step-by-step explanation:
Add 4/10 to 9/10.
9/10 + 4/10 = 13/10
Simplify 13/10 into a mixed number by subtracting 10 from the numerator and turning it into a whole.
13/10 ⇒ 1 3/10
<h2>Answer:</h2>
<u>Jen is </u><u>1 3/10 meters</u><u> tall.</u>
