Answer:
I think the answer would be -1/2 or D.
Step-by-step explanation:
Use this formula for calculating slope : y2-y1 / x2 - x1
1. label the pairs, 1 and 2
(-6, 1) - ( x1, y1 ) or (4,-4) - (x1, y1)
(4,-4) - ( x2, y2) (-6,1) - (x2, y2)
(the order does not matter)
2. Than plug in your numbers
y2-y1 / x2 -x1 y2-y1 / x2 -x1
-4 - 1 / 4 - (-6) or 1 - (-4) / -6 - 4
= -5/10 or -1/2 = - 5/-10 or -1/2
im only in eight grade so i did my best explaining , and this hope it helps :)
Answer:
ok ok ok ok ok ok o kom ko ko ko ko ko komk ko ko ko k kokok ok ok ok ok ok ok ok ok o-k ok ok
Step-by-step explanation:
Answer:
A
Step-by-step explanation:
Hope this helps!
The circle with center O has two chords AC and EF which are of same length 9.07.
OD and OB are the two perpendiculars drawn from the center O to the two chords AC and EF .It represents the distance of the chords from the centre.
The circle theorem states: congruent chords are equidistant from the center.
OD is congruent to OB.
Option A is the right answer.
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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