Answer:
-5a-15/4
______
6
Step-by-step explanation:
To find the distance, you need to subtract the second point from the first one. So:
0 - (-9) = 9 ( two minuses turn into a positive)
And
7 - (-5) = 12
So the difference between the points is 9 units on the x- axis and 12 on the y-axis.
Hope this helped and pls mark as brainliest!
~Luna
Answer:
R72. 80
Step-by-step explanation:
1KG = R36, 40
2KG = R36.40 X 2
= R72. 80
The domain and inverse of the function
is
Domain = 
,
What is a function?
A function from A to B is a rule that assigns to each element of A a unique element of B. A is called the domain of the function and B is called the codomain of the function.
There are different operations on functions like addition, subtraction, multiplication, division and composition of functions.
The given function is
r(x) is not defined if x - 4 = 0
r(x) is not defined for x = 4
Domain = ,
Where 
is the set of all real number
Let r(x) = y
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To learn more about function, refer to the link:
brainly.com/question/22340031
#SPJ4
Let Xi be the random variable representing the number of units the first worker produces in day i.
Define X = X1 + X2 + X3 + X4 + X5 as the random variable representing the number of units the
first worker produces during the entire week. It is easy to prove that X is normally distributed with mean µx = 5·75 = 375 and standard deviation σx = 20√5.
Similarly, define random variables Y1, Y2,...,Y5 representing the number of units produces by
the second worker during each of the five days and define Y = Y1 + Y2 + Y3 + Y4 + Y5. Again, Y is normally distributed with mean µy = 5·65 = 325 and standard deviation σy = 25√5. Of course, we assume that X and Y are independent. The problem asks for P(X > Y ) or in other words for P(X −Y > 0). It is a quite surprising fact that the random variable U = X−Y , the difference between X and Y , is also normally distributed with mean µU = µx−µy = 375−325 = 50 and standard deviation σU, where σ2 U = σ2 x+σ2 y = 400·5+625·5 = 1025·5 = 5125. It follows that σU = √5125. A reference to the above fact can be found online at http://mathworld.wolfram.com/NormalDifferenceDistribution.html.
Now everything reduces to finding P(U > 0) P(U > 0) = P(U −50 √5125 > − 50 √5125)≈ P(Z > −0.69843) ≈ 0.757546 .
