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Hatshy [7]
2 years ago
15

HELPP WITH THESE THREE QUESTIONS PLEASE i got yall with 30 points for these three answers

Mathematics
1 answer:
kvv77 [185]2 years ago
5 0

I can't really explain it

see the picture

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The school bus Evie rides is scheduled to arrive at her bus stop at 8:20 a.m. each day. The table below shows the actual arrival
kolbaska11 [484]

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The probability of the bus getting there BEFORE 8:20 isn't likely

I took an average of all of the numbers and its shows that he bus will be there about 8:20.25

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3 years ago
A = 1/2pl + B solve for p
BARSIC [14]

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Step-by-step explanation:

6 0
2 years ago
Explain in your own words the difference between a solid boundary line and a dashed boundary line on a graph of systems of inequ
Mandarinka [93]
A solid line would represent points on the graph that actually are included in the solution, while points that lie on dash lines aren’t included in the solution
8 0
3 years ago
560 cars in 8 hours.how many cars per hour?​
zepelin [54]

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70

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so i uhhhh dont really know im trying to cheat but i cant see answers

7 0
3 years ago
Read 2 more answers
Let X and Y denote the values of two stocks at the end of a five-year period. X is uniformly distributed on the interval (0, 12)
Paladinen [302]

Answer:

Cov (X,Y) = 6

Step-by-step explanation:

hello,

Cov(X,Y) = E(XY) - E(X)E(Y)

we must  first find E(XY), E(X), and E(Y).

since X is uniformly distributed on the interval (0,12), then E(X) = 6.

next we find the joint density f(x,y) using the formula

f(x,y) = g(y|x)f_{X}(x)

f_{X} (x) = \frac{1}{12}  \  $for$\   0 this is because f is uniformly distributed on the the interval (0,12)

also since the conditional probability density of Y given X=x, is  uniformly distributed on the interval [0,x], then

g(y|x)=\frac{1}{x}  for 0≤y≤x≤12

thus

f(x,y)=\frac{1}{12x}.

hence,

E(X,Y)= \int\limits^{12}_{x=0}  \int\limits^x_{y=o} xy\frac{1}{12x}  \,dy dx

E(X,Y)=\frac{!}{24} \int\limits^{12}_{x=0} x^2 \, dx  = 24

also,

E(Y) = \int\limits^{12}_{x=0}  \int\limits^x_{y=0}  y\frac{1}{12x}  \, dydx

E(Y)=\frac{1}{24}\int\limits^{12}_{x=0} {x} \, dx  =3

thus Cov(X,Y) = E(XY) - E(X)E(Y)

                      =  24 - (6)(3)

                      =     6

             

3 0
4 years ago
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