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sertanlavr [38]
3 years ago
6

16) Which of the following best represents the

Mathematics
1 answer:
Nostrana [21]3 years ago
4 0
I think it is B because it has a continuous line soy it couldn’t be a. It has negative numbers so it couldn’t be D. And it has negative numbers so couldn’t be C
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Solve each system of equations (show steps) y=2x x+y=12
Hunter-Best [27]
Im learning this too right now hope this helps

1.you get y by itself and put what y equals where y is in the other equation
y=2x. x+y=12

x+2x=12
3x=12. (divided 3 on both sides)
x=4

2.after you find x(or y) put it in one of the problems above and solve for whats missing which in this case is y

y=2(4) 4+y=12
y=8. -4. -4
y=8
7 0
3 years ago
The amounts below show the change (measured in feet) in water level over four months. What is the average monthly change in wate
Afina-wow [57]
What you want to do is add the probabilities up and divide by how many there are so it will be 0.4+1.8+0.2-0.8/4
Which is 0.35
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2 years ago
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What is the length of leg s of the triangle below?
kifflom [539]

Answer:

i normally know these but i honestly dont know but can you please put branliest

Step-by-step explanation:

6 0
3 years ago
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Children arrive at a house to do Halloween trick-or- treating according to a Poisson process at the unlucky rate of 13/hour. Wha
Art [367]

Answer:

0.4204 probability, option b.

Step-by-step explanation:

Exponential distribution:

The exponential probability distribution, with mean m, is described by the following equation:

f(x) = \mu e^{-\mu x}

In which \mu = \frac{1}{m} is the decay parameter.

The probability that x is lower or equal to a is given by:

P(X \leq x) = \int\limits^a_0 {f(x)} \, dx

Which has the following solution:

P(X \leq x) = 1 - e^{-\mu x}

The probability of finding a value higher than x is:

P(X > x) = 1 - P(X \leq x) = 1 - (1 - e^{-\mu x}) = e^{-\mu x}

Children arrive at a house to do Halloween trick-or- treating according to a Poisson process at the unlucky rate of 13/hour

13 arrivals during an hour, which means that the mean time between arrivals, in minutes is of \mu = \frac{13}{60} = 0.2167

What is the probability that the time between the 15th and 16th arrivals will be more than 4 minutes ?

This is P(X > 4). So

P(X > 4) = e^{-0.2167*4} = 0.4204

So the correct answer is given by option b.

3 0
2 years ago
Please answer this correctly
Zinaida [17]
You have to do 931 x 2 and 52x 1 hour and 9 minutes
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3 years ago
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