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maxonik [38]
3 years ago
15

if there both consecutive doesn't that mean that there both -9 so how is one bigger an one smaller.... ​

Mathematics
1 answer:
MrRissso [65]3 years ago
5 0

Answer:

-14

Step-by-step explanation:

have a great day good luck

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Which statement is correct?
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Answer:

what statement?

Step-by-step explanation:

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3 years ago
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A person is chosen at random. What is the probability that they passed the driving test?
Cerrena [4.2K]
<h3>Answer:  4/5</h3>

Explanation:

We have 24 adults who passed and 16 teens who passed. So 24+16 = 40 people passed total.

There are 24+8+16+2 = 50 people total

If you pick someone at random, the probability of them passing is 40/50 = 4/5.

In decimal form, this is 4/5 = 0.80 which converts to 80%

7 0
3 years ago
How much pure water must be mixed with 10 liters of a 25% acid solution to reduce it to a 10% acid solution?
elena-s [515]

Suppose you add x liters of pure water to the 10 L of 25% acid solution. The new solution's volume is x + 10 L. Each L of pure water contributes no acid, while the starting solution contains 2.5 L of acid. So in the new solution, you end up with a concentration of (2.5 L)/(x + 10 L), and you want this concentration to be 10%. So we have

\dfrac{2.5}{x+10}=0.1\implies25=x+10\implies x=15

and so you would need to add 15 L of pure water to get the desired concentration of acid.

8 0
4 years ago
What is the area of a rectangle with a length of 7.5 feet and a width of 8 feet?
Pepsi [2]

Answer:

d 60 ft 2

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4 0
3 years ago
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Suppose that only 65% of all drivers in a certain state wear a seat belt. a random sample of 80 drivers is selected. what is the
jonny [76]

Answer:

Pr(X >42) = Pr( Z > -2.344)

                = Pr( Z< 2.344) = 0.9905

Step-by-step explanation:

The scenario presented can be modeled by a binomial model;

The probability of success is, p = 0.65

There are n = 80 independent trials

Let X denote the number of drivers that wear a seat belt, then we are to find the probability that X is greater than 42;

Pr(X > 42)

In this case we can use the normal approximation to the binomial model;

mu = n*p = 80(0.65) = 52

sigma^2 = n*p*(1-p) = 18.2

Pr(X >42) = Pr( Z > -2.344)

                = Pr( Z< 2.344) = 0.9905

7 0
3 years ago
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