Can anyone please help me answer this Math Question ? Soon as possible !

Mathematics

1 answer:

Oduvanchick [21]2 years ago

6 0

Using proportions, it is found that Monique must pay $115 on her own.

<h3>What is a proportion?</h3>

A proportion is a fraction of total amount.

In this problem, for Monique bill, we consider that:

She has a $1,000 deductible, hence $1,000 is removed from the bill, which is now of $350, as 1350 - 1000 = 350.

She has a 10% co-pay after the deductible, hence 0.1 x 350 = $35 is deducted from the bill, which is now of $315, as 350 - 35 = 315.

She has already spent $200 on approved health care costs this year, which is also deducted, and the bill will be of $115, as 315 - 200 = 115.

You can learn more about proportions at brainly.com/question/24372153

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Ahh could i get sum help?

S_A_V [24]

Answer:

8/35 cubic inches

Step-by-step explanation:

Volume is length x width x height. To find the answer, we must multiply all values together. 2/3 times 3/5 ix 6/15. Let's simplify this before multiplying further. 6/15 can also be written as 2/5. 2/5 times 4/7 is 8/35 which cannot be simplified. 8/35 is the final answer.

6 0

3 years ago

Suppose the lifetime, in years, of a motherboard is modeled by a Gamma distribution with parameters α=80 and λ=4. Use the Centra

timurjin [86]

Answer:

Therefore there's a 99.99% probability the motherboard of your new computer will last for at least 15 years.

Step-by-step explanation:

This is the general idea to solve the problem.

Suppose that the mean and variance of the your distribution are . $\mu , \sigma$ respectively. Then, according to the problem you are looking for the probability.

$P(X \geq 15) = 1 - P(X$

Consider then the following random variable.

$T = X_1 + X_2 + .... + X_{14}$

Using the central limit theorem $T$ distribution will be close to normal, and its mean and variance will be $14\mu , 14\sigma$ , respectively. Therefore you just have to find the probability that a normally distributed random variable with that mean and that variance which I just mentioned is less than 14.