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3 years ago

What is equivalent to 3x – 2y = 4?

Mathematics

1 answer:

Vinil7 [7]3 years ago

4 0

Answer:

This equation is equal to y=3/2x-2

Step-by-step explanation:

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The mass of Saturn is approximately 6 × 10^26 kg, while the mass of Mercury is approximately 3 × 10^23 kg. Which of the followin

yanalaym [24]

The right answer is:

C. The mass of Saturn is approximately two thousand times the mass of Mercury.

Step-by-step explanation:

We will find the ratio of both masses to compare them.

Given

Mass of Saturn = S = $6*10^{26}\ kg$

Mass of Mercury = M = $3 * 10^{23}\ kg$

The ratio of larger mass to smaller is:

$\frac{S}{M} = \frac{6*10^{26}}{3*10^{23}}\\= \frac{6*1000*10^{23}}{3*10^{23}}\\= 2*1000\\=2000\ times$

Hence,

The right answer is:

C. The mass of Saturn is approximately two thousand times the mass of Mercury.

Keywords: Mass, Ratio

Learn more about mass at:

#LearnwithBrainly

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3 years ago

Whether you agree with your parents or not regarding money, you should always respect and honor their decisions.

katen-ka-za [31]

Answer:

true

Step-by-step explanation:

your their child.

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3 years ago

Read 2 more answers

General Hospital has noted that they admit an average of 9 patients per hour.

serious [3.7K]

Answer:

(a) The probability that during the next hour less than 3 patients will be admitted is 0.00623.

(b) The probability that during the next two hours exactly 8 patients will be admitted is 0.00416.

Step-by-step explanation:

The complete question is: General Hospital has noted that they admit an average of 8 patients per hour.

(a) What is the probability that during the next hour less than 3 patients will be admitted?

(b) What is the probability that during the next two hours exactly 8 patients will be admitted?

The above situation can be represented through Poisson distribution as it includes the arrival rate of the pattern. So, the probability distribution of the Poisson distribution is given by;

$P(X = x) = \frac{e^{-\lambda} \times \lambda^{x} }{x!} ; x = 0,1,2,......$

Here X = Number of patients admitted in the hospital

$\lambda$ = arrival rate of patients per hour = 9 patients

So, X ~ Poisson( $\lambda$ = 9)

(a) The probability that during the next hour less than 3 patients will be admitted is given by = P(X < 3)

P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2)

= $\frac{e^{-9} \times 9^{0} }{0!} + \frac{e^{-9} \times 9^{1} }{1!} + \frac{e^{-9} \times 9^{2} }{2!}$

= $e^{-9} +(e^{-9} \times 9)+ \frac{e^{-9} \times 81}{2}$

= 0.00623

(b) Here, $\lambda = 9 \times 2$ = 18 because we have to find the probability for the next two hours and we are given in the question of per hour.