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Akimi4 [234]
3 years ago
5

Y=4x-2 y= 3x+1? What’s the (x,y)?

Mathematics
2 answers:
erik [133]3 years ago
8 0
Idk this cause my teacher. Any teach
Lunna [17]3 years ago
8 0

Answer:

simplify 4(y/3 - 1/3) - 2

y = 4y/3 - 10/3

x = y/3 - 1/3

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What is y = 2x + 5 and y = 2x +5<br> y = 2(3)+5=<br> x =
Hatshy [7]

Answer: X = 11

Step-by-step explanation:

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What is the mean? Round to<br> one decimal place.<br> 1,6,2,7,9
Viefleur [7K]

Answer:

5

Step-by-step explanation:

The mean represents an average of all the numbers, so we have \frac{sum-of-all-numbers}{total-amount-of-numbers}. Although that may seem confusing, it's actually pretty easy.

We have a total of five numbers, which are 1, 6, 2, 7, and 9.

We add these numbers up to find the sum, so 1 + 6 + 2 + 7 + 9 = 25

So our final answer will be \frac{25}{5} which can be simplified to 5.

3 0
3 years ago
I need this answer following the order of operation. Please help!
natita [175]

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The answer to the question provided is 1.

8 0
3 years ago
State whether the slope of the line is positive, negative, zero or undefined.
Shkiper50 [21]

That flat horizontal line has zero slope.    There's no change in y for every unit change in x.

7 0
4 years ago
Read 2 more answers
In a call center that stays open all the time, calls arrive as a poisson process with a mean rate of 0.3 complaints per hour.(a)
DENIUS [597]

The probability the 51st call arriaves within 150hours is 0.0431, the probability the next call arrives within the next 2 hours 0.5488, the probability the sum of these 50 numbers is less than 356 is 0.4165.

Data;

  • Mean rate = 0.3
  • x = 50
  • standard deviation = ?

<h3>Poission Rule</h3>

Using poission formula,

P(x=x) = \frac{e^-^\lambda - \lambda^x}{x!}\\\lambda = 0.3 per minute

Let's substitute the values into the formula.

For 50 calls in 150 hours

For 150 hours = x = 0.3 * 150 = 45

p(x=50) = \frac{e^-^4^5 * 45^5^0}{50!} = 0.0431

b)

The probability the next call arrives after 2 hours.

\lambda = 0.3 * 2 = 0.6\\p(x=0) = \frac{e^-^0^.^6 * 0.6^0}{0!} = 0.5488

c)

The number of calls recieved each day is recorded for 50 consecutive days.

for 50 days;

\lambda = 0.3 * 50 * 24 = 360

The mean = 360

The standard deviation is given as

S.D = \sigma =\sqrt{360} = 18.974\\

The probability the sum of these 50 number is less than 356 is

p = (x < 356) = z = \frac{356 - 360}{18.974} = -0.2108\\p(z < -0.2108) = 0.4165

Learn more on poission formula here;

brainly.com/question/7879375

3 0
2 years ago
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