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3 years ago

13

Mandy wants her decking for barbeques to at least fit 6 people. her scale is 2 centimeters for every 1 meter. how big would her

decking be to be able to fit 6 people?

1 answer:

Sladkaya [172]3 years ago

6 0

How many meters fit in 1 person?!

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(K-10) divided by 2 = -7<br><br> What’s the answer for the variable k?

stira [4]

Answer:

k = -4

Step-by-step explanation:

(k - 10)/2 = -7

First: multiply by 2 to get rid of the denominator

2(k - 10)/2 = 2(-7)

k - 10 = -14

Next: add 10 to both sides to isolate k

k - 10 + 10 = -14 + 10

k = -4

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4 years ago

Breanna thought of a number, added 6 to it, multiplied it by 6, subtracted 6 from her answer, and then divided it by 6. She got

ss7ja [257]

Answer:5

Step-by-step explanation:

If you look at the question in reverse you can backtrack your way through. Take 10 and instead of dividing, multiply it by 10, which is 60, add 6 instead of subtracting, which is 66, divide by 6 instead of multiplying, which is 11 and finally subtract 6 instead of adding, which is 5. Use five and try the question over to make sure you calculated correct.

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3 years ago

2x+8=y if x=6 then what is the value of y?

Norma-Jean [14]

Answer:

20

Step-by-step explanation:

If x = 6 the problem should look like this:

2 (x) + 8 = y -> place the 6 where x is.

2 (6) + 8 = y -> remember () means to multiply.

2 times 6 , add 8 , equals y

12 + 8 =y -> 12 +8 equals 20

20 = y

I hope this helps!!

7 0

2 years ago

Math problem 0.08 - 0.59x = .1619

Nat2105 [25]

Answer:

x=0.0819/0.59

Step-by-step explanation:

gjskjfk

7 0

4 years ago

Assume that BK Call Center receives 2 phone calls in one hour on average. If the department works 10 hours a day receiving the c

MrMuchimi

Using the Poisson distribution, the probabilities are given as follows:

A. 0.0888 = 8.88%.

B. 0.1354 = 13.54%.

C. 0.8646 = 86.46%.

<h3>What is the Poisson distribution?</h3>

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by:

$P(X = x) = \frac{e^{-\mu}\mu^{x}}{(x)!}$

The parameters are:

x is the number of successes

e = 2.71828 is the Euler number

$\mu$ is the mean in the given interval.

Item a:

10 hours, 2 calls per hour, hence the mean is given by:

$\mu = 2 \times 10 = 20$ .

The probability is P(X = 20), hence:

$P(X = x) = \frac{e^{-\mu}\mu^{x}}{(x)!}$

$P(X = 20) = \frac{e^{-20}20^{20}}{(20)!} = 0.0888$

Item b:

1 hour, hence the mean is given by:

$\mu = 2$

The probability is P(X = 0), hence:

$P(X = x) = \frac{e^{-\mu}\mu^{x}}{(x)!}$

$P(X = 0) = \frac{e^{-2}2^{0}}{(0)!} = 0.1354$

Item c:

The probability is:

$P(X \geq 1) = 1 - P(X = 0) = 1 - 0.1354 = 0.8646$

More can be learned about the Poisson distribution at brainly.com/question/13971530

#SPJ1

5 0

2 years ago