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blondinia [14]
3 years ago
13

What is 11kx+13kx=6 solve for the x

Mathematics
1 answer:
Art [367]3 years ago
3 0
11kx + 13kx = 6
24kx = 6
x  = 6 / 24k = 1 / 4k  Answer
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Help please True or false 15=11m. <br><br> if m=4?
DedPeter [7]

Answer:

False

Step-by-step explanation:

If F=4 that means 11 x 4 = 44 and 15 does not equal 44.

6 0
3 years ago
$22,000 divided by 18%
slavikrds [6]

18% = 18/100 = 0,18

22000/0,18 = 22000/(18/100) = (22000 . 100)/18 = 1100000/9 = 122222,2222...

So $22,000 divided by 18% is equal to $122.222,22

6 0
3 years ago
Read 2 more answers
Please help, I’ll mark brainiest
diamong [38]

The translation is 5 up and 5 to the right

8 0
4 years ago
4. How many seconds will it take an echo to reach your ears if you yell toward a mountain
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3 years ago
3.- In a certain desert region the average number of persons who become seriously ill each year from eating a certain poisonous
Naily [24]

Answer:

P(X\geq 5)=1-P(X

Using the pmf we can find the individual probabilities like this:

P(X=0)=\frac{e^{-6.4} 6.4^0}{0!}=0.001662

P(X=1)=\frac{e^{-6.4} 6.4^1}{1!}=0.010634

P(X=2)=\frac{e^{-6.4} 6.4^2}{2!}=0.034029

P(X=3)=\frac{e^{-6.4} 6.4^3}{3!}=0.072595

P(X=4)=\frac{e^{-6.4} 6.4^4}{4!}=0.116151

And replacing we got:

P(X \geq 5) =0.76493

Step-by-step explanation:

Previous concepts

Let X the random variable that represent the number of people that will become sereiosly ill in two years. We know that X \sim Poisson(\lambda)

The probability mass function for the random variable is given by:

f(x)=\frac{e^{-\lambda} \lambda^x}{x!} , x=0,1,2,3,4,...

And f(x)=0 for other case.

For this case the value for \lambda would be:

\lambda = 3.2 \frac{ills}{year} *2 years = 6.4

For this distribution the expected value is the same parameter \lambda

E(X)=\mu =\lambda

On this case we are interested on the probability of having at least two chocolate chips, and using the complement rule we have this:

P(X\geq 5)=1-P(X

Using the pmf we can find the individual probabilities like this:

P(X=0)=\frac{e^{-6.4} 6.4^0}{0!}=0.001662

P(X=1)=\frac{e^{-6.4} 6.4^1}{1!}=0.010634

P(X=2)=\frac{e^{-6.4} 6.4^2}{2!}=0.034029

P(X=3)=\frac{e^{-6.4} 6.4^3}{3!}=0.072595

P(X=4)=\frac{e^{-6.4} 6.4^4}{4!}=0.116151

And replacing we got:

P(X \geq 5) =0.76493

7 0
3 years ago
Read 2 more answers
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