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LiRa [457]
3 years ago
13

Irene además de 4 pantalones y 6 camisetas tiene 3 gorras cuántas indumentarias de pantalón camiseta gorra puede llevar​

Mathematics
1 answer:
Sidana [21]3 years ago
3 0

Answer:

jsjJHzhhzhahahahjsjsjsj hajajsjjsjsjsjjjsjajjajsjzjzjzjsjsjsjjsjsnsjsnjsjsn

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Graph the equation
Lisa [10]
To find the root, replace y with 0
X^2-12x+35=0
A=1 B=-12 C=35
B^2-4ac=(-12)^2 -4(1)(35)
=144 -140
=4


x=(-b+/- square root of b^2 -4ac) /over/ (2a)
Plug in the numbers
x=-(-12) sqr (-12)^2 4(1)(35) / (2)(1)
X=12 +/-sqr 4 / 2
Positive outcome
x=12 + sqr 4 / 2
x=12+2/2
x=7 <— this one
Negative outcome
x=12-2i/2
x=6-i
Vertex: (6,-1)
8 0
2 years ago
What is the solution to the equation below?
MakcuM [25]

Answer:

X=4

Step-by-step explanation:

The solution is in the file

5 0
2 years ago
Read 2 more answers
The measure of the vertex angle of an isosceles triangle is 92. Find the measure of a base angle
Andrej [43]

Answer:

44°

Step-by-step explanation:

The sum of the angles in a triangle = 180°

In an isosceles triangle the base angles are equal, thus

base angle = \frac{180-92}{2} = \frac{88}{2} = 44°

6 0
3 years ago
Using compatible numbers to find each quotient. 18.2 divided by 11
UNO [17]
It is 166 just do some side math if you can and I think youtline get it ok but that's what I got if someone eles gets somthing eles matey listen to them
5 0
3 years ago
A population has a standard deviation of 5.5. What is the standard error of the sampling distribution if the sample size is 81?
VladimirAG [237]

Answer:

\sigma = 5.5

And we have a sample size of n =81. We want to estimate the standard error of the sampling distribution \bar X and for this case we know that the distribution is given by:

\bar X \sim N(\mu ,\frac{\sigma}{\sqrt{n}})

And the standard error would be:

\sigma_{\bar x}= \frac{\sigma}{\sqrt{n}}

And replacing we got:

\sigma_{\bar x}=\frac{5.5}{\sqrt{81}}= 0.611

Step-by-step explanation:

For this case we know the population deviation given by:

\sigma = 5.5

And we have a sample size of n =81. We want to estimate the standard error of the sampling distribution \bar X and for this case we know that the distribution is given by:

\bar X \sim N(\mu ,\frac{\sigma}{\sqrt{n}})

And the standard error would be:

\sigma_{\bar x}= \frac{\sigma}{\sqrt{n}}

And replacing we got:

\sigma_{\bar x}=\frac{5.5}{\sqrt{81}}= 0.611

4 0
3 years ago
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