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Troyanec [42]
3 years ago
13

Como lo puedo resolver?? √64 =

Mathematics
1 answer:
ELEN [110]3 years ago
7 0

Answer:

8

Step-by-step explanation:

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What is 100 divided by 21
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100 divided by 21 is 4.7619047619 what can round to be 4.76
7 0
3 years ago
If the tree grows an additional 10 feet, what is the new angle of
avanturin [10]

Answer:

  B)  47.1°

Step-by-step explanation:

The tangent relation is useful here.

  Tan = Opposite/Adjacent

The original height of the tree is the side of the triangle that is opposite the angle of elevation:

  Opposite = Adjacent × Tan

  original height = (25 ft)×tan(34°) ≈ 16.863 ft

__

After growing an additional 10 ft, the tree has a height of ...

  16.863 ft + 10 ft = 26.863 ft

Then the angle of elevation is found from ...

  tan(angle) = (26.863 ft)/(25 ft) ≈ 1.07451

  angle of elevation = arctan(1.07451) ≈ 47.057°

The angle of elevation to the top of the tree is about 47.1°.

6 0
2 years ago
Which test point holds true for y − 2x ≤ 1?
Ira Lisetskai [31]
2 - 2 * 0 ≤ 1 
<span>2 ≤ 1 </span>

<span>4 - 2 * (-2) ≤ 1 </span>
<span>8 ≤ 1 </span>

<span>4 - 2 * (1) ≤ 1 </span>
<span>2 ≤ 1 </span>

<span>0 - 2 * 5 ≤ 1 </span>
<span>-10 ≤ 1 </span>
<span>(TRUE</span>
3 0
3 years ago
How many solutions does the nonlinear system of equations graphed below
fomenos

Answer:

Step-by-step explanation:

If this is the graph then the answer is two!

3 0
3 years ago
Read 2 more answers
The average time a subscriber spends reading The Wall Street Journal is 49 minutes (The Wall Street Journal Subscriber Study). A
erica [24]

Answer:

P(X>60)=P(\frac{X-\mu}{\sigma}>\frac{60-\mu}{\sigma})=P(Z>\frac{60-49}{16})=P(z>0.6875)

And we can find the probability with the complement rule and the normal standard distirbution and we got:

P(z>0.6875)=1-P(z

Step-by-step explanation:

Let X the random variable that represent the time spent reading of a population, and for this case we know the distribution for X is given by:

X \sim N(49,16)  

Where \mu=49 and \sigma=16

We are interested on this probability

P(X>60)

And we can use the z score formula given by:

z=\frac{x-\mu}{\sigma}

Using this formula we got:

P(X>60)=P(\frac{X-\mu}{\sigma}>\frac{60-\mu}{\sigma})=P(Z>\frac{60-49}{16})=P(z>0.6875)

And we can find the probability with the complement rule and the normal standard distirbution and we got:

P(z>0.6875)=1-P(z

5 0
3 years ago
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