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damaskus [11]
3 years ago
12

In which career would you most likely apply concepts from geometry?

Mathematics
2 answers:
sladkih [1.3K]3 years ago
8 0

Answer: Construction and Engineering

zheka24 [161]3 years ago
3 0
contruction and engineering
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If i make 10 fruit baskets and want to sell them for $35 each 10=35x what's my answer
ivolga24 [154]

You made a teeny mistake! Instead of 10=35x, it should be (35)(10)=x; so in this case, you would make $350 from 10 fruit baskets.

8 0
3 years ago
If a third plane could be drawn which contains both lines a and b, then what must the lines be?
Akimi4 [234]
The line a and line b are parallel to each other since if you draw another line or a third plane and it contains both points both in line a and in line b it means that this third plane passes through to the both lines a and b.  In order to achieve both lines a and b can be passed by the third plane, they should be parallel to each other.
7 0
3 years ago
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Select ALL values that are in the solution set of this inequality.
Ray Of Light [21]

Answer:

the answer for this questions is A) D) E)

8 0
3 years ago
The area of a rectangle is 54 ft?, and the length of the rectangle is 3 ft more than twice the width. Find the dimensions of the
nikklg [1K]

Answer:

prim

Step-by-step explanation:

3 0
3 years ago
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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