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Andru [333]
2 years ago
7

What should your units on your base area calculations be, and why? how is this different from the units on your volume calculati

ons? explain in two to three sentences.
Mathematics
1 answer:
FrozenT [24]2 years ago
7 0

The units used for area are squared length units, where the length units are: meter, inch, feet, etc.

<h3>Which units are used for surface areas?</h3>

The units used for surface areas are length units (meters, inches, feet, etc) squared.

Why we use those? Because area is defined as the product between the two dimensions (two sides of rectangle, for example) of a figure. And these dimensions are given in length units. So if we take the product of two of these, we will get squared length units.

The difference with volume units, is that for volume we need 3 dimensions, then we will have cubed length units.

If you want to learn more about area:

brainly.com/question/24487155

#SPJ1

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Factor the algebraic expression<br><br> 18a + 15=
Feliz [49]

18a+15

making a subject of formular

a=18-15

=3

4 0
2 years ago
32% of 36 is what number?
Butoxors [25]

Answer:

11.52

Step-by-step explanation:

You switch the percent to a decimal and move the number two times to the right so for example 50 percent turns into .5 multiply .32 times 36 is 11.52

3 0
2 years ago
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1. A point at (3, 2) is rotated 180° clockwise about the origin.
luda_lava [24]
1.) (-3,-2)
2.) 8.4m^3
3.) 37.7m^3
6 0
2 years ago
A random sample of n = 9 structural elements is tested for comprehensive strength. We know the true mean comprehensive strength
irinina [24]

Answer:

Probability that the sample mean comprehensive strength exceeds 4985 psi is 0.99999.

Step-by-step explanation:

We are given that a random sample of n = 9 structural elements is tested for comprehensive strength. We know the true mean comprehensive strength μ = 5500 psi and the standard deviation is σ = 100 psi.

<u><em>Let </em></u>\bar X<u><em> = sample mean comprehensive strength</em></u>

The z-score probability distribution for sample mean is given by;

                          Z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

where, \mu = population mean comprehensive strength = 5500 psi

            \sigma = standard deviation = 100 psi

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

Now, Probability that the sample mean comprehensive strength exceeds 4985 psi is given by = P(\bar X > 4985 psi)

    P(\bar X > 4985 psi) = P( \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } } > \frac{4985-5500}{\frac{100}{\sqrt{9} } } ) = P(Z > -15.45) = P(Z < 15.45)

                                                                  = <u>0.99999</u>

<em>Since in the z table the highest critical value of x for which a probability area is given is x = 4.40 which is 0.99999, so we assume that our required probability will be equal to 0.99999.</em>

4 0
3 years ago
Neil has 3 partially full cans of white paint . They contain 1/3 gallon , 1/5 gallon and 1/2 gallon of paint. About how many pai
stepan [7]

Answer:

About 1 gallon. (32/30)

Step-by-step explanation:

First get a LCM (least common multiple) for 3, 5, and 2.

Now we have 30. Make 30 the denominator for all.

10/30

15/30

7/30

Then add them all up to get 32/30.

About 1 gallon.

4 0
3 years ago
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