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3 years ago

5

A right rectangular prism has a length of 10 centimeters, a width of 2.5 centimeters and a height of 0.9 centimeters what is the

wolume of the rectangular prism?

1 answer:

nikdorinn [45]3 years ago

7 0

Answer:

$\boxed{ \bold{ \huge{ \boxed{ \sf{22.5 \: {cm}^{3} }}}}}$

Step-by-step explanation:

Given,

Length of a rectangular prism ( l ) = 10 cm

Width of a rectangular prism ( w ) = 2.5 cm

Height of a rectangular prism ( h ) = 0.9 cm

Volume of a rectangular prism ( V ) = ?

<u>Finding </u><u>the</u><u> </u><u>volume</u><u> </u><u>of</u><u> </u><u>a</u><u> </u><u>rectang</u><u>ular</u><u> </u><u>prism</u>

$\boxed{ \bold{ \sf{volume \: of \: a \: rectangular \: prism = lwh}}}$

$\dashrightarrow{ \sf{volume = 10 \times 2.5 \times 0.9}}$

$\dashrightarrow{ \sf{volume = 22.5 \: {cm}^{3} }}$

Hope I helped!

Best regards! :D

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Ford and GM pick up trucks are being tested for fuel efficiency, which is commonly measured in miles per gallon (mpg). The fuel

lina2011 [118]

Answer:

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Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

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$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Subtraction of normal variables:

When we subtract normal variables, the mean is the subtraction of the means, and the standard deviation is the square root of the sum of the variances.

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This means that $\mu_{F} = 20, \sigma_{F} = 3$

The fuel efficiency of GM trucks is found to follow a normal distribution with mean 24 mpg and standard deviation of 4 mpg.

This means that $\mu_{G} = 24, \sigma_{G} = 4$

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This is the probability that the subtraction of ford by gm is less than 0. First, we find the mean and the standard deviation.

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This probability is the pvalue of Z when X = 0. So

$Z = \frac{X - \mu}{\sigma}$

$Z = \frac{0 - (-4)}{5}$

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