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3 years ago

Evaluate the expression

Mathematics

2 answers:

agasfer [191]3 years ago

5 0

Solution :

$\hookrightarrow \: - { \bigg( \dfrac{1}{9} \bigg) }^{3}$

$\hookrightarrow \: - \dfrac{1}{729}$

Brrunno [24]3 years ago

5 0

Answer:

-1/729

Step-by-step explanation:

${- ( \frac{1}{9})}^{3} \\ = - ( \frac{ {1}^{3} }{ {9}^{3}} ) \\ = - ( \frac{1}{729}) \\ = \frac{ - 1}{729}$

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What is the area of this parallelogram?

Alex Ar [27]

Formula for area of parallelogram:
A= bh
Where b is the length of base and h is the height.
Here b=2.3+4.5 = 6.8 cm
and h= 4.5 cm
Put values in formula.

A= 6.8 x 4.5
A=30.6 cm²

Answer: 30.6 cm²

7 0

2 years ago

My brain stopped. I need help

Alisiya [41]

Answer:

x = 99°

y = 91°

Step-by-step explanation:

For Cyclic quadrilateral, the sum of the opposite angles = 180°

Let's find x :-

x + 81° = 180°

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Let's find y :-

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Hope this helps you !

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2 years ago

Martha measures the big prize wheel on a game show and calculates that it has a circumference of 12.56 yards. What is the prize

trasher [3.6K]

The radius is 2 yards...
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Hope this helps!

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2 years ago

Human body temperatures have a mean of 98.20° F and a standard deviation of 0.62° F. Sally's temperature can be described by z =

irina1246 [14]

Answer:

Sally's temperature is 97.27 °F.

Step-by-step explanation:

All the information given in the question tells us that the human body temperatures are normally distributed with a population's mean = 98.20°F and a standard deviation = 0.62°F.

The question gives us Sally's temperature in a z-score. We have to remember that the standard normal distribution is a particular case of a normal distribution where the mean = 0 and the standard deviation = 1.

Using the standard normal distribution, we can determine every probability associated with a normal distribution "transforming" the raw scores, coming from normally distributed data, into z-scores.

A z-score gives us the distance from the population's mean and is in standard deviation units. So, a z = 1.5 tells us that the value is 1.5 standard deviations above the mean. Conversely, a z = -1.5 tells us that the raw score is also 1.5 standard deviation from the mean, but in the opposite direction, that is, below the mean.

The formula for a z-score is as follows:

$\\ z = \frac{x - \mu}{\sigma}$ (1)