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ale4655 [162]
3 years ago
15

Geometry help!! ignore the work I have its wrong xoxoxxoxoxo

Mathematics
2 answers:
gulaghasi [49]3 years ago
6 0
The answer is D why?

Area of equilateral triangle is: A= square root of 3/4 ^ a square.

a = 9 square
a = 81

so it is :                Square root of 3 ^ 81 / 4 
                             
 That means:               81/4 ^ square root of 3.
       Got it?







alekssr [168]3 years ago
3 0
A = (√3)/4 x s²
s = 9

A = (√3)/4 x 9²
A = (√3)/4 x 81
A = (81√3)/4
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Answer:

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Step-by-step explanation:

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3 years ago
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Dahasolnce [82]

Answer:

P(5.5

And we can find this probability using the normal standard distribution or excel and we got:

P(-2.769

Step-by-step explanation:

For this case we assume the following complete question: "The pucks used by the National Hockey League for ice hockey must weigh between 5.5 and 6 ounces. Suppose the weights of pucks produced at a factory are normally distributed with a mean of 5.86 ounces and a standard deviation of 0.13ounces. What percentage of the pucks produced at this factory cannot be used by the National Hockey League? Round your answer to two decimal places. "

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

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

X \sim N(5.86,0.13)  

Where \mu=5.86 and \sigma=0.13

We are interested on this probability

P(5.5

And the best way to solve this problem is using the normal standard distribution and the z score given by:

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

If we apply this formula to our probability we got this:

P(5.5

And we can find this probability using the normal standard distribution or excel and we got:

P(-2.769

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