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Jobisdone [24]
3 years ago
12

On Monday Ethan sends an email to 3 friends the next day each of the 3 friends forward the email to 3 friends and so on as shown

below how many people received the email by Thursday?
Mathematics
1 answer:
sergey [27]3 years ago
4 0

Answer: 12 or 9

Step-by-step explanation:

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I believe it would be 6(10^4)
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y=3x

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Anyone please???????
leva [86]

Answer:

\boxed{\sf B)\: x=\sqrt{17}}

Step-by-step explanation:

<u>Use the Pythagorean Theorem</u>

The equation for the Pythagorean Theorem is \tt a^2+b^2=c^2

* a and b are the lengths of the legs, and c is the hypotenuse.*

(To know which side is the hypotenuse look at longest side which is across the right angle).

a= x, b=8, c=9

\sf a^2+b^2=c^2

Let's Plug in the side lengths:

\sf x^2+8^2=9^2

Evaluate 8^2 and 9^2:

\sf x^2+64=81

Subtract 64 from both sides:

\sf x^2+64-64=81-64

\sf x^2=17

Take the square root of both sides:

\sf x=\sqrt{17}

___________________________

5 0
3 years ago
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A bicycle wheel has a radius of 13 inches.
Dovator [93]
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c=2pir
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6 0
3 years ago
Please help! I don't understand how to solve this problem
Ilia_Sergeevich [38]

Using the z-distribution, a sample of 142,282 should be taken, which is not practical as it is too large of a sample.

<h3>What is a z-distribution confidence interval?</h3>

The confidence interval is:

\overline{x} \pm z\frac{\sigma}{\sqrt{n}}

The margin of error is:

M = z\frac{\sigma}{\sqrt{n}}

In which:

  • \overline{x} is the sample mean.
  • z is the critical value.
  • n is the sample size.
  • \sigma is the standard deviation for the population.

Assuming an uniform distribution, the standard deviation is given by:

S = \sqrt{\frac{(4 - 0)^2}{12}} = 1.1547

In this problem, we have a 95% confidence level, hence\alpha = 0.95, z is the value of Z that has a p-value of \frac{1+0.95}{2} = 0.975, so the critical value is z = 1.96.

The sample size is found solving for n when the margin of error is of M = 0.006, hence:

M = z\frac{\sigma}{\sqrt{n}}

0.006 = 1.96\frac{1.1547}{\sqrt{n}}

0.006\sqrt{n} = 1.96 \times 1.1547

\sqrt{n} = \frac{1.96 \times 1.1547}{0.006}

(\sqrt{n})^2 = \left(\frac{1.96 \times 1.1547}{0.006}\right)^2

n =  142,282.

A sample of 142,282 should be taken, which is not practical as it is too large of a sample.

More can be learned about the z-distribution at brainly.com/question/25890103

#SPJ1

8 0
1 year ago
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