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ivann1987 [24]
3 years ago
11

Miller Nolan

Mathematics
1 answer:
alisha [4.7K]3 years ago
4 0
The answer is $40 dollars
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What is the measure of ZP, to the<br> nearest degree?<br> O 44°<br> O 46°<br> 0 58°<br> 0 72°
sasho [114]

Answer:

44

Step-by-step explanation:

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6 0
3 years ago
Help me on this Geometry question "Finding angle measures using triangles".<br>​
vladimir1956 [14]
X is 63 degrees!
It is equal to the angle marked 63 degrees (angles in that arrangement are always equal)
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3 years ago
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Find the Volume. Use pi=3.14. Round to the nearest hundredth.
aleksandr82 [10.1K]
<h2>Volume = 4.19 inches³</h2>

<u>Step-by-step explanation:</u>

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= 4/3 × 3.14 × 1³

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4 0
3 years ago
P(a)=0.50 p(b)=0.30 and p(a and b)=0.15 what is p(a or b)
Softa [21]

Answer:

Option C is correct

P(A or B) = 0.65

Step-by-step explanation:

<u>Given: </u>

P(A) =0.5

P(B)=0.30

P(A and B) =0.15

( The probability of the happening of both independent events will be there product) P( A and B ) =P(A).P(B)

<u>Solution:</u>

To find the probability  of the Happening of event A either event B  we will use the following formula

P(A or B) = P(A) + P(B)-P(A and B)

                  = 0.5 + 0.3 - 0.15

                  =0.65

6 0
3 years ago
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A professor pays 25 cents for each blackboard error made in lecture to the student who pointsout the error. In a career ofnyears
marta [7]

Answer:

(a) The probability that <em>Y</em>₂₀ exceeds 1000  is 3.91 × 10⁻⁶.

(b) <em>n</em> = 28.09

Step-by-step explanation:

The random variable <em>Y</em>ₙ is defined as the total numbers of dollars paid in <em>n</em> years.

It is provided that <em>Y</em>ₙ can be approximated by a Gaussian distribution, also known as Normal distribution.

The mean and standard deviation of <em>Y</em>ₙ are:

\mu_{Y_{n}}=40n\\\sigma_{Y_{n}}=\sqrt{100n}

(a)

For <em>n</em> = 20 the mean and standard deviation of <em>Y</em>₂₀ are:

\mu_{Y_{n}}=40n=40\times20=800\\\sigma_{Y_{n}}=\sqrt{100n}=\sqrt{100\times20}=44.72\\

Compute the probability that <em>Y</em>₂₀ exceeds 1000 as follows:

P(Y_{n}>1000)=P(\frac{Y_{n}-\mu_{Y_{n}}}{\sigma_{Y_{n}}}>\frac{1000-800}{44.72})\\=P(Z>  4.47)\\=1-P(Z

**Use a <em>z </em>table for probability.

Thus, the probability that <em>Y</em>₂₀ exceeds 1000  is 3.91 × 10⁻⁶.

(b)

It is provided that P (<em>Y</em>ₙ > 1000) > 0.99.

P(Y_{n}>1000)=0.99\\1-P(Y_{n}

The value of <em>z</em> for which P (Z < z) = 0.01 is 2.33.

Compute the value of <em>n</em> as follows:

z=\frac{Y_{n}-\mu_{Y_{n}}}{\sigma_{Y_{n}}}\\2.33=\frac{1000-40n}{\sqrt{100n}}\\2.33=\frac{100}{\sqrt{n}}-4\sqrt{n}  \\2.33=\frac{100-4n}{\sqrt{n}} \\5.4289=\frac{(100-4n)^{2}}{n}\\5.4289=\frac{10000+16n^{2}-800n}{n}\\5.4289n=10000+16n^{2}-800n\\16n^{2}-805.4289n+10000=0

The last equation is a quadratic equation.

The roots of a quadratic equation are:

n=\frac{-b\pm\sqrt{b^{2}-4ac}}{2a}

a = 16

b = -805.4289

c = 10000

On solving the last equation the value of <em>n</em> = 28.09.

8 0
3 years ago
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