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natima [27]
4 years ago
13

When would you need to arrange polynomials

Mathematics
1 answer:
Elza [17]4 years ago
4 0
Please let me know if this helped or rate it the brainlist!

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4+(-4)=0 what property is this?
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Zero property

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We are making a equation equal 0

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b). (0, 4)

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The blue dot is at what value on the number line?
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Step-by-step explanation:

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3 years ago
A company manufactures a brand of lightbulb with a lifetime in months that is normally distributed with mean 3 and variance 1. A
Ratling [72]

Answer:

The smallest number of bulbs to be purchased so that the succession of bulbs produces light for at least 40 months with probability at least 0.9772 is 16.

Step-by-step explanation:

Solving a quadratic equation:

Given a second order polynomial expressed by the following equation:

ax^{2} + bx + c, a\neq0.

This polynomial has roots x_{1}, x_{2} such that ax^{2} + bx + c = a(x - x_{1})*(x - x_{2}), given by the following formulas:

x_{1} = \frac{-b + \sqrt{\Delta}}{2*a}

x_{2} = \frac{-b - \sqrt{\Delta}}{2*a}

\Delta = b^{2} - 4ac

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

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.

n values from a normal distribution:

The mean is \mu n and the standard deviation is s = \sigma\sqrt{n}

A company manufactures a brand of lightbulb with a lifetime in months that is normally distributed with mean 3 and variance 1.

This means that \mu = 3, \sigma = \sqrt{1} = 1

For n bulbs:

The distribution for the sum of n bulds has \mu = 3n, \sigma = \sqrt{n}

What is the smallest number of bulbs to be purchased so that the succession of bulbs produces light for at least 40 months with probability at least 0.9772?

We want that: S_{n} \geq 40 = 0.9772.

This means that when X = 40, Z has a pvalue of 1 - 0.9772 = 0.0228, that is, when X = 40, Z = -2. So

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

-2 = \frac{40 - 3n}{\sqrt{n}}

-2\sqrt{n} = 40 - 3n

3n - 2\sqrt{n} - 40 = 0

Using y = \sqrt{n}

3y^2 - 2y - 40 = 0

Which is a quadratic equation with a = 3, b = -2, y = -40

\Delta = b^{2} - 4ac = (-2)^2 - 4(3)(-40) = 484

y_{1} = \frac{-(-2) + \sqrt{484}}{2*3} = 4

y_{2} = \frac{-(-2) - \sqrt{484}}{2*3} = -...

Since y and n have both to be positive:

y = \sqrt{n}

\sqrt{n} = 4

(\sqrt{n})^2 = 4^2

n = 16

The smallest number of bulbs to be purchased so that the succession of bulbs produces light for at least 40 months with probability at least 0.9772 is 16.

4 0
3 years ago
What’s the answer????
FromTheMoon [43]

Answer:Domar range x

Step-by-step explanation:

4 0
1 year ago
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