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dusya [7]
3 years ago
6

Complete the square for the following quadratic equation to determine its solutions and the location of its extreme value

Mathematics
1 answer:
Likurg_2 [28]3 years ago
8 0

Answer:

Option C. x = -2,6  extreme value at (2.16)

Step-by-step explanation:

we have

y=-x^2+4x+12

This is the equation of a vertical parabola open down

The vertex is a maximum (extreme value)

Convert the equation into vertex form

y=-x^2+4x+12

Complete the square

Group terms that contain the same variable and move the constant term to the left side

y-12=-x^2+4x

Factor -1

y-12=-(x^2-4x)

Remember to balance the equation by adding the same constants to each side.

y-12-4=-(x^2-4x+4)

Rewrite as perfect squares

y-16=-(x-2)^2

y=-(x-2)^2+16 -----> equation of the parabola in vertex form

The vertex is the point (2,16) ----> is a maximum (extreme value)

Determine the solutions of the quadratic equation

For y=0

0=-(x-2)^2+16

(x-2)^2=16

square root both sides

(x-2)=(+/-)4

x=2(+/-)4

x=2(+)4=6

x=2(-)4=-2

therefore

The solutions are x=-2 and x=6

The extreme value is (2,16)

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A charity receives 2025 contributions. Contributions are assumed to be mutually independent and identically distributed with mea
uysha [10]

Answer:

The 90th percentile for the distribution of the total contributions is $6,342,525.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For sums of size n, the mean is \mu*n and the standard deviation is s = \sqrt{n}*\sigma

In this question:

n = 2025, \mu = 3125*2025 = 6328125, \sigma = \sqrt{2025}*250 = 11250

The 90th percentile for the distribution of the total contributions

This is X when Z has a pvalue of 0.9. So it is X when Z = 1.28. Then

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

By the Central Limit Theorem

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

1.28 = \frac{X - 6328125}{11250}

X - 6328125 = 1.28*11250

X = 6342525

The 90th percentile for the distribution of the total contributions is $6,342,525.

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Answer:

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Step-by-step explanation:

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