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Neko [114]
3 years ago
9

My question is hat if an Air force combat training jet execute, a high-speed maneuver along the a path 2ysquare minus x square t

hat that is equal to 8. How close does the jet come to a town located at (3,0)? Let m denote the square of the distance from a point (x,y) on the path to (3,0) and finding the minimum value of m. What is square root m?
Mathematics
1 answer:
Ede4ka [16]3 years ago
6 0

Answer:

Step-by-step explanation:

Let the function be:

f(x, y) = 2(y^2) - x^2 = 8

Since the shortest distance is basically a straight line from point (3, 0) to

f(3, y).

2y^2 - 3^2 = 8

2y^2 = 17

y = sqrt(17/2)

So the nearest point on the planes course to the point (3,0) is (3, sqrt(17/2))

Now lets use the distance formula:

x1 = 3

y1 = 0

x2 = 3

y2 = sqrt(17/2)

=\sqrt{\left(3-3\right)^2+\left(\sqrt{\frac{17}{2}}-0\right)^2}

=\sqrt{(0)^2+(\sqrt{\frac{17}{2}})^2}

=\sqrt{(\sqrt{\frac{17}{2}})^2}

=\sqrt{\frac{17}{2} }

So m in this case is just 17/2 and the square root of m is sqrt(17/2) = 2.91547594742

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The student ticket is 200 and the adults is 550

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Assuming you don't have calculator then you want to be able to eliminate either x or y from this system. The easiest is X cause its a whole number.

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6 0
3 years ago
A film distribution manager calculates that 5% of the films released are flops. If the manager is right, what is the probability
erik [133]

Answer:

0.1357 = 13.57% probability that the proportion of flops in a sample of 572 released films would be greater than 6%

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

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes 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 a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

A film distribution manager calculates that 5% of the films released are flops.

This means that p = 0.05

Sample of 572

This means that n = 572

Mean and standard deviation:

\mu = p = 0.05

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.05*0.95}{572}} = 0.0091

What is the probability that the proportion of flops in a sample of 572 released films would be greater than 6%?

1 subtracted by the p-value of Z when X = 0.06. So

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

By the Central Limit Theorem

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

Z = \frac{0.06 - 0.05}{0.0091}

Z = 1.1

Z = 1.1 has a p-value of 0.8643

1 - 0.8643 = 0.1357

0.1357 = 13.57% probability that the proportion of flops in a sample of 572 released films would be greater than 6%

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