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vivado [14]
3 years ago
15

A planet follows an elliptical path described by 256 x squared plus 16 y squared equals 4096.256x2+16y2=4096.  A comet follows t

he parabolic path y equals x squared minus 16.y=x2−16.  Where might the comet intersect the orbiting​ planet?
Mathematics
1 answer:
stiv31 [10]3 years ago
4 0

Answer:

(0, -16); (4, 0); (-4, 0)

Step-by-step explanation:

planet path is described by: 256x² + 16y² = 4096

comet path is described by: y = x² - 16

When the comet intersect the orbiting​ planet both will have the same (x,y) coordinates. Replacing one path into the other one, we get:

256x² + 16(x² - 16)² = 4096

256x² + 16(x^4 - 32x² + 256) = 4096

256x² + 16x^4 - 512x² + 4096 = 4096

16x^4 - 256x² = 0

x²(16x² - 256) = 0

x = 0 (double root)

or

16x² - 256 = 0

x² = 256/16

x² = 16

x = 4

or

x = -4

Then:

y = 4² - 16 = 0

y = (-4)² - 16 = 0

y = 0 - 16 = -16

So, the points are: (0, -16); (4, 0); (-4, 0)

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Assume the random variable X has a binomial distribution with the given probability of obtaining a success. Find the following p
drek231 [11]

Answer:

P(X=14)=(18C14)(0.8)^{14} (1-0.8)^{18-14}=0.2153

P(X=15)=(18C15)(0.8)^{15} (1-0.8)^{18-15}=0.2297

P(X=16)=(18C16)(0.8)^{16} (1-0.8)^{18-16}=0.1722

P(X=17)=(18C17)(0.8)^{17} (1-0.8)^{18-17}=0.0811

P(X=18)=(18C18)(0.8)^{18} (1-0.8)^{18-18}=0.0180

And adding the values we got:

P(X \geq 14)= 0.2153 +0.2297+0.1722+0.0811+0.0180=0.7164

Step-by-step explanation:

Assuming this question: P(X≥14), n=18, p=0.8

Previous concepts  

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".  

Solution to the problem

Let X the random variable of interest, on this case we now that:  

X \sim Binom(n=18, p=0.8)  

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

And we want this probability:

P(X \geq 14) = P(X=14) +P(X=15) +P(X=16)+P(X=17)+P(X=18)

And we can find the individual proabilities using the probability mass function:

P(X=14)=(18C14)(0.8)^{14} (1-0.8)^{18-14}=0.2153

P(X=15)=(18C15)(0.8)^{15} (1-0.8)^{18-15}=0.2297

P(X=16)=(18C16)(0.8)^{16} (1-0.8)^{18-16}=0.1722

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P(X=18)=(18C18)(0.8)^{18} (1-0.8)^{18-18}=0.0180

And adding the values we got:

P(X \geq 14)= 0.2153 +0.2297+0.1722+0.0811+0.0180=0.7164

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