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kkurt [141]
2 years ago
5

Find the locus of a point P which moves so that the sum of squares of squares of its distance A(3,0)and B(-3,0) is 4 times the d

istance between A and B​
Mathematics
1 answer:
Sonbull [250]2 years ago
3 0

Based on the calculations, the equation for the locus of these points is equal to x² + y² = 9.

<h3>How to find the locus of a point?</h3>

First of all, we would determine the distance between points A and B as follows:

Distance = √[(x₂ - x₁)² + (y₂ - y₁)²]

Distance = √[(-3 - 3)² + (0 - 0)²]

Distance = √[-9² + 0]

Distance = √81

Distance = 9.

Four (4) times the distance between points A and B​ is given by:

Distance = 9 × 4

Distance = 36.

Translating the word problem into a mathematical expression, we have:

a² + b² = 36

Also, from the distance formula we have:

a = √[(h + 3)² + (k - 0)²]

a² = h² + 6h + 9 + k²    

Similarly, b² is given by:

b = √[(h - 3)² + (k - 0)²]

b² = h² - 6h + 9 + k²

Equating the equations, we have:

a² + b² = 36

h² + 6h + 9 + k² + h² - 6h + 9 + k² = 36

2h² + 2k² = 36 - 18

2h² + 2k² = 18

Dividing both sides by 2, we have:

h² + k² = 9   ⇒ x² + y² = 9.

Read more on locus of a point here: brainly.com/question/23824483

#SPJ1

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Let
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B = event that the student has a part-time job
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We want to find out P(A|B) which is "the probability of getting event A given that we know event B is true". This is a conditional probability

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Convert this to a percentage to get roughly 36.67% and this rounds to 37%

Final Answer: 37%

4 0
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Dennis_Churaev [7]
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Step-by-step explanation:

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Answer:

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Step-by-step explanation:

Let <em>X</em> = number of students arriving at the 10:30 AM time slot.

The average number of students arriving at the 10:30 AM time slot is, <em>λ</em> = 3.

A random variable representing the occurrence of events in a fixed interval of time is known as Poisson random variables. For example, the number of customers visiting the bank in an hour or the number of typographical error is a book every 10 pages.

The random variable <em>X</em> is also a Poisson random variable because it represents the fixed number of students arriving at the 10:30 AM time slot.

The random variable <em>X</em> follows a Poisson distribution with parameter <em>λ</em> = 3.

The probability mass function of <em>X</em> is given by:

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Compute the probability of <em>X</em> = 2 as follows:

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