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Setler [38]
3 years ago
8

In the coordinate plane, quadrilateral ABCD has vertices with coordinates A(1,−1), B(−5,3), C(−3,6), and D(3,2). ​ ​Part A: Comp

ute the lengths of the sides of quadrilateral ABCD.
Mathematics
1 answer:
weqwewe [10]3 years ago
3 0

The lengths are AB 2\sqrt{13} cm, BC \sqrt{13} cm, CD 2\sqrt{13} cm and DA \sqrt{13} cm

Step-by-step explanation:

Given,

The vertices of quadrilateral are A(1,-1), B(-5,3), C(-3,6) and D(3,2)

To find the lengths of the sides of ABCD

Formula

The length of two points (x1,y1) and (x2,y2) is \sqrt{(x1-x2)^{2} +(y1-y2)^{2} }

So,

AB ⇒\sqrt{(1+5)^{2} +(-1-3)^{2} } cm = \sqrt{52} cm = 2\sqrt{13} cm

BC ⇒\sqrt{(-5+3)^{2}+(3-6)^{2}  } cm = \sqrt{13} cm

CD ⇒\sqrt{(-3-3)^{2} +(6-2)^{2} } cm = \sqrt{52} cm = 2\sqrt{13} cm

DA ⇒\sqrt{(3-1)^{2}+(2+1)^{2}  } cm = \sqrt{13} cm

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Hello Again!

What you want to do first is add 4 to -4 and to -13. After doing so, you'll equation will look a little something like this...

-3x=9

You'll then want to divide both -3 and 9 by -3. After doing so, the equation will look like this...

x=-3

Your answer is x=-3

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Data collected at Toronto Pearson International Airport suggests that an exponential distribution with mean value 2725hours is a
Ivan

Answer:

a) What is the probability that the duration of a particular rainfall event at this location is at least 2 hours?

We want this probability"

P(X >2) = 1-P(X\leq 2) = 1-(1- e^{-0.367 *2})=e^{-0.367 *2}= 0.48

At most 3 hours?

P(X \leq 3) = F(3) = 1-e^{-0.367*3}= 1-0.333 =0.667

b) What is the probability that rainfall duration exceeds the mean value by more than 2 standard deviations?

P(X > 2.725 + 2*5.540) = P(X>13.62) = 1-P(X

What is the probability that it is less than the mean value by more than one standard deviation?

P(X

Step-by-step explanation:

Previous concepts

The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate). It is a particular case of the gamma distribution". The probability density function is given by:

P(X=x)=\lambda e^{-\lambda x}

The cumulative distribution for this function is given by:

F(X) = 1- e^{-\lambda x}, x\ geq 0

We know the value for the mean on this case we have that :

mean = \frac{1}{\lambda}

\lambda = \frac{1}{Mean}= \frac{1}{2.725}=0.367

Solution to the problem

Part a

What is the probability that the duration of a particular rainfall event at this location is at least 2 hours?

We want this probability"

P(X >2) = 1-P(X\leq 2) = 1-(1- e^{-0.367 *2})=e^{-0.367 *2}= 0.48

At most 3 hours?

P(X \leq 3) = F(3) = 1-e^{-0.367*3}= 1-0.333 =0.667

Part b

What is the probability that rainfall duration exceeds the mean value by more than 2 standard deviations?

The variance for the esponential distribution is given by: Var(X) =\frac{1}{\lambda^2}

And the deviation would be:

Sd(X) = \frac{1}{\lambda}= \frac{1}{0.367}= 2.725

And the mean is given by Mean = 2.725

Two deviations correspond to 5.540, so we want this probability:

P(X > 2.725 + 2*5.540) = P(X>13.62) = 1-P(X

What is the probability that it is less than the mean value by more than one standard deviation?

For this case we want this probablity:

P(X

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The answer is C (-3, -5), D(1,-5)
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