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kakasveta [241]
3 years ago
15

The equation for a circle is x^2 + 10x + y^2 + 12y + 52 = 0

Mathematics
1 answer:
HACTEHA [7]3 years ago
8 0

(X+5)^2+(y+6)^2=61 and then to find the radius take the square root of both sides

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1/2A+N=d<br> Solve for A
ExtremeBDS [4]

Answer:

A= 1/2d -1/2N

Step-by-step explanation:

8 0
3 years ago
Find CE if AE = 8 and BC = 3. Round to the nearest tenth. AE is tangent to the circle. (Hint: May need quadratic formula)
boyakko [2]

The value of CE = 18.3

According to the statement

Here we have given the value of tangents AE = 8 and BC = 3

we have to find the value of CE and

It is given that AE is the tangent to the circle.

Now we make a equation to find the CE then

(8)^2 = 3(x+3)

In this equation the value of AE is 8. and

In this x is the value of CE and BC have value 3.

And the total value of BE becomes the 3(x+3) and 3 is the parts by which  BE is formed.

Then solve the equation

64= 3x +9

3x = 64-9

x = 18.3

So, The value of CE = 18.3

Learn more about TANGENT here brainly.com/question/17040970

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7 0
2 years ago
Helpppppppp meeeeee plsssssss
padilas [110]

Answer:

I can't fully tell u the answer because it's through a screen but I do know that it would be an obtuse angle over 90 degrees

3 0
3 years ago
Lie detectors Refer to Exercise 82. Let Y = the number of people who the lie detector says are telling the truth.
mr_godi [17]

Answer:

a) P(Y\geq 10) = PX \leq 2) = 0.558

b) E(X) = \mu_X = np = 12*0.2 = 2.4

\sigma_X = \sqrt{np(1-p)}=\sqrt{12*0.2*(1-0.2)}=1.386

E(Y) = \mu_Y = np = 12*0.8 = 9.6

\sigma_Y = \sqrt{np(1-p)}=\sqrt{12*0.8*(1-0.8)}=1.386

For this case the expected value of people lying is 2.4 and the complement is 9.6 and that makes sense since we have a total of 12 poeple.

And the deviation for both variables are the same.

Step-by-step explanation:

Assuming this previous info : "A federal report finds that lie detector tests given to truthful persons have probability about 0.2 of  suggesting that the person is deceptive. A company asks 12 job applicants about thefts from previous employers, using  a lie detector to assess their truthfulness. Suppose that all 12 answer truthfully. Let X = the number of people who the lie  detector says are being deceptive"

For this case the distribution of X is binomial X \sim N(n=12, p=0.2)And we define the new random variable Y="the number of people who the lie detector says are telling the truth" so as we can see y is the oppose of the random variable X, and the distribution for Y would be given by:[tex] Y \sim Bin (n=12,p=1-0.2=0.8)

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".

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!}

Part a

For this case we want to find this probability:

P(Y \geq 10) = P(Y=10)+P(Y=11) +P(Y=12)

And if we find the individual probabilites we got:

P(Y=10)=(12C10)(0.8)^{10} (1-0.8)^{12-10}=0.283

P(Y=11)=(12C11)(0.8)^{11} (1-0.8)^{12-11}=0.206

P(Y=12)=(12C12)(0.8)^{12} (1-0.8)^{12-12}=0.069

And if we replace we got:

P(Y \geq 10) =0.283+0.206+0.069=0.558

And for this case if we find P(X\leq 2)=P(X=0) +P(X=1)+P(X=2)  for the individual probabilites we got:

P(X=0)=(12C0)(0.2)^0 (1-0.2)^{12-0}=0.069

P(X=1)=(12C1)(0.2)^1 (1-0.2)^{12-1}=0.206

P(X=2)=(12C2)(0.2)^2 (1-0.2)^{12-2}=0.283

P(X\leq 2)=0.283+0.206+0.069=0.558

So as we can see we have P(Y\geq 10) = P(X \leq 2) = 0.558

Part b

Random variable X

For this case the expected value is given by:

E(X) = \mu_X = np = 12*0.2 = 2.4

And the deviation is given by:

\sigma_X = \sqrt{np(1-p)}=\sqrt{12*0.2*(1-0.2)}=1.386

Random variable Y

For this case the expected value is given by:

E(Y) = \mu_Y = np = 12*0.8 = 9.6

And the deviation is given by:

\sigma_Y = \sqrt{np(1-p)}=\sqrt{12*0.8*(1-0.8)}=1.386

For this case the expected value of people lying is 2.4 and the complement is 9.6 and that makes sense since we have a total of 12 poeple.

And the deviation for both variables are the same.

8 0
3 years ago
ILL GIVE BRAINLIEST Find the solution to each problem about areas!!!
Lynna [10]

Answer:

26. length=7cm  width=4cm

27. length=12cm  width=5cm

28. length=12 cm  width=9cm

29. length=7 cm

30. length=2cm

8 0
3 years ago
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