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Eduardwww [97]
3 years ago
5

If the equation of a circle is (x - 2)2 + (y - 6)2 = 4, it passes through point (5, 6).

Mathematics
2 answers:
N76 [4]3 years ago
8 0

Answer:

False

Step-by-step explanation:

(5-2)²+(6-6)²=3²+0=9 and not 4

Salsk061 [2.6K]3 years ago
5 0
Hello,

False

(5-2)²+(6-6)²=3²+0=9 and not 4


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Solutions to 2-variable equations
Galina-37 [17]

Answer:

B) only (-3 , 3)

Step-by-step explanation:

y = -3x - 6

(-4,4)    y = -3 x (-4) - 6 = 12 - 6 = 6   .... incorrect

(-3,3)    y = (-3) x (-3) - 6 = 9 - 6 = 3   ..... correct

8 0
3 years ago
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The price of Stock A at 9 A.M. was ​$15.03. Since​ then, the price has been increasing at the rate of ​$0.05 each hour. At noon
irina1246 [14]

After 1.842 hours the price of Stock A and Stock B will be the same using a set of linear equations.

A grouping of one or more linear equations containing the same variables is known as a system of linear equations.

For Stock A :

The initial price = $15.03

The rate of increase = $0.05

For Stock B :

The rate of decrease = $15.53

The rate of decrease per hour = $0.13

Then the price of stock A at noon will be:

$ 15.03 + $ (0.05 × 3) = $ 15.03 + $ 0.15 = $15.18

The period of time during which the stock price will remain constant:

15.18 + 0.05t = 15.53 - 0.14t

Simplifying the terms we get,

0.05t + 0.14t = 15.53 - 15.18

0.19t = 0.35

t = (0.35 ÷ 0.19) hours

t = 1.842 hours

Therefore, the stocks will be of equal price after 1.842 hours.

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3 0
1 year ago
TIMED QUIZ HALPThe table represents a linear function.
alina1380 [7]

Answer:

-6

Step-by-step explanation:

(y2-y1) / (x2-x1)

(-16-(-10)) / (2-1)

(-6) / (1)

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6 0
3 years ago
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Solve −2x2 − 16x − 44 = 0.
Mazyrski [523]
I hope this helps you

3 0
4 years ago
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Consider a binomial experiment with 15 trials and probability 0.35 of success on a single trial.
DedPeter [7]

Answer:

a

   P(X =  10 ) =  0.0096

b

   P(X = 10 ) =  0.0085

c

 Option A is correct

Step-by-step explanation:

From the question we are told that

     The sample size is   n =  15

     The  probability of success is  p =  0.35

     The number of success we are considering is  r = 10  

 

Now the probability of failure is mathematically evaluated as

        q =  1- p

substituting value

       q =  1- 0.35

       q = 0.65

Now using  the binomial distribution  to find the probability of exactly 10 successes we have that

    P(X =  r ) =  [\left n } \atop {r}} \right. ] * p^r *  q^{n- r}

substituting values

    P(X =  10 ) =  [\left 15 } \atop {10}} \right. ] * p^{10}*  q^{15- 10}

Where  [\left 15 } \atop {10}} \right. ] mean 15 combination 10  which is evaluated with a calculator to obtain  

       [\left 15 } \atop {10}} \right. ]  = 3003

So

      P(X =  10 ) =  3003 * 0.35 ^{10}*  0.65^{15- 10}

       P(X =  10 ) =  0.0096

Now using  the normal distribution to approximate the probability of exactly 10 successes, we have that

  P(X = r ) =  P( r  <  X <   r )

Applying continuity correction

          P(X = r ) =  P( r -0.5 <  X <   r +0.5)

substituting values

        P(X = 10) =  P( 10-0.5 <  X <   10+0.5)

       P(X = 10 ) =  P( 9.5 <  X <   10.5)

Standardizing  

         P(X = r ) =  P( \frac{9.5 -  \mu }{\sigma }  <  \frac{X - \mu }{\sigma }  <  \frac{10.5 - \mu}{\sigma }  )

The  where  \mu is the mean which is mathematically represented as

        \mu  =  n *  p

substituting values

        \mu  =  15 *  0.35

         \mu  =  5.25

The standard deviation is evaluated as      

     \sigma  =  \sqrt{n  *  p  * q }

substituting values

    \sigma  =  \sqrt{15   *  0.35  * 0.65 }

    \sigma  = 1.8473

Thus  

     P(X = 10 ) =  P( \frac{9.5 -  5.25 }{1.8473 }  <  \frac{X - 5.25 }{1.8473 }  <  \frac{10.5 - 5.25}{1.8473 }  )

     P(X = 10 ) =  P( 2.30 < Z <  2.842  )

     P(X = 10 ) = P(Z <  2.842 ) -  P(Z <  2.30   )

From the normal distribution table we obtain the P(Z < 2.841) as

      P(Z < 2.841) = 0.99775

And  the  P(Z < 2.30)

     P(Z < 2.30) =  0.98928

There value can also be obtained from a probability of z calculator at (Calculator dot net website)

So  

    P(X = 10) =   0.99775 - 0.98928

     P(X = 10 ) =  0.0085

Looking at the calculated values for question a and b  we see that the values are fairly different.

8 0
4 years ago
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