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Maru [420]
3 years ago
12

Write the standard equation for the ellipse with the given conic form.

Mathematics
1 answer:
Andrei [34K]3 years ago
6 0

We complete the square


4 x^2 + y^2 - 16x + 2y  + 13 = 0


4 x^2 - 16x +  y^2 + 2y  = -13


4 (x^2 - 4x) +  (y^2 + 2y)  = -13


4 (x^2 - 4x + 4) +  (y^2 + 2y  +1 )  = -13 +16 + 1


4 (x - 2)^2 +  (y+1)^2 = 4


\dfrac{ (x - 2)^2 }{1^2} + \dfrac{ (y+1)^2}{2^2} = 1


That's standard form with axes 1 and 2



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Suppose your heart beats 70 times a minute. How long would it take for it to beat 1 million times?
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Answer:

14285.7142857

Step-by-step explanation:

1 mil divided by 70= 14285.7142857

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Ralph is 3 times as old as Sara. In 6 years, Ralph will be only twice as old as Sara will be then. Find Ralph's age now. If x re
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A nutrition laboratory tested 25 "reduced sodium" hotdogs of a certain brand, finding that the mean sodium content is 310 mg wit
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Answer:

The  95% confidence interval is  295.9 < \mu< 324.1

A   95% level of confidence mean that there is 95%  chance  that the true population mean will be in this interval

Step-by-step explanation:

From the question we are told that

    The sample size is  n  =  25

    The mean is  \= x  =  310 \ mg

     The standard deviation is  \sigma =  36 \ mg

Given that the confidence level is  95% then the level of significance is mathematically represented as

           \alpha  =  100 - 95

=>        \alpha  =  5\%

=>        \alpha  =  0.05

Next we obtain the critical value of  \frac{\alpha }{2} from the normal distribution table , the value is  

           Z_{\frac{\alpha }{2} } =Z_{\frac{0.05 }{2} }  =  1.96

Generally the margin of error is mathematically represented as

        E =  Z_{\frac{\alpha }{2} } *  \frac{\sigma }{\sqrt{n} }

substituting values

        E =  1.96 *  \frac{36 }{\sqrt{25} }

        E = 14.1

The 95% level of confidence interval  is mathematically represented as

      \= x - E < \mu

substituting values

     310- 14.1 < \mu< 310+ 14.1

     295.9 < \mu< 324.1

The  95% level of confidence mean that there is 95%  chance  that the true population mean will be in this interval

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