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mezya [45]
3 years ago
7

What is the value of the discriminant of the quadratic equation -2^3=-8x+8

Mathematics
1 answer:
rjkz [21]3 years ago
7 0

the value of the discriminant of the quadratic equation -2x^2=-8x+8  is D =0 .

<u>Step-by-step explanation:</u>

Here we need to find What is the value of the discriminant of the quadratic equation -2x^2=-8x+8 or , -2x^2=-8x+8 .

We know that for a quadratic equation , f(x) = ax^2+bx+c , Discriminant is :

⇒ D = b^2-4ac

Now , let's frame equation -2x^2=-8x+8  in form of  f(x) = ax^2+bx+c  :

⇒ -2x^2=-8x+8

⇒ 2x^2-8x+8=0

⇒ x^2-4x+4=0

Comparing values we get that here , a=1 , b = -4 , c = 4 . Putting these values in D = b^2-4ac :

⇒ D = (-4)^2-4(1)(4)

⇒ D =16-16

⇒ D =0

Therefore , the value of the discriminant of the quadratic equation -2x^2=-8x+8  is D =0 .

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Step-by-step explanation:

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2 years ago
Winnie poured 14 cups of water into a rectangular container measuring 13 inches by 7 inches by 6 centimeters.
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36 kg bag of cement was dropped losing one tenth of cement. How much was left in the bag of cement ?
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Answer:

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Step-by-step explanation:

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3 years ago
From a random sample of size 18, a researcher states that (11.1, 15.7) inches is a 90% confidence interval for mu, the mean leng
alexandr402 [8]

Complete Question

From a random sample of size 18, a researcher states that (11.1, 15.7) inches is a 90% confidence interval for mu, the mean length of bass caught in a small lake. A normal distribution was assumed. Using the 90% confidence interval obtain:

a. A point estimate of \mu and its 90% margin of error.

b. A 95% confidence interval for \mu.

Answer:

a

\= x  = 13.4   .   E = 2.3

b

10.7 <  \mu < 16.1

Step-by-step explanation:

From the question we are told that

  The sample size is  n = 18

  The 90% confidence interval is  (11.1, 15.7)

Generally the point estimate of  \mu is mathematically  evaluated  as

       \= x  = \frac{11.1 + 15.7 }{2}

=>    \= x  = 13.4

Generally the margin of error is mathematically evaluated  as

     E = \frac{15.7 - 11.1}{2 }

=> E = 2.3

  From the question we are told the confidence level is  90% , hence the level of significance is    

      \alpha = (100 - 90 ) \%

=>   \alpha = 0.10

Generally from the normal distribution table the critical value  of  \frac{\alpha }{2} is  

   Z_{\frac{\alpha }{2} } =  1.645

Generally the equation for the lower limit of the confidence interval is  

      \= x  -  Z_{\frac{\alpha }{2} } * \frac{s}{\sqrt{18} } = 11.1

=> 13.4   -  0.3877 s  = 11.1

=>  s = 5.932

  From the question we are told the confidence level is  95% , hence the level of significance is    

      \alpha = (100 - 95 ) \%

=>   \alpha = 0.05

Generally from the normal distribution table the critical value  of  \frac{\alpha }{2} is  

   Z_{\frac{\alpha }{2} } =  1.96

Generally the margin of error is mathematically represented as  

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

=>    E =  1.96 *  \frac{5.932}{\sqrt{18} }

=>    E =  2.7      

Generally 95% confidence interval is mathematically represented as  

      \= x -E <  \mu <  \=x  +E

=>    13.4  -  2.7  <  \mu < 13.4  +   2.7

=>    10.7 <  \mu < 16.1

3 0
3 years ago
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