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3 years ago

F(x)=-x^2+6x+14 vertex

Mathematics

2 answers:

ira [324]3 years ago

8 0

4 because the demented to d dj did do. Dkdndmd hdjdjd

sasho [114]3 years ago

4 0

Answer:

Vertex: (3, 23)

Step-by-step explanation:

a = -1 b = 6 c = 14

x vertex = $\frac{-b}{2a}$

$\frac{-6}{-2}=3$

$f(x)-x^{2} +6x+14\\f(3) = -(3)^{2}+6(3) + 14 \\f(3)=-9+18+14\\f(3)=23$

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posledela

Answer:

He can use the factors of 36 to determine the number of groups he can divide the class into such that they are equal.

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3 0

3 years ago

On a platter of chicken wings there are mild wings and hot wings. In a representative sample of 10 chicken wings, there are 5 m

andreyandreev [35.5K]

Answer:

3/5 is equivalent to 54/90

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Hope this helps

Step-by-step explanation:

4 0

3 years ago

Some number was divided into 42. This quotient was then multiplied by 8,after which the resulting product was added to 10. Given

AURORKA [14]

Answer:

126

Step-by-step explanation:

In order to find the initial number, we need to create the expression that is being mentioned and solve for the initial value by applying the opposite expressions to isolate the variable.

(((x / 42) * 8) + 10) = 34 ... subtract 10 from both sides

((x / 42) * 8) = 24 ... divide both sides by 8

(x / 42) = 3 ... multiply both sides by 42

x = 126

Finally, we can see that the initial value was 126

5 0

3 years ago

Construct a 90% confidence interval for the true mean using the FPCF. (Round your answers to 4 decimal places.) The 90% confiden

mezya [45]

Answer:

The answer is below

Step-by-step explanation:

Twenty-five blood samples were selected by taking every seventh blood sample from racks holding 187 blood samples from the morning draw at a medical center. The white blood count (WBC) was measured using a Coulter Counter Model S. The mean WBC was 8.636 with a standard deviation of 3.9265. (a) Construct a 90% confidence interval for the true mean using the FPCF. (Round your answers to 4 decimal places.) The 90% confidence interval is from to

Answer:

Given:

Mean (μ) = 8.636, standard deviation (σ) = 3.9265, Confidence (C) = 90% = 0.9, sample size (n) = 25

α = 1 - C = 1 - 0.9 = 0.1

α/2 = 0.1/2 = 0.05

From the normal distribution table, The z score of α/2 (0.05) corresponds to the z score of 0.45 (0.5 - 0.05) which is 1.645

The margin of error (E) is given by:

$E=z_{\frac{\alpha}{2} }*\frac{\sigma}{\sqrt{n} }\\ \\E=1.645*\frac{3.9265}{\sqrt{25} }=1.2918$