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mixer [17]
3 years ago
14

WILL GIVE A BRAINLIEST!!

Mathematics
2 answers:
sergij07 [2.7K]3 years ago
4 0
If the vertex is at the maximum point they dy/dx=0 at that point...

dA/dx=-2x+4

dB/dx=-2x+8

dC/dx=2x-4

dD/dx=2x-8

So both B and D have a zero velocity at x=4, but only B is equal to 3 when x=4

B. is the correct quadratic with the vertex at (4,3)
scoray [572]3 years ago
3 0

Answer:

<h2>B.</h2><h2>  y=-x^{2} +8x-13</h2>

Step-by-step explanation:

We know that the vertex of the parabola is

V(4,3)

That means this points is being intercept by the parabola. In other words, the function that represents this parabola has to have this relation, when x=4, y=3.

So, you can observe that the second choice has a function that follows this relation. Let's see

y=-x^{2} +8x-13

So, for x=4

y=-(4)^{2} +8(4)-13\\y=-16+32-13\\y=3

Therefore, function B is the answer because it includes the vertex at its relation.

You might be interested in
(A) A small business ships homemade candies to anywhere in the world. Suppose a random sample of 16 orders is selected and each
Leviafan [203]

Following are the solution parts for the given question:

For question A:

\to (n) = 16

\to (\bar{X}) = 410

\to (\sigma) = 40

In the given question, we calculate 90\% of the confidence interval for the mean weight of shipped homemade candies that can be calculated as follows:

\to \bar{X} \pm t_{\frac{\alpha}{2}} \times \frac{S}{\sqrt{n}}

\to C.I= 0.90\\\\\to (\alpha) = 1 - 0.90 = 0.10\\\\ \to \frac{\alpha}{2} = \frac{0.10}{2} = 0.05\\\\ \to (df) = n-1 = 16-1 = 15\\\\

Using the t table we calculate t_{ \frac{\alpha}{2}} = 1.753  When 90\% of the confidence interval:

\to 410 \pm 1.753 \times \frac{40}{\sqrt{16}}\\\\ \to 410 \pm 17.53\\\\ \to392.47 < \mu < 427.53

So 90\% confidence interval for the mean weight of shipped homemade candies is between 392.47\ \ and\ \ 427.53.

For question B:

\to (n) = 500

\to (X) = 155

\to (p') = \frac{X}{n} = \frac{155}{500} = 0.31

Here we need to calculate 90\% confidence interval for the true proportion of all college students who own a car which can be calculated as

\to p' \pm Z_{\frac{\alpha}{2}} \times \sqrt{\frac{p'(1-p')}{n}}

\to C.I= 0.90

\to (\alpha) = 0.10

\to \frac{\alpha}{2} = 0.05

Using the Z-table we found Z_{\frac{\alpha}{2}} = 1.645

therefore 90\% the confidence interval for the genuine proportion of college students who possess a car is

\to 0.31 \pm 1.645\times \sqrt{\frac{0.31\times (1-0.31)}{500}}\\\\ \to 0.31 \pm 0.034\\\\ \to 0.276 < p < 0.344

So 90\% the confidence interval for the genuine proportion of college students who possess a car is between 0.28 \ and\ 0.34.

For question C:

  • In question A, We are  90\% certain that the weight of supplied homemade candies is between 392.47 grams and 427.53 grams.
  • In question B, We are  90\% positive that the true percentage of college students who possess a car is between 0.28 and 0.34.

Learn more about confidence intervals:  

brainly.in/question/16329412

7 0
3 years ago
How do you do this? I am really confused
german

Answer:

Step-by-step explanation:

ok, so this is an infinitly repeating function, so you can write it as:

sqrt(12-x)

Although, x is also equal to sqrt(12-x), so

x = sqrt(12-x), and

x^2 = 12-x

x^2-12+x = 0

now just apply the quadratic formula and you're good

hope i helped :D

8 0
2 years ago
Let x and y be positive integers and x be greater than y. 11x/11y =
navik [9.2K]
\frac{11x}{11y} =\frac{x}{y}
7 0
3 years ago
PLEASE HELP FAST!!!!
kakasveta [241]

Answer:

i think c. sorry if its wrong

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
10.
Delicious77 [7]

Answer:

A. 4.5

Step-by-step explanation:

According to my graphing calculator, e^1.5=4.5 which is rounded to the nearest tenth.

Answer: e^1.5 = 4.482

Step-by-step explanation:

Given:  

We need to find the value of function at x=1.5

Put x=1.5 into f(x)

Now we will verify the result using graph.

First we draw the graph of f(x) and a vertical line x=1.5

Please see the attachment for graph.

Hence, The value of  

6 0
3 years ago
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