Write an equation for the following situation

Mathematics

2 answers:

AlladinOne [14]2 years ago

4 0

Answer:

y(x) = 4 salads + (3 salads/hour)x

Step-by-step explanation:

We start with the initial value of this function, y(0), which is 4 salads. To this quantity we add 3 salads per hour of work, using x to represent the number of hours. In summary, we have:

y(x) = 4 salads + (3 salads/hour)x

Example: after 2 hours the number of salads made is 4 salads plus (3 salads/hour)(2 hours). or y(2) = 4 salads + 6 salads = 10 salads.

kondaur [170]2 years ago

3 0

Y=3x+4

(y) equals the total salads made. In order to figure this out, you would have to add the 4 salads already made plus the 3 salads being made each hour for however many hours they are making them. Since we don’t know how many hours they are making them, we use (x).

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In 1999 there were 1647 daily and 7471 weekly newspapers published in the United States, as well as X other kinds of newspapers.

kompoz [17]

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3 years ago

For the graph of the function, identify the axis of symmetry, vertex and the formula for the function.

snow_tiger [21]

We know that this is a parabola, as the equation is denoted by the x^2 term.

We can see that the symmetry is seen at the point -0.5, therefore making the axis of symmetry the vertical line -0.5.

The vertex is found in quadrant three. In other words, it will shift by a negative value both horizontally and vertically. The vertex is therefore (-0.5, -0.5).

We can verify this in the equations by using the formula (-b/2a) to find the vertex. The only quadratic equation that satisfies this is -2x^2 + 2x -1.

To sum it up, the answers are:

-2x^2 + 2x - 1.

AoS: x = -0.5

Vertex: (-0.5, -0.5).

7 0

2 years ago

Dorothy Little purchased a mailing list of 2,000 names and addresses for her mail order business, but after scanning the list sh

amm1812

Answer: c. 0.0778

Step-by-step explanation:

Let X is the number of non-authentic names in her sample with parameter :

n= 5 and p=40% = 0.40

Binomial probability distribution, the probability of getting success in x trials :-

$P(X=x)=^nC_xp^x(1-p)^{n-x}$