The diagram which shows the parallelogram method for vector addition is shown in the image attached below.
In this scenario, let the two (2) vectors representing the two (2) adjacent sides of a parallelogram in both magnitude and direction drawn from a common point be:
The parallelogram law of vector addition states that if two (2) vectors
and
represent the two (2) adjacent sides of a parallelogram in both magnitude and direction drawn from a common point, then their sum
or resultant vector (
) is equal to the diagonal of the parallelogram passing through that point in both magnitude and direction.
Therefore, the diagram which shows the parallelogram method for vector addition is shown in the image attached below.
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Answer:
14
Explanation:
A=pi × r²
153.86 = 3.14 × r²
Divide both sides of the equation by 3.14
it becomes:
r²=153.86÷3.14
r²=49
taking the square root for both sides of the equation
r = 7
and
diameter = 2 × radius
diameter = 2 × 7 = 14
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The minimum production cost of company 2 is greater than the minimum production cost of company 1. We arrived at this value by comparing the production cost of both companies.
<h3>What is meant by minimum production cost?</h3>
The overall cost incurred by a company to manufacture a product or provide services is known as the cost of production.
The objective of every company is to keep this cost at minimum, hence the minimum production cost.
<h3>How do find minimum Production Cost?</h3>
Recall that the production function is given as:
f(x) = 0.25x² - 8x + 600
Inserting the values given by the schedule we have
- f(6) = 0.25(6²) - 8(6) + 600 = 561
- f(8) = 0.25(8²) - 8(8) + 600 = 552
- f(10) = 0.25(10²) - 8(10) + 600 = 545
- f(12) = 0.25(12²) - 8(12) + 600 = 540
- f(14) = 0.25(14²) - 8(14) + 600 = 537
For company 2, we are given the various production costs as;
x - g(x)
6 - 862.2
8 - 856.8
10 - 855
12 - 856.8
14 - 862.2
Juxtaposing the above, we can infer that the minimum production cost of company 2 is greater than the minimum production cost of company 1.
Learn more about minimum production cost at:
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