Answer:
- <u>Disease Prevention</u> - One of the top goals of genetic engineering is the improvement of health.Those working in the genetics field hope that manipulating the genes of humans will one day enable science to prevent people from contracting these potentially deadly diseases. Some diseases are more likely in certain people because they have a history of the disease in the family, meaning it could be passed down and make someone predisposed to a particular illness.
- <u>Then there is,</u> Pharmaceutical Development- Genetic engineering can be used to improve the drugs available on the marketplace by making them more effective and safer. By using genetic modification scientists can make pharmaceuticals more effective than the existing versions of the medicine.
- <u>Finally, Agriculture</u> - Saving the seeds from the best looking plants to replant the following year has been a method of manual genetic selection for many years. But science has made it possible to engineer plants to produce the biggest and best fruits and vegetables possible by replacing the genes and designing plants with the most desirable traits.
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In statistics, the absolute deviation of an element of a data set is the absolute difference between that element and a given point. Typically the deviation is reckoned from the central value, being construed as some type of average, most often the median or sometimes the mean of the data set.
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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