Answer:
Answer for the question:
Harry's competitive math team has been ranked the number one team for the past 40 days. His team competes in a math competition at least once per day and competes in no more than 60 competitions in these 40 days. Show that there is some day $i$ and some day $j$ such that between $i$ and $j$, exactly 19 matches have been played.
is given in the attachment.
Explanation:
This is a quote taken from To Kill a Mocking Bird. Dolphus wanted Scout to understand the situation by looking stepping back and be able to see a better picture of the town. Scout was still young and immature to know about the situation.
<u>Solution and Explanation:</u>
The given data is as follows:
Error rate = 4%, per hour payment of inspector = $8, inspection of units = at the rate of 49 per hour, cost = $9 per unit
The problem can be solved as considering an opportunity to have an improvement of 4% in the quality.
In case inspector is not hired then it will cost .04 multiply 9= $.3.6 per unit and in case the inspector is hired it will cost $ 0.163 approx.(8 divided by 49).
Therefore, on comparison, it is recommended to hire the inspector.
Answer:
a single firm producing a product for which there are no close substitutes.
Explanation:
A pure monopoly is a single supplier having a market or industry i.e. defined. The firm should be considered as an industry also in this there is no competitor or any subsitution existed. It can be arise at the time when the market share of the one firm is more than 90%
So as per the given situation, the above represent the answer
In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product. Optimization of process parameters is one of the ways to achieve desired quality of a part.
In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product.
Optimization of process parameters is one of the ways to achieve desired quality of a part. Finite Element Method (FEM) and machine learning techniques are applied to evaluate and optimize AM process parameters. While FEM requires specific information, Powder Bed Fusion Machine Learning is based on big amounts of data. This paper provides a conceptual framework on combination of mathematical modelling and Machine Learning to avoid these issues.
Learn more about Powder Bed Fusion here
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