Answer: 0 units
Explanation:
Future Planned Production Orders = Expected goods requirement - Finished goods in inventory - Schedule production
= 550 - 450 - 150
= -50 units
Include no units because the finished goods and the scheduled production make up the requirement for the period.
Answer: Upselling
Explanation:
Upselling is a customer development strategy whereby the customers are encouraged to buy an upgraded or higher end version of a particular product. Upselling therefore results in the customers spending more than what they initially planned for and this bring about increase in revenue to the company.
Therefore, the customer development strategy exemplified by JetBlue is Upselling.
Answer: It can be deduced that it's unethical for your employees to use their work computers for personal activities?
Explanation:
What is ethics?
It should be noted that ethics simply means the principle of knowing what is right from what is wrong.
In this case, it's unethical for your employees to use their work computers for personal activities. This isn't appropriate.
Furthermore, it's ethical for you to monitor computer usage. This is necessary to checkmate the activities of the employees.
Answer:
The options for this question are the following:
a. 1
b. 2
c. 0.5
d. 1.5
The correct answer is a. 1
.
Explanation:
Group analysis or grouping is the task of grouping a set of objects in such a way that the members of the same group (called a cluster) are more similar, in some sense or another. It is the main task of exploratory data mining and is a common technique in the analysis of statistical data. It is also used in multiple fields such as machine learning, pattern recognition, image analysis, information search and retrieval, bioinformatics, data compression and graphic computing.
Group analysis is not in itself a specific algorithm, but the task pending solution. Clustering can be done using several algorithms that differ significantly in your idea of what constitutes a group and how to find them efficiently. Classical group ideas include small distances between members of the group, dense areas of the data space, intervals or particular statistical distributions. Clustering, therefore, can be formulated as a multi-objective optimization problem. The appropriate algorithm and the values of the parameters (including values such as the distance function to use, a density threshold or the number of expected groups) depend on the set of data analyzed and the use that will be given to the results. Grouping as such is not an automatic task, but an iterative process of data mining or interactive multi-objective optimization that involves trial and failure. It will often be necessary to pre-process the data and adjust the model parameters until the result has the desired properties.
