Answer:
6 salespersons
Explanation:
A histogram shows the graphical representation of the distribution of numerical data using bars of different lengths.
From the histogram:
The number of salespersons who sold 11 - 12 packages = 1
The number of salespersons who sold 13 - 14 packages = 2
The number of salespersons who sold 15 - 16 packages = 3
Therefore the new agents who sold more than 10 vacation packages = 1 + 2 + 3 = 6 salespersons
Answer:
D.
Explanation:
PERT and CPM are network planning techniques.
PERT means Program Evaluation and Review Technique.
CPM means Critical Path Method.
The six steps more common to PERT and CPM are:
-Define the project and identify each activity.
-Develop relationships among the activities.
-Draw the network connecting all of the activities.
-Adding time and/or cost estimates to each activity.
-Compute the longest time path through the network. This is called the critical path.
-Use the network to help plan, schedule, monitor and control the project.
His employing i dont know just guess and hope you get it right
A financial plan is more influenced by economic factors, values, goals and the current scenario.
<h3 /><h3>What is a financial plan?</h3>
It corresponds to a personal or organizational strategy to achieve financial goals through planning for the use of financial resources. Factors that influence financial planning are mastery of finance, social well-being, financial inclusion and financial literacy.
Therefore, financial planning is impacted by environmental and personal circumstances that will affect resource allocation needs to achieve goals and objectives.
Find out more about financial plan here:
brainly.com/question/4701276
#SPJ1
Answer:
The correct answer is genetic algorithms
Explanation:
Genetic Algorithms are adaptive methods that can be used to solve search and optimization problems. They are based on the genetic process of living organisms. Throughout the generations, populations evolve in nature according to the principles of natural selection and the survival of the strongest, postulated by Darwin (1859).
By imitating this process, Genetic Algorithms are able to create solutions for real-world problems. The evolution of these solutions towards optimal values of the problem depends to a large extent on their adequate codification.
