Weighted Shortest Job First gives preference to jobs with characteristics such as, first, the size of the project (smaller is better) Second, the value of the project (higher is better).
In order to determine a relative ranking, Weighted Shortest Job First (WSJF) uses a technique for assigning a weight, or value, to each job, and then by dividing that by the length of the job. It also gives preference to jobs with characteristics such as the size and value for a project.
Weighted Shortest Job First is a prioritization model used to sequence jobs eg., capabilities, features, and epics in order to produce maximum economic benefit.
Hence, WSJF prefers such characteristics.
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Answer: dishonesty and dependence.
Explanation:
Answer:
a) Y = 500
b) Wages: 2.5
Rental price: 2.5
c) labor Share of output: 0.370511713 = 37.05%
Explanation:

if K = 100 and L = 100


Y = 500
wages: marginal product of labor = value of an extra unit of labor
dY/dL (slope of the income function considering K constant while L variable)





With K = 100 and L = 100

Y' = 2.5
rental: marginal product of land = value of an extra unit of land
dY/dK (slope of the income function considering K variable while L constant)



L = 100 K = 100

Y' = 2.5
c) we use logarithmic properties:



50 was the land while 10 the labor
2.698970004 = 1.698970004 + 1
share of output to labor: 1/2.698970004 = 0.370511713
If the new hires had not been adequately trained to make use of the system. This is an example of fundamental attribution bias.
<h3>What is fundamental attribution bias?</h3>
Fundamental attribution bias can be defined as the way in which a person judge another person without considering the situation factors.
Based on the giveing scenario Paulina is using fundamental attribution bias on the new employ by ignoring the reason why the new hire did not use the company's expert software system.
Therefore this is an example of fundamental attribution bias.
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