Answer:
For example, testing all applicants and using results from that test that will unintentionally eliminate certain minority applicants disproportionately is disparate impact. For example, testing a particular skill of only certain minority applicants is disparate treatment.
Explanation:
Answer:
<u>Related constrained; operational relatedness</u>
Explanation:
<u>Related constrained:</u> In business, the term "relatedness constrained" is described as a strategy through which a specific firm tend to share activities and resources between its various businesses. However, less than 70% "revenue" is being acquired through dominant business and every business shares similar product, distribution and technological images.
<u>Operational relatedness:</u> The term "operational relatedness" is described as one of the different ways of diversification strategy and creates value. It generally shares different activities between various businesses.
In the question above, the given statement represents related constrained and operational relatedness.
Y is attempting to reach the following stakeholders through its research information:
Primary stakeholders: Primary stakeholders involve beneficiaries or the target of the efforts. These are the people who are involved in or the participants in a particular organization or they can be the residents of a particular geographical area or they can be a particular type of people community.
Secondary stakeholders: these are those people who are not directly involved but they are involved in connection to the primary stakeholders such as doctors, social workers, schools and their employees means those persons whose jobs and works get effected by the process or result of the effort.
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Answer:
federal student loans and private loans.
Explanation:
Answer:
Learning curve theory states that as the quantity of a product produced increase , the man-hours per unit expended producing the product decrease.
Explanation:
The learning curve states that if a person performs similar task again and again, then after a period of time there will be an improvement in his/her performance.
It is calculated using following formula.
Y = ax^b
.
Y = cumulative average time per unit or batch.
a = time taken to produce initial quantity.
X = the cumulative units of production or, if in batches, the
cumulative number of batches.
b = the learning index or coefficient, which is calculated as:
log learning curve percentage ÷ log 2. So b for an
90 per cent curve would be log 0.9 ÷ log 2 = – 0.152