Answer:
representativeness bias
Explanation:
Representativeness bias -
It is also known as representativeness heuristic .
Heuristics refers to the use of some mental shortcuts during the process of judging or decision making .
The term representativeness heuristic was first given in the year 1970 , by psychologists Daniel Kahneman and Amos Tversky .
The use of heuristic for making any judgement by the use of comparison , is referred to as representativeness heuristic .
The process involves comparison with some predefined object or situation , with the new object or scenario , makes the process of understanding much more easier .
Hence , from the given information of the question ,
The correct term is representativeness heuristic .
Given Information:
The company that you manage has invested $5 million in developing a new product, but the development is not quite finished. At a recent meeting, your salespeople report that the introduction of competing products has reduced the expected sales of your new product to $2 million. If it would cost $1 million to finish development and make the product, should you go ahead and do so? What is the most that you should pay to complete the development?
Answer:
Yes, because the total loss would then be $3 million rather than $5 million. The most you should pay to complete the development would be $2 million.
Explanation:
Every product or service that is marketed or is related against, and competitive with, a product or service created or produced by Fiserv or manufactured or distributed. Competitive Product or Service
In the end demand for the product declines due to the exhaustion of supply and economies and new technologies and shifts in the preferences of the customer.
The projected benefit generated by the new product must be offset by the profits from expenses in the project appraisal.
Answer:
Annual demand (U) = 90.000 bags
Cost of each bag = $1.50
Inventory carrying cost per unit(C) = $1.50 × 20% = 0 30
Ordering cost per unit (O) = $15
Part A)
EOQ = 3,000
Part B)
Maximum inventory = EOQ + Safety inventory on hand
Maximum inventory = 3000 + 1000
Maximum inventory = 4.000
Part C)
Average inventory = Maximum inventory + Minimum or Safety /2
Average inventory = 4,000 + 1,000 / 2
Average inventory =2,500
Part D)
How often company order = Annual demand / EOQ
How often company order = 90,000 / 3.000
How often company order = 30
Answer:
13%
Explanation:
As per the situation the solution of required rate of return first we need to find out the beta which is shown below:-
Expected rate of return = Risk-free rate of return + Beta × (Market rate of return - Risk-free rate of return)
11% = 7% + Beta × 6%
Beta = 1
now If the market risk premium increased to 6% so,
The required rate of return = 7% + 1 × 6%
= 13%
Therefore for computing the required rate of return we simply applied the above formula.
