Answer:
D: Loss leading
Explanation:
Loss leading or the loss leaders is the concept where we decree the price of certain well known and popular products to such a level that customers are amazed. We even start selling that product below its cost as well. The basic logic behind loss leaders is to increase the store traffic and therefore increasing the sales. For example, if everyone is selling eggs at $2 per dozen, and you get it at $1.5 from the whole seller then you can either sell it at the same amount on which you purchasing it from the whole seller, at $1.5 or even below than this at £1.3. People knows that eggs are usually sols at $1.5 but your concept of loss leading will attract them towards your store, and besides purchasing eggs at $1.3, they will also but many other high profit margins products as well.
Answer:
Target markets are management and business students looking forward for employment and full year courses.
Explanation:
- The target market can be those who are working full time in the day and may also include the small and medium business owners that intend to provide some sort of online cloud computing set up for the college, and
- It may be the students that want to continue their higher education and pursuing a full degree. These may also include the off-campus students that are interested in doing professional courses.
Answer:
65 firms will be in the industry at the new long run equilibrium
Explanation:
in the long run the P=ATC
quantity before the change is
200 = 1000-4Q
4Q = 800
Q= 200
each firm output = Q/number of firms = 200 / 50
q = 4
new quantity is
200 = 1240-4Q
4Q = 1040
Q = 260
number of firms=new Q/q
=260/4 = 65
the number of firms is 65 in the long run.
The results are inconclusive; Therefore a generalization cannot be made regarding which option is selected more often.
What is generalization and why is it important?
The ability to carry out a task, engage in an activity, or exhibit behavior in many contexts, with various people, and at various times is known as generalization. We have "generalized" the necessary skills, which explains why we can carry out routine tasks in a range of contexts and settings.
How can generalization be improved?
Using a network that is just big enough to achieve a good fit is one way to enhance network generalization. The ability of a network to perform more complicated functions increases with network size. The network won't have the strength to overfit the data if it is tiny enough.
Learn more about network size: brainly.com/question/1825455
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