Answer:
cyclical unemployment.
Explanation:
Unemployment that results because the number of jobs available in some labor markets may be insufficient to give a job to everyone who wants one is called cyclical unemployment.
Answer:
The answer is True.
Explanation:
A decision tree, usually, always begins with a single node and then branches into possible outcomes. Each of these results creates additional nodes, which branch into other established possibilities. This gives a shape similar to that of a tree.
8.35=8
Any decimal point below 5 is rounded down; above 5 is rounded up
Ex: 10.6=11
Hope this helps!
Ryan is debating how to allocate the IMC budget for his new ski equipment store. He knows having knowledgeable salespeople in his store can simplify buyers' purchase decisions. He should also consider that, compared to other IMC alternatives, personal selling is
A) ineffective.
B) overrated.
c) easy.
D) simple.
E) expensive.
Answer:
A) ineffective
Explanation:
Personal selling has to do with marketing that is done by a salesman from the sale of a product/service from the manufacturer to the consumer.
The seller or salesman tries to promote his product through their attitude, appearance, manners and expert knowledge, They try to encourage the customer to buy the product, or at the very least, try the product.
IMC means Integrated Marketing Communications which makes sure that all forms of communications and messages regarding marketing and sales are carefully linked together.
Compared to IMC alternatives, personal selling is ineffective.
Answer:Yes
Explanation:
Pooled data occur when there is a time series of different cross sections with each observations not necessarily from the same unit while Panel data is sample from the same units. The main difference between them is the "units". The units can be countries, households, schools or other things we are collating data on.
In pooled cross section, random samples from different time periods and from different units are taken e.g. we can take data on number of females and males in schools A, B and C in 2020 and schools X, Y and Z in 2023.
In pure panel data, we are using the same units e.g we can take data on genders in schools A, B and C in 2020 and collect data from the same schools in 2023. Therefore the main difference is just the units we observe.