After implementing a solution to a given work related problem the manager should evaluate the outcome of the solution
Explanation:
A manager should have leadership qualities where he or she is in charge of the entire group of people in the industry and is responsible for any mistakes or errors caused by the employees.
He or she should know how to tackle and provide solutions to a problem that is being faced by the company.
A manager should be a good role model for his/her subordinates and encourage them in solving their problems by themselves.
Answer:
b. 116
Explanation:
The calculation of Consumer Price Index is shown below:-
CPI = ((Base year basket quantities × current year price) ÷ (Base year basket quantities × Base year prices)) × 100
= ((50 × $1.50) + (100 × $1.10)) ÷ ((50 × $1.20) + (100 × $1.00)) × 100
= (185 ÷ 160) × 100
= 115.6
0r 116
So, for computing the consumer price index for 2018 we simply applied the above formula.
Below are the complete options:
changing beliefs about the extent to which a brand has certain attributes
encouraging the consumer to use stimulus generalization
adding new attributes to the product
encouraging the consumer to use stimulus discrimination
changing the importance of attributes
Answer:
changing the importance of attributes
Explanation:
Freshness dates shows for how long a drink can be considered to not have expired. For example Pepsi can be considered to give freshness from 6-9 months after the date printed on the bottle.
Pepsi spent about $25 million on advertising and promotion related to freshness dates. Initially freshness dates were only seen as important by a few people.
This resulted in 61 percent of cola drinkers now thinking it is important.
This exemplifies how importance of a product's attribute can be changed
The most effective and appropriate way to determine the likelihood of this happening is to: stay informed, keep up with the news
Such considerations include understanding of:
the reasons for and objectives of sampling.
the relationship between accuracy and precision.
the reliability of estimates with varying sample size.
the determination of safe sample sizes for surveys.
the variability of data.
