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
Answer:
17.76%
Explanation:
The computation of the time-weighted return on your investment is given below
But before that we have to do the following calculations
Year 1 = ($46.50 - $42.50) + 2 ÷ ($42.50) × 100 = 14.12%
Year 2 = ($54.50 - $46.50) + 2 ÷ ($46.50) × 100 = 21.51%
Now the time weighted return is
(1 + t)^2 = (1 + 14.12%) × (1 + 21.51%)
= 1.1412 × 1.2151
= √1.3867 - 1
= 17.76%
The statement that must be true about the demand for a product if it is inelastic is that, a price increase does not have a significant impact on buying habits. The correct answer would be option B. When the demand is inelastic, this situation means that the demand for a product does not decrease nor increase in corresponds to the rise or fall of its price.
Answer: $305
Explanation:
The avoidable production cost for Chris to produce one mini long board goes thus:
Unit Level Cost = $280
Add: Product Level Cost = $25,000 / 1000 units = $25
Then, the avoidable cost to produce one unit will be:
= $280 + $25
= $305
Answer:
option (C) 32,750 hours
Explanation:
Data provided in the question:
Actual manufacturing overhead cost = $250,000
Overapplied overhead = $12,000
Predetermined overhead rate = $8.00 per direct labor-hour
Now,
The total Manufacturing Overhead applied last year
= Actual manufacturing overhead cost + Overapplied overhead
= $250,000 + $12,000
= $262,000
Therefore,
Direct Labor Hours worked last year = 
or
= 
= 32,750 hours
Hence,
The correct answer is option (C) 32,750 hours
