Answer:
C. possession utility
Explanation:
The explanation can be justified by the definition of these terms.
<em>Possession utility </em>is a term used to refer the value that the company offers to the consumers if they purchase or use the product in the way that the company made it for - similar with the feature of products. In general, it is the perceived value from the products.
Meanwhile: Knowledge utility is created from the increase in knowledge of the consumers about the product. This applies to the customers. Form utility is created when there is change in the shape or forms of products. Place utility is about making goods and services accessible to the potential consumers. And price utility is about making products affordable with customers and reasonable with the value it offers.
<span>It is not necessary to build a new market supply schedule </span><span>when there is a change in the price of a good
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Answer:
$4,000 million per year
Explanation:
Calculation for what will be the cost of eliminating half of the pollution to society
Cost of eliminating = (200 per ton x 20 million tons)
Cost of eliminating = $4,000 million per year.
Therefore the cost of eliminating half of the pollution to society will be $4,000 million per year.
Answer:
This would be the loss on paper only.
Explanation:
Given investment trading securities = $143000
During the current year, the loss experienced on investment = $7300
The tax rate = 33%
However, this loss that is reported as the part of other comprehensive income would be the loss on paper only because the actual loss can be seen when the stock is sold but this unrealized loss is on paper only so there will no effect of this loss in comprehensive income.
The distribution organizes data by recording all the values observed in a sample as well as how many times each value was observed.
Data distribution is a function that provides all possible values of a variable and also quantifies their relative frequencies (probabilities of how often they occur). Distributions are considered for all populations in which the data are spread out. Another example is a pie chart showing the percentages of different substances that make up the complete object.
We divided the distributions into two categories, depending on the type of organizes data you are using. Discrete distributions for discrete data (finite results) and continuous distributions for continuous data (infinite results).
Learn more about organizes data at
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