The penalty in that case was just around $4 million.
$4 mil/$43 mil = .093 %
Answer: $150
Explanation:
Based on the information given in the question, the journal entry provided will be:
Debit Customer $1500
Credit Account Payable (Apple) $1350
Credit Commission income/Revenue $150
Therefore, the revenue that Amazon will recognize for the sale of one MacBook Pro is $150.
Answer:
PV= $2,749,494
Explanation:
Giving the following information:
Cash flow= $200,000
Number of periods= 25
Interest rate= 5.25%
<u>First, we need to calculate the future value using the following formula:</u>
FV= {A*[(1+i)^n-1]}/i
A= annual cash flow
FV= {200,000* [(1.0525^25) - 1]} / 0.0525
FV= $9,881,102.14
<u>Now, the present value:</u>
PV= FV/(1+i)^n
PV= 9,881,102.14 / (1.0525^25)
PV= $2,749,494
<span>This is a de-marketing strategy through ads, which are assumed to be digital ads. The assumption is that the digital ad would reach the target audience of teenagers to discourage smoking. This type of marketing campaign shows the tobacco company in a 'responsible' light to the consumer. By discouraging underage use, the consumer can assume that this must be a good company and is honest in their marketing.</span>
Because only young adults were sampled, undercoverage bias may cause the newspaper to overestimate the proportion of all adults who have college debts.
<h3><u>What is bias in sampling?</u></h3>
When a sample is chosen in statistics, sampling bias is a bias that causes some individuals of the target population to have a lower or greater sampling probability than others. As a result, not every person or event was equally likely to have been chosen, resulting in a biased sample of a population (or non-human variables).
If this is not taken into consideration, results may be incorrectly attributed to the sampling procedure rather than the phenomenon being studied. Although some people identify sampling bias as a distinct sort of prejudice, sampling bias is typically categorized as a subtype of selection bias, sometimes referred to as sample selection bias.
Learn more about sampling bias with the help of the given link:
brainly.com/question/11094051
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