Answer:
2017 = ($6,400)
2018 = $4,800
Explanation:
The effect of the exchange rate fluctuations on reported income in 2017 and in 2018 is shown below:-
Particulars Amount
Purchased widgets 20,000
Purchased price 8
Total inventory 160,000
(20,000 × 8)
Total inventory at Dec 1,2017 $70,400
(160,000 × $0.44)
Total inventory at Dec 31,2017 $76,800
(160,000 × $0.48)
Foreign exchange gain/(loss)
at reporting date ($6,400)
($70,400 - $76,800)
Total inventory at March 1, 2018 $72,000
(160,000 × $0.45)
Foreign exchange gain/(loss)
when payment is made
on March 1, 2018 $4,800
($76,800 - $72,000
)
So, the Foreign exchange loss in 2017 is ($6,400) and the Foreign exchange gain in 2018 is $4,800
<span>Alice had original amount = $12,450. She earned an interest of $622.50 on the original amount. To find the percent, say, $622.50 = x% of $12,450, we get x% = 0.05 or x = 5%. Thus, Alice earned approximately 5% of the interest.</span>
Answer:
Efficient frontier analysis closely resembles a graphic system that breaks down risk performance and will show three levels. The return or investment of low, medium and high risk can help in the decision-making process. EFA reminds me of one of my favorite TV shows, Shark Tank. In Shark Tank you will see "sharks" or investors who choose to invest in a company, usually new companies, and often these investments have a high risk, but they could also have a high rate of return. As with most things, there are some limitations with the use of an efficient border analysis. A common limitation for EFA is the lack of reality that the return will always follow a distribution flow. EFA is not an exact science; It is difficult to identify and disaggregate. Stocks are a good example of EFA limitation. Investment actions are difficult to predict and preserve because there is a lot of unpredictability in the stock market.
NOTE: Explanation is in the answer.
Answer:
The options are listed below:
A. neuromarketing
B. panel data
C. biometrics
D. data mining
E. data warehousing
The correct option is D. Data mining
Explanation:
Data mining, or knowledge discovery from data (KDD), can be defined as the process whereby trends, common themes or patterns are uncovered in big data.
In other words, we can define data mining as the process that is used in extracting usable data from a larger set of raw data. It implies the analysis of data patterns in large batches of data using one or more software.
As we can see in the scenario presented above, Jeffrey's Muffins utilized the buying patterns of the customers over a 15-year period in order to decide on a new promotional campaign.
Answer:
Concept: Business Administration
- By definition the shrink it and pink it is a method employed by marketing to create a curated color that appeals to the women eye and also retroactively fits their figure and stature.
- Arguably, the strategy is <u>effective</u><u> </u>in principle as it attracts more women buyers that would have otherwise skipped over the said sport apparel. It curated a line of clothing that suits them and makes them feel included. The principle of inclusiveness is a driving factor in this strategy which inherently has increased the sales of women apparel.