Answer:
The correct answer here is d.
Explanation:
Real wage is the nominal wages adjusted for price changes. It reflects the purchasing power earned by the workers.
There will be a direct and positive relationship between real wages and number of workers who are willing to work. This means when there is an increase in the real wages, more workers will be willing to work because they will be earning more. Reverse will be the situation in case of reduced real wages.
Explanation:
Looking from a fair point of view, the White owners of businesses have legitimate reasons to feel that the Act constitutes illegal reverse discrimination.
Remember, reverse discrimination implies an unfair treatment of the majority group (White owners) in an effort to please the minority group. This is evident from the fact that the 10 percent of all federal grants to be released by the Economic Development Administration was only to be used to purchase services or supplies from businesses owned and controlled by U.S. citizens belonging to one of six minority groups excluding the White business owners; making the White owners feel discriminated against.
Thus, unintentionally the Act became a reverse discrimination on White business owners.
Answer:
Last Fiscal Year:
Interest Expense = $5550
Current Fiscal Year:
Interest Expense = $11100
Explanation:
According to the accrual basis of accounting, the expenses and revenues relating to a certain period should be recorded in that particular period whether of not they have been received. The fiscal year of Kieso ends on 31 December and as the loan was taken one month prior to the start of the current fiscal year, it was taken at the start of December of last fiscal year.
This means that the interest expense on loan relating to last December will be charged to the last fiscal year and the interest expense relating to January and February will be charged to the current fiscal year. The interest expense amount will be calculated as follows,
Last Fiscal Year = 740000 * 9% * 1/12 => $5550
Current Fiscal Year = 740000 * 9% * 2/12 => $11100
A pretexter is a person who calls your bank or other financial institution pretending to be you or someone else who is authorized on the account.
What is pretexting?
- Pretexting is the act of creating and using an invented scenario (the pretext) to engage a targeted victim in a manner that increases the chance the victim will divulge information or perform actions that would be unlikely in ordinary circumstances.
- An elaborate lie, it most often involves some prior research or setup and the use of this information for impersonation (e.g., date of birth, Social Security number, last bill amount) to establish legitimacy in the mind of the target.
- As a background, pretexting can be interpreted as the first evolution of social engineering, and continued to develop as social engineering incorporated current-day technologies. Current and past examples of pretexting demonstrate this development.
- This technique can be used to fool a business into disclosing customer information as well as by private investigators to obtain telephone records, utility records, banking records and other information directly from company service representatives.
- The information can then be used to establish even greater legitimacy under tougher questioning with a manager, e.g., to make account changes, get specific balances, etc.
- Pretexting can also be used to impersonate co-workers, police, bank, tax authorities, clergy, insurance investigators or any other individual who could have perceived authority or right-to-know in the mind of the targeted victim.
- The pretexter must simply prepare answers to questions that might be asked by the victim. In some cases, all that is needed is a voice that sounds authoritative, an earnest tone, and an ability to think on one's feet to create a pretextual scenario.
To learn more about Pretexting: brainly.com/question/10311345
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Answer:
The average product of labor per day is 324
Explanation:
To find the average product of labor per day we need to know the total number of widgets produced divided by the worked days.
Average Product= total number of widgets /days
Monday, 10=250 widgets
Tuesday, 11=286 widgets
Wednesday, 13 =364 widgets
Thursday, 14 workers= 396 widgets
Friday, 12 workers=324 widgets
TOTAL WIDGETS= 250+286+364+396+324=1620
Days= 5 days
Average Product= 1620/5=324
