Answer:
The correct answer is $388,017.16
Explanation:
The assumption is that you have to save x money, that generates 0.5% a month, and that provide $2,500 monthly. The savings at second month will be (x-2500) * 1.005. At third month, the saving will be (((x - 2500) * 1.005)-2500)* 1.005. This continues until the twelfth month of the twenty fifth year. The short form of this calculations is , where C is the monthly provision (2500), i is the interest (0.5%) and t is the time (12 months per year, 25 years, 300 months). The result is .
<span>It's definitely: Global economy</span>
Answer:
Barre's sales revenue next year is $71,500
Explanation:
The estimated total sales volume for 4 quarters next year is 5,200 units which implies that in each quarter sales volume of 1300 units is expected,applying the prices as given the sales revenue next year is analyzed below:
First quarter (1300*$13) =$16,900
Second quarter(1300*$13) =$16,900
Third quarter(1300*($13+$1.5)) =$18,850
Fourth quarter(1300*($13+$1.5)) =$18,850
Total sales revenue next year $71,500
Barre's total sales revenue for next year is $71,50 having applied the price increase of $1. 5 per unit in the third and the last quarter
<span>data inconsistency
Let's look at the available options and see what makes or does not make sense.
data normalization
* Data normalization is the process of having each piece of data in the database entered only once. If you need the same data element multiple times, you put the data element into a table and each time you need that element, you make a reference to that table which holds the only copy of that piece of data. This process is used to simplify making changes to that data element. If the element changes, you make the change to a single piece of data in the database and that change is reflected everywhere else in the database that uses that element. That's not the issue with this problem, so it's a bad choice.
data accuracy
* Close, but not quite. The data in the database is accurate and does have the correct address and a correct variant of the person's name. So this isn't the right choice either.
data redundancy
* This is a problem that addressed by data normalization. And just like data normalization doesn't address this question's problem, neither does this address it. So another bad choice.
data inconsistency
* BINGO! The root issue is that minor variations in the format of a name result in what the database considers to be an unique name. And hence an unique person. This is the correct choice.
data duplication
* Another name for redundancy. So another bad choice.</span>
Answer:
$1,337,700
Explanation:
The computation of the amounts of the components of pension expense is shown below:
Service cost $78,000
Amortization of Prior Service cost $1,183,000 ($1,698,300 - $1,580,000)
Interest on PBO $157,000 ($1,517,000 ×10%)
Less: Expected return on plant assets $80,300 ($803,000 × 10%)
Pension expense $1,337,700
We simply applied the above formula so that the amount of pension expense could come