Answer:
$11,750
Explanation:
The computation of bad debt is shown below:-
Bad debt expense = Estimated allowance for uncollectible at the year end - Existing balance in allowance for uncollectible account credit balance
= ($314,000 × 4%) - $810
= $12,560 - $810
= $11,750
Therefore for computing the bad debt expenses we simply applied the above formula.
Answer:
19.10%
Explanation:
The computation of annual percentage rate is shown below:-
Your loan rate states if one out of ten succeeds, after five years, so the nine failure will cover, and if the Blue Angel makes 10 loans of $168,000 each and needs a return of 19.1% on its portfolio of lending, then given amount will have to be accrued after five years.
= Value × (1 + interest rate)^number of years
= $168,000 × (1 + 0.191)^5
= $168,000 × 2.396397222
= $402,594.73
Now the annual percentage rate is
= (Future value ÷ value)^1 ÷ number of years - 1
= ($402,594.73 ÷ $168,000)^1÷5 - 1
= 19.09999981
or
= 19.10%
Answer:
b. Creativity does not require discipline.
Explanation:
Front end business practice is the strategy to develop and progress business activities from customer perspective. It focusses on customer demand and then products are customized according to customer needs. Marketing efforts are placed to inform customers about the different features of the product.
Answer:
Nominal annual rate of interest(r) = 2.5% (Approx)
Explanation:
Given:
Present value (P) = $1,200
Future value (F) = $1,618.62.
Number of year = 1year = 12 months
Find:
Nominal annual rate of interest(r)
Computation:
Nominal annual rate of interest(r) = ![\sqrt[12]{\frac{1,618.62}{1,200} }-1](https://tex.z-dn.net/?f=%5Csqrt%5B12%5D%7B%5Cfrac%7B1%2C618.62%7D%7B1%2C200%7D%20%7D-1)
Nominal annual rate of interest(r) = ![\sqrt[12]{1.34885}-1](https://tex.z-dn.net/?f=%5Csqrt%5B12%5D%7B1.34885%7D-1)
Nominal annual rate of interest(r) = 0.02525
Nominal annual rate of interest(r) = 2.5% (Approx)
Answer: D. Capacity is easy to predict
Explanation:
Aggregate planning for services involves organising the business areas of companies engaging in service provision or operation companies that also provide a service.
It is generally held that demand is difficult to predict and most services can be inventoried. It is also held that labor is the most constraining resource.
However, capacity in aggregate planning for services is not easy to predict. This is because services are not standadized and are instead varied and mostly unique. Therefore knowing the capacity to give to a service becomes hard to predict.