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Tju [1.3M]
3 years ago
15

Nonquantitative methods to forecast the future need for employees, usually based on the knowledge of a pool of experts in a subj

ect or an industry, is called ______ in human resource forecasting.
Business
1 answer:
AlexFokin [52]3 years ago
3 0

Nonquantitative methods to forecast the future need for employees, usually based on the knowledge of a pool of experts in a subject or an industry, is called QUALITAIVE FORECASTING in human resource forecasting.

Explanation:

  • Qualitative forecasting is an estimation methodology that uses expert judgment, rather than numerical analysis. This type of forecasting relies upon the knowledge of highly experienced employees and consultants to provide insights into future outcomes.
  • It is a statistical technique to make predictions about the future which uses numerical measures and prior effects to predict future events. These techniques are based on models of mathematics and in nature are mostly objective. They are highly dependent on mathematical calculations.
  • Qualitative forecasting is useful when there is ambiguous or inadequate data.
  • Qualitative forecasting is most useful in situations where it is suspected that future results will depart markedly from results in prior periods, and which therefore cannot be predicted by quantitative means.
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Spartan Corporation estimates that it will incur $200,000 of total manufacturing overhead cost at an estimated activity level of
bagirrra123 [75]

Answer:

Applied manufacturing overhead is $4,000

Explanation:

Given,

Total manufacturing overhead = $200,000

Activity level = 10,000 DLH

Predetermined overhead rate = \frac{Manufacturing\ overhead\ cost}{Activity\ level}

=\frac{200,000}{10,000}

=$20

Manufacturing overhead applied = predetermined rate × time required

                                                       = 20 × 200

                                                       = $4,000

Therefore, manufacturing overhead of $4,000 is applied to the job.

3 0
3 years ago
Assume Zap industries reported the following adjusted account balances at year-end. 2019 2018 Accounts Receivable $ 1,690,200 $
Scrat [10]

Answer:

amount of Bad Debt Expense for 2019 = $92,000

Explanation:

A bad debt expense is a uncollectible receivable amount incurred on a credit sale to a customer, who is no longer able to pay the debt, due to bankruptcy or other financial problems. Companies make provision for these kind of credit losses in the allowance for doubtful accounts, and hence records the amount used from the allowance for doubtful accounts as the bad debt expense.

In our example, the allowance for doubtful account for 2019 is $92,000, hence since it was used to settle part of the credit losses, this becomes the bad debt expense.

3 0
3 years ago
Assume that you purchased a $1,000 perpetual bond (coupon payment is $50) and the interest rate on that bond declined from 5 per
Svetlanka [38]

Answer:

D) all of the above

Explanation:

First find the present value for each alternative  using PV of perpetual cashflow formula;

PV = CF / rate

CF = 50

If rate= 5%;

PV = 50/0.05 = $1,000

If rate = 2%;

PV = 50/0.02 = $2,500

With these two calculations, we see that;

-the bond price increased by $1,500

-you could sell this bond at a capital gain, meaning you can sell it a higher price that what you bought it for.

-at an interest rate of 2%, the speculative demand for money would increase

Hence , all these choices are correct!

5 0
3 years ago
If the current interest rate is 5% and your semi-annual coupon paying bond has a duration of 5.33 years, how much will the price
Serhud [2]

Answer:

Percentage change in price = -5.33 * 0.00005

Explanation:

Percentage change in price = - modified duration * (Change in yield in BP/100)

Percentage change in price = -5.33 * ((0.01/2)/100)

Percentage change in price = -5.33 * (0.005/100)

Percentage change in price = -5.33 * 0.00005

7 0
3 years ago
social media data may be considered a form of secondary data, since it is information that does not originate as a result of a m
svet-max [94.6K]

social media data may be considered a form of secondary data.

<h3>Why can we consider social media data a form of secondary data?</h3>

There are many different categories of data that may be used in data analytics. For instance, the contrast between qualitative and quantitative data is frequently used. You might also separate your data depending on aspects like sensitivity.

For instance, is it widely known or is it really private?

The source of the data is perhaps the most basic distinction between various forms of data. Are they, specifically, first-party, second-party, or third-party data? These essential data sources all contribute in some manner to the data analytics procedure.

To learn more about secondary data from given link

brainly.com/question/18118203

#SPJ4

7 0
2 years ago
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