Answer:
50 Months
Explanation:
If there is no compound interest it would be 50 Months. You would divide 250,000 by 5,000 to get the months.
Depends on the job I’m pretty sure
The answer is<u> "Whether the gift was reasonable in the circumstances."</u>
The AICPA Code of Professional Conduct is a collection of arranged articulations issued by the American Institute of Certified Public Accountants that blueprint a CPA's moral and expert responsibilities. The code builds up benchmarks for evaluator autonomy, respectability and objectivity, duties to customers and partners and acts discreditable to the bookkeeping calling. The AICPA is in charge of drafting, overhauling and reissuing the code every year, on June 1.
The adjusting entry required for unearned rent on December 31, 20Y1 is: Debit Unearned rental revenue $16,296;Credit Rental revenue $16,296.
<h3 /><h3>Unearned rent</h3>
Based on the information given the appropriate adjusting entry required for unearned rent on December 31, 20Y1 is:
31 December
Debit Unearned rental revenue $16,296
Credit Rental revenue $16,296
($39,110×5/12)
(To record unearned rent)
Inconclusion the adjusting entry required for unearned rent on December 31, 20Y1 is: Debit Unearned rental revenue $16,296;Credit Rental revenue $16,296.
Learn more about unearned rent here:brainly.com/question/4260123
Answer:
Data Preparation/Assembling Analysis
Explanation:
In the data analysis step of Market Research, the data collected in the research are put together, arranged in an organized form, put through detailed review, properly verified by an valid process, interpreted and expounded
In the preparation and analysis step, the data is formatted by editing, coding, transcription and verification to enable accurate analysis of the collected information. Data validation process is put in place to ensure that the proper data that quantifies the desired metrics are obtained.
The process of data preparation and analysis enables the decision making process by promoting the process of suggesting conclusions, whereby useful information is highlighted by the modelling, transformation, cleaning, and inspection data analysis processes