Answer:
A. A credit to Child Care Fees Earned of $4,500.
Explanation:
The journal entry to record this given transaction is shown below:
Cash A/c Dr $4,500
To Child Care Fees Earned A/c $4,500
(Being the fees earned is recorded)
Since the payment is received that means cash balance is increased so we debited the cash account and credited the child care fees earned account.
The monthly fee is $9,000 but we have to compute for 15 days, so it would be
= $9,000 ÷ 2
= $4,500
Answer:
Uncollectible account expense $8,600
Explanation:
The computation of the amount as the Uncollectible Accounts Expense on its Year 2 income statement is given below:
Allowance account - Beg year 2 $3,600 Credit
Written off account $6,600 Debited by
Unadjusted balance in Allowance account $3000 Debit
Adjusted balance required in Allowance account $5,600 Credit
Uncollectible account expense $8,600
The what-if analysis tool would be the most adequate choice for intricate calculations that need contrived optimization:
b). Scenario manager
- 'What-if analysis tool' is described as the tools that are employed to alter the values present in the cells.
- It is done to observe the effect of changing the values impact the results produced by the used formula.
- The what-if analysis tools have been categorized into three distinct types:
- a). Scenarios.
- b). Goal Seek.
- c). Data Tables.
- As per the question, in order to opt for complex calculations, 'Scenarios' what-if analysis would be most adequate as they examine a number of variables and set of numbers/values that affect the outcome.
Thus, <u>option b</u> is the correct answer.
Learn more about 'what-if tool' here:
brainly.com/question/14830872
Answer: Data mining
Explanation: Patterns and relationships as indicated are discovered through a technique known as data mining, which is defined as the use of a variety of statistical analysis tools in marketing research to uncover previously unknown patterns in data or relationships among variables. It is also given as a technique for searching large scale databases for patterns; used mainly to find previously unknown correlations between variables that may be commercially useful.