Answer:
$981,000 - Total Building Cost
Explanation:
To answer this question, we were told that the customer wants to build a moderate 3,800 square foot home. However, although it says with no utilities, utility cost will be applicable because it represents what is needed by the builders and engineers to get their work done on the vacant lot of land.
Therefore, the cost to build = Administrative cost + Building cost (moderate) + appliances cost + utilities cost
= $40,000 + (220 x 3800 square foot) + $45,000+ $60,000
=$40,000 + $836,000 + $45,000+ $60,000
= $981,000
Given:
<span>accounts receivable of $244,000
allowance for uncollectible accounts of $1,350 (credit)
1% of the accounts receivable should be the value of the allowance for uncollectible accounts.
244,000 x 1% = 2,440
2,440 - 1,350 = 1,090
Adjusting entry:
Debit Credit
Bad Debt Expense 1,090
Allowance for uncollectible accounts 1,090</span>
Answer:
A. UPC
Explanation:
A UPC is an acronym for universal product code. UPC is typically used for the identification of a specific product and its manufacturer (vendor) through a unique code that is printed on the product.
Basically, a universal product code (UPC) comprises of two (2) main parts;
- A machine-readable barcode that contains sets of vertical black lines.
- A unique twelve (12) digit number placed beneath or adjacent to the machine-readable barcode.
The first six-digits of the UPC represents the manufacturer and is printed on all of its products while the next five-digits is the product's unique reference number (item number) and the last digit is typically known as a check digit, used for the verification of the authenticity of a UPC.
Generally, the universal product code are usually scanned with a barcode scanner and this makes it easier to identify a product, as well as its price.
<em>Hence, a universal product code (UPC) contains data that identifies a product. </em>
I think its B if not B than C most likely
Answer:
A. predictive validity.
Explanation:
The tool has predictive-validity because it can assess, or predict, out of a sample, which subjects will be depressed in the future, and which subjects will not, producing similar results to other tools that also measure depression, something that gives it credibility.
