Answer:
I can put a call through to the organisers of the trip explaining that I have cash but it's not within reach and that if they reserved the spot for me, they'd get the money as soon as I can access it. Given that I am a valuable member of the student store staff, that reputation should count in times like this.
To borrow money from the cashbox would be a huge ethical risk and can easily be termed mismanagement of funds especially where the store policy does not allow such.
My value in the store lies largely on my integrity and the trust they students have invested in my person.
I'd rather miss the road trip than make a regrettable unethical decision.
Cheers!
Answer:
That low income can be enough because of either one of these two reasons (or the two at the sime time):
- A high proportion of subsidized good for low-income earners in developing countries: a consumer making $1,000 per year on average could benefit from subsidized food, housing, healthcare, and even transportation, allowing this person to devote most of his income to other expenses.
- Cheap credit available: this same person could not have enough money to pay for the television in cash, but could easily obtain a credit with low interest rates, and long-term payments.
Explanation:
The adjusting entry is as follows
On January 31
Unearned revenue A/c Dr $3,500
To Magazine subscription revenue A/c $3,500
(Being the unearned revenue is recorded)
The computation is shown below:
= Sale value of annual subscriptions ÷ total number of months in a year
= $42,000 ÷ 12 months
= $3,500
Answer:
<h3>true or if i wrong fulse so </h3>
Answer and Explanation:
The computation of composite score for each location is shown below:-
Composite score for A is
= 0.15 × 89 + .20 × 75 + 0.18 × 92 + 0.27 × 92 + 0.10 × 93 + 0.10 × 90
= 88.05
Composite score for B is
= 0.15 × 78 + .20 × 93 + 0.18 × 90 + 0.27 × 93 + 0.10 × 97 + 0.10 × 96
= 90.91
Composite score for C is
= 0.15 × 84 + .20 × 98 + 0.18 × 87 + 0.27 × 82 + 0.10 × 84 + 0.10 × 95
= 87.90
Therefore for computing the composite score for each location we simply multiply weight with A location and in the same manner of A, B and C
b. The maximum composite score from A, B and C is B
