Answer:
Demand
Consumer interference
Explanation:
The social demand curve represents the benefit of demand to the whole society whereas the normal demand curve represents the benefits to the consumers only. The demand curve represents the social cost curve and the market failure is analyzed by the customer interference.
Answer:
1. WINFREY TOWING SERVICE
Statement of Comprehensive Income
$
Service revenue 10,800
Rent expense (550)
Salaries expense (1,900)
Dividends paid <u>(4,000)</u>
Net income <u> 4,350</u>
Statement of Retained Earnings
$
Retained earnings b/f 3,900
Add: Net income 4,350
Retained earnings c/f 8,250
2. Statement of retained earnings report changes in retained earnings of a company in a given accounting year.
Explanation:
In this question, we need to obtain the net income of the company, which is service revenue minus expenses minus dividend. Then, the statement of retained earnings is prepared by taking cognisance of the retained earnings brought forward and add the net income for the year.
Answer:
<u><em>Total expenses 936,500</em></u>
depreciation 291,500
wages expense 645,000
Explanation:
Assuming the depreciation are calculate base on straight line or that their output is lineal through the year:
It will be half of the depreciation for the year.
583,000 / 2 = 291,500 depreciation expense for six-month
For the year-end bonused It wll be the same ideal, we assume are earned equally during the year. So at half year half of the bonuses should be earned:
wages expense 1,290,000/2 = 645,000
<u>Total expenses 936,500</u>
Answer:
Trend- % change in sales = 34.64%
Explanation:
<em>Trend analysis entails determining the performance of a business over time by comparing its performance data from one period to another. The aim of trend analysis is to identify the behavior of a set of ratios over a period of time by comparing them across different years.</em>
To determine the trend for a particular data, we use the formula below
% Change in variable =
(Current year figure - Previous year figure)/Previous year figure × 100
DATA
Current year figure for sales (2017) - 450,000
Previous year figure for sale (2016) - 688,500
% change in sales = (450,000 -688,500)/688,500 × 100 = 34.64%
% change in sales = 34.64%
This implies that the company made sales in 2017 which is 34.64% less than that made in 2016