Answer:
A. $1.80
Explanation:
Earnings per share = (Net Income - Preferred dividend) / Weighted average outstanding common shares
Earnings per share = (1140000 - 10000*100*6%) / (300000 + 300000)
Earnings per share = $1.80 per share
So, Rice's 2018 earnings per common share should be $1.80 per share
Answer:
The correct answer is letter "D": Foreign firms receive financial support from host-country governments.
Explanation:
Governments assign in their budgets different amounts for domestic investment. A problem arises when the complexity of the work demands <em>technology </em>and <em>know-how</em> that the domestic industry does not provide or lacks experience. In such scenarios, foreign entities are invited to take care of the projects but, by doing this, governments promote foreign financial expansion instead of domestic industry growth.
<em>That is the reason why in many cases host-country competitors claim governments contribute financially with foreign firms.</em>
Answer:
See below
Explanation:
Given the above, we will calculate first the standard hours allowed for actual work using the formula below
Standard hours allowed for actual work
= Total number of applications × Number of standard
= 2.500 × 8 hours × 10
= 2,000 hours
Therefore, the labor efficiency variance
= (Actual hours worked - Standard hours allowed for actual work) × Standard rate
= (1,920 - 2,000 ) × $15
= -$1,200
The labor efficiency variance is $1,200 favorable
Answer:
151.05 euro
Explanation:
The computation is shown below:
Data provided in the question
€1 = $1.1364
$1 = $1.2408
And the new coat cost is $213 in Singapore
So, by considering the above information
The 1 euro = $1.1364 × $1.2408 = $1.4100512
So,
$1 = 1 ÷ $1.4100512 euro = 0.709194
So, the identical coat cost is
= $213 × 0.709194
= 151.05 euro
Answer:
A. about 2.0%
Explanation:
The forecasted error for week 1 is 1%. The demand for week 1 is 50 while estimated demand or forecast was 49. The difference between the two values is 1. The forecasted demand for week 2 is 50 while actual demand for week 2 is 54. The difference between the forecast and actual value is 4. The difference in week 3 is 5. Mean absolute deviation is 6% which means there can be 6% standard deviation from the forecasted values.
