Answer:
$171 Favorable
Explanation:
Actual Variable Overhead Rate = Actual variable overhead cost / Actual direct labor-hours used
Actual Variable Overhead Rate = $9,531 / 2,310
Actual Variable Overhead Rate = $4.125974
Variable overhead rate variance = (Standard rate - Actual rate) * Actual Direct labor hours
Variable overhead rate variance = ($4.20 - $4.125974) * 2310
Variable overhead rate variance = $0.074026 * 2310
Variable overhead rate variance = $171 Favorable
Answer:
$25,400
Explanation:
Average for first 11 months = $20,600
Total amount for first 11 months = 11 x $20,600 = $226,600
Average for 12 months = $21,000
Total amount for 12 months = 12 x $21,,000 = $252,000
Amount received in December = $252,000 - $226,600 = $25,400
The organization received $25,400 in donations during December
Answer:
The expected rate of return on the market portfolio is 14%.
Explanation:
The expected rate of return on the market portfolio can be calculated using the following capital asset pricing model (CAPM) formula:
Er = Rf + B[E(Rm) - Rf] ...................... (1)
Where:
Er = Expected rate of return on the market portfolio = ?
Rf = Risk-free rate = 5%
B = Beta = 1
E(Rm) = Market expected rate of return = 14%
Substituting the values into equation (1), we have:
Er = 5 + 1[14 - 5]
Er = 5 + 1[9]
Er = 5 + 9
Er = 14%
Therefore, the expected rate of return on the market portfolio is 14%.
Answer: the bank on which the check is drawn because it must pay the check. (A)
Explanation:
A Drawee is a banking and legal term that is used to describe the party which has been directed by the depositor to pay a certain amount of money to the person who is presenting the draft or check or draft.
A typical example is if when someone is cashing a paycheck. The drawer is the bank that cashes the person's check, the drawer is the employer or person who wrote the check, and the person cashing the check is the payee.
Explanation:
1. The ceterus paribus effect gives us to what extent, the effect of a variable has on another variable, while holding all other factors fixed. Analysing job training of workers on productivity will give us results that are not biased since we will not be taking account of other factor variables in the calculations. When 2 firms are the same in almost every aspect apart from number of hours on training, then we will find out that each firm would have different levels of workers output. So we should know if workers output increases due to job training.
2. When it comes to provision of training, furms do these based on characteristics of the workers. Some of these characteristics are measurable while some are immeasurable
Measurable:
Experience on the job,
Productivity
Level of education,
immeasurable :
Skill set
Vision
Likeliness to bstay at firm
3. Apart from worker characteristics, productivity also depends on other factors one of which is technological change. A technological change can bring about increased efficiency and greater output by the worker. Different firms using different capital and technological combination are quite likely to have different output levels.
4. A positive correlation between job training and productivity cannot be used to ascertain if job training makes worker more efficient this is due to the fact that correlation only tells us if variables are in coexistence. So a positive correlation does not tell us that job training is indeed bringing about changes in the productivity of workers.
