Answer:
Fabricating Department = $136470= 53000 +total 49100 of $1.7 per direct labor hours
Assembling Department = $$ 90,410= 43000 +total 43100 of $ 1.10 per direct labor hours
Explanation:
<em>When a fixed line intersects a vertical axis at the point of total budgeted cost line represents total cost of the activity . From this we can calculate the following.</em>
Fabricating Assembling
Total Cost for 46100 DLH $131,370 $93,710
Fixed Costs (53000) (43,000)
Variable Costs 78370 50,710
Variable Cost Per hour 78370 / 46100 50,710 / 46100
= $ 1.7 = $1.10
Fabricating Assembling
Total DLH 49100 43100
Variable Cost Per hour $ 1.7 $1.10
Variable Costs $ 83470 $ 47410
Fixed Costs 53000 43,000
Total Budgeted Cost 136470 $ 90,410
Answer:
oligopoly
Explanation:
An oligopoly is a market structure comprising a few firms dominating a large market with many buyers. The few firms sell similar or differentiated products. Each of the firms commands a sizable market share and can influence the market. Apart from the few dominating firms, there could be other small sellers with a smaller market share operating in the market. Another example of an oligopoly market is the air travel business, where a few airline companies dominate the market.
Characteristics of oligopoly market include
- Barriers to entry due to heavy capital requirements and market domination by a few firms.
- Each firm sets its price
- heavy advertising to woe clients
- Collaboration among the few dominating firms
Answer:
I (allowed) and IV (not considered soft dollar compensation)
Explanation:
Soft dollar compensation refers to payments made to brokerage firms or agents as commission revenue. They differ from hard dollar compensation because hard dollars are payments that were agreed upon before an investor started working with the broker, while soft dollars are based upon variable commissions.
Answer:
a) diluted earnings per share = 0
Explanation:
Diluted earnings per share (DEPS) is a recalculation of the basic EPS. The difference between DEPS and EPS is, EPS represents the current position of earnings per share. No changes in number shares and/or earnings in the future are incorporated in the basic EPS.
Whereas DEPS is a representation of not only the current position of earnings and shares but also includes the commitments an entity has already made whose occurrence may result in an increase/decrease in the amount of earnings and/or number of shares. For example, in the question Culver Company has issued 10-year convertible bonds which right now have no impact on basic EPS but if in the future these bond holders exercise their right of conversion, this would result in an increase in number of ordinary shares hence decreasing/diluting the basic EPS. The entities use DEPS to show shareholders the impact of such commitments on the basic EPS to improve their decision making.
So in 2017 none of the bonds were converted therefore no diluted earnings per share is calculated in 2017.
If all of the bonds were converted in 2017 the DEPS would have been calculated as follows:
The formula for calculating DEPS is as follows;
DEPS = (Net income + interest savings) ÷ number of ordinary shares + increase in ordinary shares as a result of conversion.
Tax savings as a result of conversion=$128400 ($2140000×6%). Because if bond holders convert into ordinary shares then Culver company will not have to pay them interest and hence the amount of interest is saved.
Increase in ordinary shares upon conversion= 29960 ($2140000÷$1000=2140 bonds. Each bond is convertible into 14 shares therefore, 2140×14=29960).
Now Lets calculate DEPS as follows;
DEPS = ($296000+$128400) ÷ 91000+29960
DEPS =$424400÷120960
DEPS = $3.5
Answer:
0.0139
Explanation:
Given that:
The number of sample (n) = 21
The sample distribution has mean (μ) and a standard deviation of σ/√n
The z score is given as (x - mean)/ standard deviation
x = 94.8 wpm, let us assume that σ = 10 and μ = 90
Therefore: z = (x - μ) / (σ/√n) = (94.8 - 90) / (10/√21) = 2.2
To calculate the probability using Z table:
P(X>94.8) = P(Z>94.8) = 1 - P(Z<94.8) = 1 - 0.9861 = 0.0139
The probability is low that is less than 0.05, the program is more effective than the old one.
