Answer:
1. The return on investment is 20%
2. The total is $40,000
Explanation:
1. The formula for Return on Investment is defined as Net income from the Investment divided by the investment amount.
The net income mentioned in the question is the after-tax profit of $20,000.
The total amount Amelia invested in Goodies Gift Shop is reflected as owner's equity at $100,000 in the balance sheet for Year 2.
Using the formula: Return on Investment = 20,000/100,000 = 20%
2. We can calculate the projected pre-tax profit as follows: Projected margin minus total overhead = 250K - 200K = $50,000
Thus, the after-tax profit is computed as pre-tax profit multiplied by (1 minus tax rate) = 50K x (1-20%) = $40,000
The right answer is b. The output units sold totaled 8,000. The sales revenue reached $9,600,000. Variable costs stand at $6,000,000, with fixed costs amounting to $2,600,000. The product's price is $1,200. Average variable cost calculates to $750. Profit calculation results in TR - TC, hence Profit = $1,270,000 = $1,200Q - $750Q - $2,600,000. Resulting in $3,870,000 = $450Q, thus Q is 8,600 units.
Answer:
Option 3 is the correct choice.
Explanation:
- An agile operational framework aligns with their working methods, indicating that the guidelines, similar to other operational models, are not fixed across all scenarios but adapt according to the context during research.
- For comprehensive marketing, the principles are also not rigid and primarily focus on design criteria.
The other options presented do not correspond with the specified scenario. Thus, Option 3 is the superior selection.
Analyzing customer wait times: A manager can leverage this data to identify operational pain points, implement strategies to minimize wait times, set employee expectations, and ultimately improve prompt service for customers.
Answer:
Part a:
Show the probability density function for the waiting times at Kroger, assuming they are exponentially distributed.
Solution:
Probability density function f(x) = (1/ )*e-x/ = (1/26)*e-x/26 (result)
Part b:
Calculate the probability that a customer waits between 15 and 30 seconds.
Solution:
0.2462
Part c:
Determine the probability that a customer must wait longer than 2 minutes.
Solution:
0.0099
Explanation:
All calculations are included.
