Use the following items to determine the total assets, total liabilities, net worth, total cash inflows, and total cash outflows.
| Rent for the month | $ | 1,450 | Monthly take-home salary | $ | 2,985 |
| Spending for food | $ | 745 | Cash in checking account | $ | 610 |
| Savings account balance | $ | 2,050 | Balance of educational loan | $ | 3,120 |
| Current value of automobile | $ | 9,500 | Telephone bill paid for month | $ | 145 |
| Credit card balance | $ | 315 | Loan payment | $ | 240 |
| Auto insurance | $ | 390 | Household possessions | $ | 5,000 |
| Video equipment | $ | 2,750 | Payment for electricity | $ | 170 |
| Lunches/parking at work | $ | 260 | Donations | $ | 320 |
| Personal computer | $ | 2,000 | Value of stock investment | $ | 1,260 |
| Clothing purchase | $ | 190 | Restaurant spending | $ | 210 |
|
In: Finance
Exercise 2:
Create a spreadsheet to calculate your projected total costs, total revenues, and total profits
for giving a seminar on cost estimating. Make the following assumptions:
registration, and $300 for designing a postcard for advertising.
credit card processing; assume that everyone pays by credit card
Be sure to have input cells for any variables that might change, such as the cost of postage
and handouts. Calculate your profits based on each of the following numbers of people who
might attend: 10, 20, 30, 40, 50, and 60. In addition, calculate what your time would be worth
per hour based on the number of students. Try to use the Excel data table feature to show
the profits based on the number of students. If you are unfamiliar with data tables, just repeat
the calculations for each possibility of 10, 20, 30, 40, 50, and 60 students. Print your results
on one page, highlighting the profits for each scenario and what your time is worth.
In: Operations Management
1.Consider a firm that operates in a perfectly competitive market. The firm is producing at its profit maximizing output level. If this is true, then
| a. |
marginal revenue is greater than the market price. |
|
| b. |
price must be equal to marginal cost. |
|
| c. |
the firm must be earning a positive economic profit. |
|
| d. |
average revenue is maximized. |
2.In order to make the shut-down decision, a perfectly competitive firm compares
| a. |
price with average variable cost. |
|
| b. |
price with average total cost. |
|
| c. |
price with marginal cost. |
|
| d. |
price with fixed cost. |
3.In exiting decisions, a perfectly competitive firm compares the
|
a.price with marginal cost. |
||
| b. |
price with average fixed cost. |
|
| c. |
price with average variable cost. |
|
| d. |
price with average total cost |
4.Total cost = Average Total Cost x Quantity
a.True
b.False
5. A restaurant, which operates in a perfectly competitive market, is evaluating whether it should serve breakfast on a daily basis. It would choose to do this when its revenues cover its variable costs.
a. True
b. False
In: Economics
Q1) Five critical path activities are candidates for crashing on a CPM network. Activity details are in the table below.
|
Activity |
Normal Time |
Normal Cost |
Crash Duration |
Crash Cost |
|
A |
14 days |
$7,000 |
10 days |
$9,800 |
|
B |
10 days |
$6,000 |
7 days |
$8,700 |
|
C |
6 days |
$6,800 |
4 days |
$7,800 |
|
D |
8 days |
$4,500 |
6 days |
$6,700 |
|
E |
5 days |
$2,500 |
4 days |
$3,300 |
In: Operations Management
1. Test Company derived the following cost function for the production of its product.
Cost = $16,000 + $10X, where x is the number of units.
Next month, Test Company expects to produce 4,000 units.
Determine the total cost to produce 4,000 units.
2. Determine the total variable cost to produce 4,000 units.
3. Determine the total fixed cost to produce 4,000 units.
4. Determine the variable cost per unit to produce 4,000 units.
5. Determine the fixed cost per unit to produce 4,000 units.
Note: Give your answer using dollar signs and commas but no decimal points (cents).
Example: $12,345
In: Accounting
The Metropolitan Book Company purchases paper from the Atlantic Paper Company. Metropolitan produces magazines and paperbacks that require 1,215,000 pounds of paper per year. The cost per order for the company is $1,200; the cost of holding 1 pound of paper in inventory is $0.08 per year. Determine the following: a) The economic order quantity b) The minimum total annual cost c) The optimal number of orders per year d) The optimal time between orders.
| TOTAL ANNUAL INVENTORY COST | |||
| SUMMARY | |||
| Q = ORDER QUANTITY = | |||
| AVERAGE INVENTORY = | |||
| NUMBER OF ORDERS = | |||
| CARRYING COST = | |||
| ORDERING COST = | |||
| TOTAL COST | |||
| OPTIMAL TIME BETWEEN ORDERS = | |||
In: Accounting
Discussion Question - There is an ongoing debate about the roles of quantitative and qualitative inputs in demand estimation and forecasting. Those in the qualitative camp argue that statistical analysis can only go so far. Demand estimates can be further improved by incorporating purely qualitative factors. Quantitative advocates insist that qualitative, intuitive, holistic approaches only serve to introduce errors, biases, and extraneous factors into the estimation task.
Suppose the executive for the theater chain is convinced that any number of bits of qualitative information (the identity of the director, the film’s terrific script and rock-music sound track, the Hollywood “buzz” about the film during production, even the easing of his ulcer) influence the film’s ultimate box-office revenue.
How might one test which approach—purely qualitative or statistical— provides better demand or revenue estimates? Are there ways to combine the two approaches? Provide concrete suggestions.
In: Economics
A person with a cough is a persona non grata on airplanes, elevators, or at the theater. In theaters especially, the irritation level rises with each muffled explosion. According to Dr. Brian Carlin, a Pittsburgh pulmonologist, in any large audience you'll hear about 8 coughs per minute.
(a) Let r = number of coughs in a given time interval. Explain why the Poisson distribution would be a good choice for the probability distribution of r.
Coughs are a common occurrence. It is reasonable to assume the events are dependent.Coughs are a common occurrence. It is reasonable to assume the events are independent. Coughs are a rare occurrence. It is reasonable to assume the events are dependent.Coughs are a rare occurrence. It is reasonable to assume the events are independent.
(b) Find the probability of six or fewer coughs (in a large
auditorium) in a 1-minute period. (Use 4 decimal places.)
(c) Find the probability of at least eight coughs (in a large
auditorium) in a 24-second period. (Use 4 decimal places.)
In: Statistics and Probability
Suppose that the sitting back-to-knee length for a group of adults has a normal distribution with a mean of mu equals 22.7 in. and a standard deviation of sigma equals 1.2 in. These data are often used in the design of different seats, including aircraft seats, train seats, theater seats, and classroom seats. Instead of using 0.05 for identifying significant values, use the criteria that a value x is significantly high if P(x or greater)less than or equals0.01 and a value is significantly low if P(x or less)less than or equals0.01. Find the back-to-knee lengths separating significant values from those that are not significant. Using these criteria, is a back-to-knee length of 24.9 in. significantly high? Find the back-to-knee lengths separating significant values from those that are not significant. Back-to-knee lengths greater than nothing in. and less than nothing in. are not significant, and values outside that range are considered significant. (Round to one decimal place as needed.).
In: Statistics and Probability
6.2.19-E Suppose that the sitting back-to-knee length for a group of adults has a normal distribution with a mean of mu equals 24.1 in. and a standard deviation of sigma equals 1.1 in. These data are often used in the design of different seats, including aircraft seats, train seats, theater seats, and classroom seats. Instead of using 0.05 for identifying significant values, use the criteria that a value x is significantly high if P(x or greater)less than or equals0.01 and a value is significantly low if P(x or less)less than or equals0.01. Find the back-to-knee lengths separating significant values from those that are not significant. Using these criteria, is a back-to-knee length of 26.2 in. significantly high? Find the back-to-knee lengths separating significant values from those that are not significant. Back-to-knee lengths greater than nothing in. and less than nothing in. are not significant, and values outside that range are considered significant.
In: Statistics and Probability