1. The theory of monopoly assumes that the monopoly firm
faces a downward-sloping supply curve that is the same as its marginal revenue curve.
faces a downward-sloping demand curve.
produces more than the perfectly competitive firm under identical demand and cost conditions.
produces a product for which there are many close substitutes.
none of the above
2. A single-price monopolist is a monopolist that sells each unit of its output for the same price to all its customers. Assume that a single-price monopolist sets its price for good X at $75 and is selling more than one unit of good X. Which of the following must be true?
The average cost of that unit must be $75.
The marginal cost of that unit must be $75.
The marginal revenue of that unit must be $75.
The marginal revenue of that unit must be less than $75
3. A single-price monopolist is a firm that sell each unit of its output for the same price to all its customers. At the level of output at which a single-price monopolist maximizes profit, price is
equal to marginal cost.
equal to marginal revenue.
greater than marginal cost.
less than marginal cost.
less than marginal revenue.
In: Economics
The International League of Triple-A minor league baseball consists of 14 teams organized into three divisions: North, South, and West. Suppose the following data show the average attendance for the 14 teams in the International League. Also shown are the teams' records; W denotes the number of games won, L denotes the number of games lost, and PCT is the proportion of games played that were won.
| Team Name | Division | W | L | PCT | Attendance |
|---|---|---|---|---|---|
| Buffalo Bisons | North | 66 | 77 | 0.462 | 8,813 |
| Lehigh Valley IronPigs | North | 55 | 89 | 0.382 | 8,472 |
| Pawtucket Red Sox | North | 85 | 58 | 0.594 | 9,099 |
| Rochester Red Wings | North | 74 | 70 | 0.514 | 6,915 |
| Scranton-Wilkes Barre Yankees | North | 88 | 56 | 0.611 | 7,143 |
| Syracuse Chiefs | North | 69 | 73 | 0.486 | 5,768 |
| Charlotte Knights | South | 63 | 78 | 0.447 | 4,522 |
| Durham Bulls | South | 74 | 70 | 0.514 | 6,998 |
| Norfolk Tides | South | 64 | 78 | 0.451 | 6,288 |
| Richmond Braves | South | 63 | 78 | 0.447 | 4,454 |
| Columbus Clippers | West | 69 | 73 | 0.486 | 7,793 |
| Indianapolis Indians | West | 68 | 76 | 0.472 | 8,534 |
| Louisville Bats | West | 88 | 56 | 0.611 | 9,154 |
| Toledo Mud Hens | West | 75 | 69 | 0.521 | 8,238 |
(a)
Use α = 0.05 to test for any difference in the mean attendance for the three divisions.
State the null and alternative hypotheses.
H0: Not all the population means are
equal.
Ha: μN =
μS = μW
H0: μN =
μS = μW
Ha: Not all the population means are
equal.
H0: μN ≠
μS ≠ μW
Ha: μN =
μS = μW
H0: At least two of the population means are
equal.
Ha: At least two of the population means are
different.
H0: μN =
μS = μW
Ha: μN ≠
μS ≠ μW
Find the value of the test statistic. (Round your answer to two decimal places.)
t stat =
Find the p-value. (Round your answer to three decimal places.)
p-value =
State your conclusion.
Do not reject H0. There is not sufficient evidence to conclude that the mean attendance values are not equal for the three divisions.
Do not reject H0. There is sufficient evidence to conclude that the mean attendance values are not equal for the three divisions.
Reject H0. There is not sufficient evidence to conclude that the mean attendance values are not equal for the three divisions.
Reject H0. There is sufficient evidence to conclude that the mean attendance values are not equal for the three divisions.
(b)
Use Fisher's LSD procedure to determine where the differences occur. Use α = 0.05.
Find the value of LSD for each pair of divisions. (Round your answers to two decimal places.)
North and South LSD=
North and West LSD=
South and West LSD=
Find the pairwise absolute difference between sample attendance means for each pair of divisions. (Round your answers to the nearest integer.)
xN − xS =
xN − xW =
xS − xW =
Which attendance means differ significantly? (Select all that apply.)
There is a significant difference in mean attendance between the North division and the South division.
There is a significant difference in mean attendance between the North division and the West division.
There is a significant difference in mean attendance between the South division and the West division.
There are no significant differences.
In: Statistics and Probability
Using the SQL for Dummies textbook in the CSU Online Library, refer to Table 3-4 “Types of Protection” on page 74 to create three scenarios in which the use of protection operations are used to secure a database. Describe the scenario, select which protection operations users should use in the scenario, and then explain your selection.
Your paper should be three pages in length. All sources used, including the textbook, must be referenced; paraphrased and quoted material must have accompanying citations, and cited per APA guidelines.
In: Computer Science
Pay your bills. In a large sample of 250 customer accounts, a
In a large sample of 250 customer accounts, a utility company determined that the average number of days between when the bill was sent out and when the payment was made is 32 with a standard deviation of 7 days. Assume the data to be approximately bell- shaped.
In: Statistics and Probability
The graph shows the average molecular speed of four gases a 27 °C.

What, if any, relationship is observed between the average molecular speed and the molar mass of the gas?
There is no relationship between the average molecular speed and the molar mass.
The average molecular speed decreases as the molar mass of the gas increases.
The average molecular speed increases as the molar mass of the gas increases.
The average molecular speed decreases as the molar mass of the gas decreases.
Estimate the average molecular speed of helium at 27°C.
average molecular speed of helium:
In: Chemistry
Topic 3-2 Accounts Receivable Problem:
Receivables Forever Corp. started business on January 1, 20x3. The following information is provided about its sales during its first two years of operations.
[Hint: Companies can also use % of sales method to estimate bad-debt expense provision directly, instead of using aging schedule which estimate the ending allowance balance to back out bad-debt expense provision. For example, suppose the company estimate that 1% of the reported sales as bad-debt expense provision, then the ending balance would follow as beginning balance + bad-debt expense provision - write-offs.]
Year 20x3
During its first year of operations, 20x3, it had sales of $100,000. All sales were on credit. At the time that the sales were made, it was expected that 5% of the sales would be uncollectible. It collected $75,000 of the 20x3 sales during 20x3 and another $18,000 of the 20x3 sales during 20x4. It wrote off $3,000 of the 20x3 sales during 20x3 and $1,000 of the 20x3 sales during 20x4.
Year 20x4
During its second year of operations, 20x4, it had sales of $200,000. All sales were on credit. At the time that the sales were made, it was expected that 5% of the sales would be uncollectible. It collected $168,000 of the 20x4 sales during 20x4 and another $20,000 of the 20x4 sales during 20x5. It wrote off $8,000 of the 20x4 sales during 20x4.
20x4 year-end aging analysis
At year-end at 20x4, the company performed an aging analysis of existing accounts receivable calculation and found that the Allowance for Uncollectible Accounts account should have an ending balance of $6,000. It proceeded to make with the appropriate adjustment to Allowance and bad-debt expense accounts at the end of 20x4.
Questions:
| FY 2003 | FY 2004 | ||
| Before aging analysis | After aging analysis | ||
| Opening Balance | $0 | (Same as FY 2003 ending) | (Same as FY 2003 ending) |
|
Add: Bad-debt expense provision for the year |
|||
| Minus: Total write-off during the year | (Same as the cell to the left) | ||
| Ending balance | |||
|
Balance Sheet |
20x3 Year END |
20x4 Year END |
|
|
Before aging analysis |
After aging analysis |
||
|
Accounts Receivable |
|||
|
Minus: Allowance for Uncollectible Accounts |
|||
|
Net Accounts Receivable |
|||
|
Income Statements |
FY 2003 |
FY 2004 before aging analysis |
FY 2004 |
|
Bad Debt Expense |
|||
|
Other data |
FY 2003 |
FY 2004 |
|
|
Total Cash collected from customers during the year |
|||
In: Accounting
1. Identify a type of business and suggest how it could be improved using a lean strategy.
2. Provide an example of a lean system and identify the role of the suppliers and the customers in your system.
3. Explain the relationship between quality and productivity under the lean philosophy. Provide two examples.
4. Identify a business and describe in detail how a Kanban system could be utilized within this business.
5. How could employee empowerment be beneficial to a lean manufacturing operation? Provide three workplace examples.
In: Operations Management
An unstable nucleus with a mass of 16.3 × 10−27 kg initially at rest disintegrates into three particles. One of the particles, of mass 4.9 × 10−27 kg, moves along the positive yaxis with a speed of 4.5 × 106 m/s. Another particle, of mass 8.7 × 10−27 kg, moves along the positive x-axis with a speed of 3.4 × 106 m/s.
a) Find the speed of the third particle. Answer in units of m/s.
b) At what angle does the third particle move?
In: Physics
An unstable nucleus with a mass of 16.3 × 10−27 kg initially at rest disintegrates into three particles. One of the particles, of mass 4.9 × 10−27 kg, moves along the positive yaxis with a speed of 4.5 × 106 m/s. Another particle, of mass 8.7 × 10−27 kg, moves along the positive x-axis with a speed of 3.4 × 106 m/s.
a) Find the speed of the third particle. Answer in units of m/s.
b) At what angle does the third particle move?
In: Physics
A consumer advocacy group received a tip that an air
conditioning company has been charging female customers more than
male customers. The group's statistical expert decides examine this
question at the α=0.10α=0.10 level of significance, by looking at
the difference in mean charges between a random sample of female
customers and a random sample of male customers. Let μFμF represent
the average charges for female customers and μMμM represent the
average charges for male customers.(Round your results to three
decimal places)
Which would be correct hypotheses for this test?
If we are going to test this using a confidence interval, which
confidence interval should we construct?
A random sample of 33 female customers were charged an average of
$915, with a standard deviation of $8. A random sample of 52 male
customers were charged an average of $903, with a standard
deviation of $17. Construct the confidence interval:
_____________ < μF−μ < ____________________
Which is the correct result:
Which would be the appropriate conclusion?
In: Statistics and Probability