Stock Inc. has two sites in Pittsburgh that are four miles apart. Each site consists of a large factory with office space for 25 users at the front of the factory and up to 50 workstations in two work cells on each factory floor. All office users need access to an inventory database that runs on a server at the Allegheny Street location; they also need access to a billing application with data residing on a server at the Monongahela site. All factory floor users also need access to the inventory database at the Allegheny Street location. Office space is permanently configured, but the manufacturing space must be reconfigured before each new manufacturing run begins. Wiring closets are available in the office space. Nothing but a concrete floor and overhead girders stay the same in the work cell areas. The computers must share sensitive data and control access to files. Aside from the two databases, which run on the two servers, office computers must run standard word-processing and spreadsheet programs. Work cell machines are used strictly for updating inventory and quality control information for the Allegheny Street inventory database. Workstations in the manufacturing cells are switched on only when they’re in use, which might occur during different phases of a manufacturing run. Seldom is a machine in use constantly on the factory floor. Use the following write-on lines to evaluate the requirements for this network. After you finish, determine the best network topology or topology combination for the company. On a blank piece of paper, sketch the network design you think best suits ENorm, Inc.’s needs.
● Will the network be peer to peer or server-based?
● How many computers will be attached to the network?
● What topology works best for the offices, given the availability of wiring closets? What topology works best for the factory floor, given its need for constant reconfiguration?
In: Computer Science
An automobile manufacturer claims that their van has a 45.945.9 miles/gallon (MPG) rating. An independent testing firm has been contracted to test the MPG for this van. After testing 1111 vans they found a mean MPG of 45.745.7 with a variance of 2.892.89. Is there sufficient evidence at the 0.0250.025 level that the vans underperform the manufacturer's MPG rating? Assume the population distribution is approximately normal.
Step 1 of 5:
State the null and alternative hypotheses.
Step 2 of 5:
Find the value of the test statistic. Round your answer to three decimal places.
Step 3 of 5:
Specify if the test is one-tailed or two-tailed.
Step 4 of 5:
Determine the decision rule for rejecting the null hypothesis. Round your answer to three decimal places.
Step 5 of 5:
Make the decision to reject or fail to reject the null hypothesis.
In: Statistics and Probability
Lon Timur is an accounting major at a midwestern state university located approximately 60 miles from a major city. Many of the students attending the university are from the metropolitan area and visit their homes regularly on the weekends. Lon, an entrepreneur at heart, realizes that few good commuting alternatives are available for students doing weekend travel. He believes that a weekend commuting service could be organized and run profitably from several suburban and downtown shopping mall locations. Lon has gathered the following investment information.
1.Five used vans would cost a total of $75,920 to purchase and would have a 3-year useful life with negligible salvage value. Lon plans to use straight-line depreciation.
2.Ten drivers would have to be employed at a total payroll expense of $48,700.
3.Other annual out-of-pocket expenses associated with running the commuter service would include Gasoline $16,100, Maintenance $3,200, Repairs $4,300, Insurance $4,000, and Advertising $2,500.
4.Lon has visited several financial institutions to discuss funding. The best interest rate he has been able to negotiate is 15%. Use this rate for cost of capital.
5.Lon expects each van to make ten round trips weekly and carry an average of six students each trip. The service is expected to operate 30 weeks each year, and each student will be charged $12 for a round-trip ticket.
a. Determine the annual (1) net income and (2) net annual cash flows for the commuter service. (Round answers to 0 decimal places, e.g. 125.)
b. Compute (1) the cash payback period and (2) the annual rate of return. (Round answers to 2 decimal places, e.g. 10.50.)
c. Compute the net present value of the commuter service. (Round answer to 0 decimal places, e.g. 125.)
In: Accounting
Stock Inc. has two sites in Pittsburgh that are four miles apart. Each site consists of a large factory with office space for 25 users at the front of the factory and up to 50 workstations in two work cells on each factory floor. All office users need access to an inventory database that runs on a server at the Allegheny Street location; they also need access to a billing application with data residing on a server at the Monongahela site. All factory floor users also need access to the inventory database at the Allegheny Street location. Office space is permanently configured, but the manufacturing space must be reconfigured before each new manufacturing run begins. Wiring closets are available in the office space. Nothing but a concrete floor and overhead girders stay the same in the work cell areas. The computers must share sensitive data and control access to files. Aside from the two databases, which run on the two servers, office computers must run standard word-processing and spreadsheet programs. Work cell machines are used strictly for updating inventory and quality control information for the Allegheny Street inventory database. Workstations in the manufacturing cells are switched on only when they’re in use, which might occur during different phases of a manufacturing run. Seldom is a machine in use constantly on the factory floor. Use the following write-on lines to evaluate the requirements for this network. After you finish, determine the best network topology or topology combination for the company. On a blank piece of paper, sketch the network design you think best suits ENorm, Inc.’s needs.
● Will the network be peer to peer or server-based?
● How many computers will be attached to the network?
● What topology works best for the offices, given the availability of wiring closets? What topology works best for the factory floor, given its need for constant reconfiguration?
can i also have the network design please
In: Computer Science
Distance (air miles) Fare (dollars) An air travel service is interested in the relationship between distance and airfare. Using distance as the independent variable and an alpha level of .05 answer the following: 636 109 2395 252 2176 221 605 151 403 138 1258 209 264 254 627 259 2342 215 177 128 2521 348 1050 224 441 175 1021 256 336 121 752 252 1333 206 1460 167 2350 308 621 152 737 175 853 191 1894 231 2465 251 1891 291 1028 260 545 123 1489 211 452 139 969 243 a. Write the regression equation. b. Interpret the regression constant and coefficient. c. Forecast a value for the airfare. d. Test the significance of the regression model. e. Test the significance of the regression coefficient. f. Interpret the coefficient of determination. g. Are there any violations of the general linear model?
In: Statistics and Probability
Lon Timur is an accounting major at a midwestern state
university located approximately 60 miles from a major city. Many
of the students attending the university are from the metropolitan
area and visit their homes regularly on the weekends. Lon, an
entrepreneur at heart, realizes that few good commuting
alternatives are available for students doing weekend travel. He
believes that a weekend commuting service could be organized and
run profitably from several suburban and downtown shopping mall
locations. Lon has gathered the following investment
information.
| 1. | Five used vans would cost a total of $74,538 to purchase and would have a 3-year useful life with negligible salvage value. Lon plans to use straight-line depreciation. | ||
| 2. | Ten drivers would have to be employed at a total payroll expense of $48,200. | ||
| 3. | Other annual out-of-pocket expenses associated with running the commuter service would include Gasoline $15,700, Maintenance $3,000, Repairs $4,100, Insurance $4,500, and Advertising $2,200. | ||
| 4. | Lon has visited several financial institutions to discuss funding. The best interest rate he has been able to negotiate is 15%. Use this rate for cost of capital. | ||
| 5. | Lon expects each van to make ten round trips weekly and carry an average of six students each trip. The service is expected to operate 30 weeks each year, and each student will be charged $12 for a round-trip ticket. |
Click here to view PV table.
(a)
Determine the annual (1) net income and (2) net annual cash flows
for the commuter service. (Round answers to 0 decimal
places, e.g. 125.)
| Net income | $ | ||
| Net annual cash flows | $ |
(b)
Compute (1) the cash payback period and (2) the annual rate of
return. (Round answers to 2 decimal places, e.g.
10.50.)
| Cash payback period | years | ||
| Annual rate of return | % |
(c)
Compute the net present value of the commuter service.
(Round answer to 0 decimal places, e.g. 125. If the net
present value is negative, use either a negative sign preceding the
number eg -45 or parentheses eg (45). For
calculation purposes, use 5 decimal places as displayed in the
factor table provided.)
| Net present value |
In: Accounting
7. Obtain the following summaries for Miles and Miles_1.
[Go to stat, Summary Stats, Columns, Select columns, choose Statistics, Compute.]
|
Variable |
N |
Mean |
Std |
Median |
Q1 |
Q3 |
Min |
Max |
Range |
IQR |
|
Miles |
||||||||||
|
Miles_1 |
Note you should notice that Mean ‘Miles’ is much larger than the Mean ‘Miles_1’, and Median ‘Miles’ is similar to ‘Median ‘Miles_1’. This justifies your results in Q3.
(a) Compute an estimate of standard deviation, s, for Miles_1 using Range/6 = _______________.
How close is this estimated s to the actual standard deviation of Miles_1:
Estimate s.d./Actual s.d. = _____________
Suppose a student has the Distance of 40. Use the Empirical rule based on the information of ‘Miles_1 variable to decide if this is an unusual Distance or not.
[Note: since the distribution of Miles_1 is not mounded-shaped, Empirical Rule does not work well. However, we can use Empirical rule to identify unusual cases.]
(e) Suppose a student has the Distance of 300. Compute the corresponding Z-score and using the Empirical rule to decide if this is an unusually far distance away from home or not.
| User_type | Gender | Grade | Miles | Region | U_size | Area | Right_Distance | Expense | Reputation | Friends | Scholarship | Friendly | Size | Small_Community | Right_University | In_State | Recommendation | Alumni |
| student | female | sophomore | 140 | mw | 20000_30000 | rural | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | freshman | 57 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 |
| student | male | sophomore | 72 | mw | 20000_30000 | rural | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| student | female | junior | 275 | mw | 10000_20000 | rural | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 100 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| student | male | junior | 125 | mw | 20000_30000 | rural | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| student | male | junior | 200 | se | 10000_20000 | rural | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | female | sophomore | 123 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | senior | 150 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 |
| student | male | junior | 65 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| student | male | sophomore | 170 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 |
| student | male | freshman | 120 | wc | 10000_20000 | rural | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| student | male | sophomore | 375 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 10 | mw | 10000_20000 | rural | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| student | male | sophomore | 62 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | graduate | 20 | mw | 20000_30000 | rural | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | female | senior | 142 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| student | male | junior | 151 | mw | 20000_30000 | rural | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | sophomore | 200 | mw | 10000_20000 | rural | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 132 | mw | 20000_30000 | rural | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
| student | female | junior | 41.6 | mw | 10000_20000 | rural | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | female | other | 200 | se | 20000_30000 | rural | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 |
| student | female | senior | 33 | mw | 20000_30000 | rural | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| student | male | sophomore | 20 | mw | 10000_20000 | rural | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| student | male | sophomore | 328 | ne | 10000_20000 | urban | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| student | male | freshman | 9000 | mw | 20000_30000 | rural | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | senior | 130 | se | 10000_20000 | urban | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | female | freshman | 180 | mw | 20000_30000 | rural | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 |
| student | male | sophomore | 40 | mw | 10000_20000 | rural | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 |
| student | female | junior | 100 | mw | 10000_20000 | rural | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| student | female | sophomore | 210 | mw | 20000_30000 | rural | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| student | male | junior | 200 | mw | 20000_30000 | rural | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| student | male | junior | 100 | ne | 10000_20000 | urban | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | senior | 150 | mw | 20000_30000 | rural | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| student | male | senior | 103 | mw | 20000_30000 | rural | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 143 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
| student | female | junior | 550 | mw | 10000_20000 | rural | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 140 | mw | 10000_20000 | rural | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| student | male | graduate | 136 | mw | 10000_20000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | female | freshman | 171 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | graduate | 4.1 | mw | 20000_30000 | rural | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 |
| student | male | senior | 8 | mw | 10000_20000 | urban | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 |
| student | male | junior | 200 | mw | 20000_30000 | rural | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 |
| student | male | junior | 140 | mw | 10000_20000 | rural | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 |
| student | female | sophomore | 130 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 65 | mw | 20000_30000 | rural | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | male | freshman | 137 | mw | 10000_20000 | rural | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| student | male | junior | 140 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 10 | mw | 10000_20000 | rural | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | female | junior | 100 | mw | 10000_20000 | rural | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |
| student | female | senior | 150 | mw | 10000_20000 | rural | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | freshman | 8.7 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 200 | mw | 10000_20000 | null | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 |
| student | male | sophomore | 50 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 120 | mw | 20000_30000 | rural | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 |
| student | female | sophomore | 56 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| student | male | senior | 2 | ne | 20000_30000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | female | junior | 170 | mw | 10000_20000 | rural | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | freshman | 133 | mw | 20000_30000 | rural | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 125 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |
| student | male | junior | 163 | ne | 10000_20000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | male | junior | 90 | mw | 20000_30000 | rural | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 |
| instructor | female | senior | 150 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | senior | 45 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | female | sophomore | 139 | mw | 20000_30000 | rural | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | male | sophomore | 160 | mw | 20000_30000 | rural | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 100 | mw | 10000_20000 | rural | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| student | male | sophomore | 50 | mw | 10000_20000 | rural | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | graduate | 115 | mw | 10000_20000 | rural | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | male | senior | 30 | mw | 20000_30000 | rural | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 40 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 0 | mw | 20000_30000 | rural | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
| student | male | junior | 2100 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | junior | 45 | mw | 10000_20000 | rural | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 |
| student | male | junior | 8 | mw | 10000_20000 | rural | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 |
| student | female | senior | 125 | mw | 20000_30000 | rural | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| student | male | graduate | 19 | mw | 20000_30000 | rural | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 |
| student | female | junior | 110 | mw | 10000_20000 | rural | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | female | junior | 60 | ne | 20000_30000 | rural | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| student | male | junior | 85 | mw | 20000_30000 | urban | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 |
| student | female | sophomore | 72 | mw | 20000_30000 | rural | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | male | graduate | 145 | mw | 20000_30000 | rural | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |
| instructor | male | other | 50 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | sophomore | 9999.99 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | junior | 15 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | male | sophomore | 145 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
| student | male | sophomore | 155 | mw | 20000_30000 | rural | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| student | female | other | 125 | mw | 20000_30000 | rural | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 120 | mw | 10000_20000 | rural | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| student | male | junior | 160 | mw | 20000_30000 | rural | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 130 | mw | 10000_20000 | rural | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 |
| student | female | senior | 0 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | freshman | 120 | mw | 20000_30000 | rural | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 |
| student | male | freshman | 170 | mw | 20000_30000 | urban | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | male | junior | 5 | mw | 10000_20000 | rural | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | male | junior | 120 | mw | 20000_30000 | rural | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 |
| student | female | junior | 150 | mw | 10000_20000 | rural | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 |
| student | male | sophomore | 70 | mw | 20000_30000 | rural | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | female | junior | 86.8 | mw | 10000_20000 | rural | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 |
| student | female | sophomore | 105 | mw | 10000_20000 | rural | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | freshman | 8000 | ne | 5000_10000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | senior | 996 | se | 20000_30000 | rural | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | male | freshman | 80 | mw | 20000_30000 | rural | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | sophomore | 124 | mw | 20000_30000 | rural | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | senior | 155 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |
| student | male | junior | 50 | mw | 20000_30000 | urban | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| student | female | sophomore | 70 | mw | 10000_20000 | urban | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 |
| student | male | senior | 55 | mw | 10000_20000 | rural | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 |
| student | male | sophomore | 150 | mw | 20000_30000 | rural | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| student | female | senior | 80 | mw | 20000_30000 | rural | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 |
| student | male | junior | 112 | mw | 20000_30000 | rural | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | senior | 150 | mw | 20000_30000 | rural | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 |
| student | female | sophomore | 160 | ne | 10000_20000 | rural | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 |
| student | male | freshman | 168 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | freshman | 67.7 | mw | 20000_30000 | rural | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
| student | male | junior | 125 | mw | 10000_20000 | rural | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| student | male | freshman | 9999.99 | mw | 20000_30000 | rural | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| student | male | sophomore | 113 | so | 20000_30000 | rural | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 120 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 |
| student | male | sophomore | 2184 | wc | 20000_30000 | rural | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| student | female | junior | 153 | se | 10000_20000 | rural | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 |
| student | female | sophomore | 55 | ne | 10000_20000 | rural | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 |
| student | female | sophomore | 2 | mw | 10000_20000 | rural | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| student | male | senior | 25 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 22 | ne | 20000_30000 | rural | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| student | male | senior | 150 | se | 10000_20000 | rural | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 73 | mw | 10000_20000 | rural | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 |
| student | male | senior | 65 | mw | 20000_30000 | rural | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |
| student | female | freshman | 3 | mw | 10000_20000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 100 | null | 20000_30000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| student | male | junior | 90 | mw | 20000_30000 | rural | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | female | senior | 30 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| student | female | sophomore | 238 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| student | male | freshman | 9000 | ne | 20000_30000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |
| student | male | senior | 110 | so | 10000_20000 | rural | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 |
| student | female | freshman | 45 | mw | 20000_30000 | rural | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | male | junior | 155 | mw | 20000_30000 | rural | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 |
| student | female | senior | 15 | mw | 10000_20000 | rural | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
| student | male | sophomore | 20 | mw | 5000_10000 | rural | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| student | male | graduate | 5 | mw | 20000_30000 | rural | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | graduate | 1.5 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | female | graduate | 12 | mw | 20000_30000 | rural | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | sophomore | 140 | mw | 10000_20000 | rural | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 |
| student | male | sophomore | 61 | mw | 10000_20000 | rural | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 |
| student | female | senior | 47 | mw | 10000_20000 | rural | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | senior | 132 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 130 | mw | 20000_30000 | rural | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| student | male | junior | 120 | mw | 10000_20000 | rural | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 45 | mw | 20000_30000 | urban | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 35 | mw | 20000_30000 | rural | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| student | female | junior | 85 | ne | 10000_20000 | rural | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | male | junior | 110 | ne | 10000_20000 | rural | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | sophomore | 110 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | junior | 100 | mw | 10000_20000 | rural | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| student | female | junior | 110 | mw | 20000_30000 | rural | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | junior | 105 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| student | male | sophomore | 120 | mw | 20000_30000 | rural | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 8 | mw | 20000_30000 | rural | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | senior | 1 | mw | 20000_30000 | rural | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
| student | male | senior | 250 | mw | 10000_20000 | rural | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | senior | 40 | ne | 20000_30000 | rural | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| student | male | senior | 65 | mw | 20000_30000 | rural | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | senior | 12 | se | 5000_10000 | rural | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
| student | male | senior | 160 | mw | 20000_30000 | rural | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | junior | 122 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | senior | 130 | mw | 20000_30000 | rural | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 |
| student | female | sophomore | 250 | mw | 10000_20000 | rural | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
| student | female | freshman | 6 | mw | 20000_30000 | urban | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | male | sophomore | 130 | mw | 20000_30000 | rural | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 130 | mw | 10000_20000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 154 | mw | 20000_30000 | rural | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| student | female | sophomore | 150 | mw | 20000_30000 | rural | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 |
| student | male | junior | 100 | mw | 20000_30000 | rural | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 280 | mw | 10000_20000 | rural | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 121 | mw | 20000_30000 | rural | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | female | junior | 60 | ne | 20000_30000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| student | male | junior | 150 | mw | 20000_30000 | rural | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 5 | ne | 10000_20000 | urban | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| student | female | sophomore | 93 | mw | 10000_20000 | rural | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| student | female | junior | 26 | mw | 20000_30000 | rural | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | male | senior | 65 | mw | 10000_20000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | male | sophomore | 155 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 |
| student | female | junior | 160 | se | 20000_30000 | rural | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | senior | 30 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 100 | mw | 10000_20000 | rural | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| student | male | sophomore | 60 | mw | 10000_20000 | rural | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | female | sophomore | 150 | mw | 10000_20000 | rural | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | sophomore | 2 | mw | 20000_30000 | rural | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| student | female | junior | 0 | mw | 10000_20000 | rural | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| student | male | sophomore | 100 | mw | 20000_30000 | urban | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | female | senior | 63 | ne | 20000_30000 | rural | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | junior | 90 | mw | 20000_30000 | rural | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 |
| student | female | junior | 160 | mw | 20000_30000 | rural | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | male | senior | 100 | mw | 10000_20000 | rural | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | female | senior | 143 | mw | 20000_30000 | rural | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| student | female | sophomore | 85 | mw | 20000_30000 | rural | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| student | female | senior | 50 | ne | 20000_30000 | urban | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | female | graduate | 15 | mw | 10000_20000 | rural | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 |
| student | female | senior | 1490 | so | 20000_30000 | rural | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| student | male | sophomore | 75 | mw | 20000_30000 | rural | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
In: Statistics and Probability
Lon Timur is an accounting major at a midwestern state
university located approximately 60 miles from a major city. Many
of the students attending the university are from the metropolitan
area and visit their homes regularly on the weekends. Lon, an
entrepreneur at heart, realizes that few good commuting
alternatives are available for students doing weekend travel. He
believes that a weekend commuting service could be organized and
run profitably from several suburban and downtown shopping mall
locations. Lon has gathered the following investment
information.
| 1. | Five used vans would cost a total of $75,000 to purchase and would have a 3-year useful life with negligible salvage value. Lon plans to use straight-line depreciation. | ||
| 2. | Ten drivers would have to be employed at a total payroll expense of $47,990. | ||
| 3. | Other annual out-of-pocket expenses associated with running the commuter service would include Gasoline $15,990, Maintenance $3,300, Repairs $4,010, Insurance $4,200, and Advertising $2,500. | ||
| 4. | Lon has visited several financial institutions to discuss funding. The best interest rate he has been able to negotiate is 15%. Use this rate for cost of capital. | ||
| 5. | Lon expects each van to make ten round trips weekly and carry an average of six students each trip. The service is expected to operate 30 weeks each year, and each student will be charged $12.05 for a round-trip ticket. |
Click here to view PV table.
(a)
Determine the annual (1) net income and (2) net annual cash flows
for the commuter service. (Round answers to 0 decimal
places, e.g. 125.)
| Net income | $ | ||
| Net annual cash flows | $ |
(b)
Compute (1) the cash payback period and (2) the annual rate of
return. (Round answers to 2 decimal places, e.g.
10.50.)
| Cash payback period | years | ||
| Annual rate of return | % |
(c)
Compute the net present value of the commuter service.
(Round answer to 0 decimal places, e.g. 125. If the net
present value is negative, use either a negative sign preceding the
number eg -45 or parentheses eg (45). For
calculation purposes, use 5 decimal places as displayed in the
factor table provided.)
| Net present value |
In: Accounting
Jeremy is a 25-year-old man training for an ultramarathon race of 50 miles. He is 5 feet, 10 inches tall and currently weighs 170 lb. During his long runs of more than 3 hours, he drinks water, approximately 30 oz., and consumes one GU (an energy supplement containing 100 kcal from simple sugar) at the 2-hour mark. Jeremy is coming to you for advice because he is becoming increasingly weak and nauseated toward the end of his runs. He reports feeling light-headed and irritable on his long training days. Jeremy states that he is eating an egg salad sandwich with two hard-boiled eggs mixed with 3 tbsp. of mayonnaise on whole wheat bread about 20 minutes before his run.
Questions for Analysis
In: Nursing
You are the manager of a new primary care clinic located about twenty five (25) miles outside of a small city (population of 50,000). With five (5) family physicians, two (2) nurse practitioners, two (2) physicians’ assistants (PAs), and twenty (20) clinical support staff consisting of RNs, LPNs, and CMAs, the clinic provides primary care services to a diverse community of people living and working outside the city limits. Originally a rural area, the community has been growing and now includes promising opportunities in employment, education, and comfortable living spaces for young families. However, there are still many residents who struggle to make ends meet with older farms that have belonged to families for generations.
The central city includes two (2) large acute care facilities, and one (1) tertiary care facility that is known for its excellent pulmonary care. Both acute care hospitals provide the usual services such as labor and delivery, outpatient surgery, chronic diseases care, etc. and have fully equipped ancillary departments, such as lab and radiology. Up until this point, the residents have used the facilities’ emergency departments for routine illnesses and conditions when their private physicians were not readily available.
Write a five to seven (5-7) page paper in which you:
Analyze some of the key social, political, and economic factors that have led to the proliferation of urgent care facilities and primary care practices over the last 20-30 years.
Create a comprehensive mission statement for the clinic, and discuss how it will facilitate the provision of quality services.
Analyze and discuss one (1) or more directions the clinic might take to grow its business. Determine what factors you would consider when deciding what services to provide in-house and which ones to affiliate with other institutions.
Decide how you will determine if the clinic is meeting its goals. Identify three (3) performance measurements you could use to evaluate the success of the clinic’s services. Begin by naming a goal, and then identify a quantifiable measurement you could use for each to determine if you are coming close or falling short of the goal.
Determine how you would then address whatever opportunities for improvement seem to exist and what processes you would put in place.
Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.
Format your assignment according to the following formatting requirements:
Typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.
In: Nursing