Provide summary statistics for ?, ?1, ?2. In particular, what is the mean, median, and standard deviation across your 51 observations? Report the results for two simple least-squares regression estimates: ? on ?1 and ? on ?2. For each regression, your report should include the estimate of the intercept, the estimate of the coefficient on the ? variable, as well as the standard error and P-value for each of those estimates. And in words, interpret these results. (How should we interpret the intercepts? What about the slope coefficients? What about the P-values?)
| State Name | X1 /Total of NICS Firearm Background Checks (12 months) | X2/ Gun Ownership | Y/ Gun Murder Rate per 100K |
| Alabama | 737,509 | 51.70% | 2.8 |
| Alaska | 85,621 | 57.80% | 2.7 |
| Arizona | 331,442 | 31.10% | 3.6 |
| Arkansas | 257,346 | 55.30% | 3.2 |
| California | 1,761,079 | 21.30% | 3.4 |
| Colorado | 454,062 | 34.70% | 1.3 |
| Connecticut | 307,750 | 16.70% | 2.7 |
| Delaware | 50,416 | 25.50% | 4.2 |
| District of Columbia | 742 | 3.60% | 16.5 |
| Florida | 1,147,082 | 24.50% | 3.9 |
| Georgia | 566,946 | 40.30% | 3.8 |
| Hawaii | 2,066 | 6.70% | 0.5 |
| Idaho | 15,290 | 55.30% | 0.8 |
| Illinois | 136,946 | 20.20% | 2.8 |
| Indiana | 1,247,398 | 39.10% | 2.2 |
| Iowa | 1,076,917 | 42.90% | 0.7 |
| Kansas | 147,309 | 42.10% | 2.2 |
| Kentucky | 185,859 | 47.70% | 2.7 |
| Louisiana | 3,218,371 | 44.10% | 7.7 |
| Maine | 372,613 | 40.50% | 0.8 |
| Maryland | 94,744 | 21.30% | 5.1 |
| Massachusetts | 18 | 12.60% | 1.8 |
| Michigan | 125,694 | 38.40% | 4.2 |
| Minnesota | 167,285 | 41.70% | 1 |
| Mississippi | 500,921 | 55.30% | 4 |
| Missouri | 519,244 | 41.70% | 5.4 |
| Montana | 252,372 | 57.70% | 1.2 |
| Nebraska | 584,875 | 38.60% | 1.8 |
| Nevada | 127,705 | 33.80% | 3.1 |
| New Hampshire | 79,340 | 30.00% | 0.4 |
| New Jersey | 127,480 | 12.30% | 2.8 |
| New Mexico | 136,816 | 34.80% | 3.3 |
| New York | 90,034 | 18.00% | 2.7 |
| North Carolina | 147,912 | 41.30% | 3 |
| North Dakota | 346,048 | 50.70% | 0.6 |
| Ohio | 531,876 | 32.40% | 2.7 |
| Oklahoma | 69,429 | 42.90% | 3 |
| Oregon | 748,502 | 39.80% | 0.9 |
| Pennsylvania | 359,276 | 34.70% | 3.6 |
| Rhode Island | 276,126 | 12.80% | 1.5 |
| South Carolina | 993,429 | 42.30% | 4.5 |
| South Dakota | 15,892 | 56.60% | 1 |
| Tennessee | 22,129 | 43.90% | 3.5 |
| Texas | 326,997 | 35.90% | 3.2 |
| Utah | 100,268 | 43.90% | 0.8 |
| Vermont | 654,192 | 42.00% | 0.3 |
| Virginia | 1,574,266 | 35.10% | 3.1 |
| Washington | 254,814 | 33.10% | 1.4 |
| West Virginia | 34,588 | 55.40% | 1.5 |
| Wisconsin | 1,342 | 44.40% | 1.7 |
| Wyoming | 462,997 | 59.70% | 0.9 |
In: Statistics and Probability
Case study: Deciding what is effective from different perspectives
The aim of this case study is to illustrate the sometimes competing demands of effectiveness, efficiency and equity. In particular, it should help you to:
Explain what is meant by key terms such as ‘LYG’, ‘QALY’ and ‘ICER’
Use these terms and the information they represent in a decision-making scenario ? Compare and contrast the demands of effectiveness from different perspectives
Scenario
You are a member of an area prescribing committee (APC) which is reviewing the treatment options for a cancer which is universally rapidly fatal (usually within months) if not treated. For the purposes of this cases study, please assume the following:
There is good evidence supporting the effectiveness of three medicines (A, B and C) in improving health outcomes.
The treatments are mutually exclusive: there is no evidence that patients are better off switching from one to another.
Effectiveness does not depend on patient or disease characteristics.
All costs fall within the first year of treatment.
Costs vary only according to the drug selected, since staff time, etc. are fixed and are the same requirements for each treatment.
The annual budget available for commissioning treatment is US$500,000. ? The incidence of this cancer in the area covered by your APC is 1,000 new cases each year.
The health economic data are summarized below:
|
Treatment |
Life-Year Gained |
Health Utility Index (in each year) |
Cost (per patient) |
|
A (current practice) |
0.3 |
0.8 |
$500 |
|
B |
0.6 |
0.6 |
$1,000 |
|
C |
0.5 |
0.5 |
$800 |
Question 1: Given the available budget of $500,000 per year, how many people could be treated with each option? Please show your calculation and explain briefly about why the current practice is Treatment A. (20%)
Question 2: Measuring the cost-effectiveness by the incremental cost-effectiveness ratio (ICER), compared with the current practice, which treatment (B or C) is more cost-effective for a hospital use? Please show your calculation and explain briefly. (20%)
Question 3: From a patient perspective, which treatment is the most effective by considering the quality of life? Please show your calculation and explain briefly. (20%)
Question 4: From a society perspective, which treatment generates the greatest health gains given the funds available? Please show your calculation and explain briefly. (20%)
Question 5: Which treatment would you recommend to the area prescribing committee (APC): A, B or C? Please discuss your choice from perspectives of equity, efficiency and effectiveness. (20%)
In: Economics
The aim of this case study is to illustrate the sometimes competing demands of effectiveness, efficiency and equity. In particular, it should help you to:
Explain what is meant by key terms such as ‘LYG’, ‘QALY’ and ‘ICER’
Use these terms and the information they represent in a decision-making scenario
Compare and contrast the demands of effectiveness from different perspectives
Scenario You are a member of an area prescribing committee (APC) which is reviewing the treatment options for a cancer which is universally rapidly fatal (usually within months) if not treated. For the purposes of this cases study, please assume the following:
There is good evidence supporting the effectiveness of three medicines (A, B and C) in improving health outcomes.
The treatments are mutually exclusive: there is no evidence that patients are better off switching from one to another.
Effectiveness does not depend on patient or disease characteristics.
All costs fall within the first year of treatment.
Costs vary only according to the drug selected, since staff time, etc. are fixed and are the same requirements for each treatment.
The annual budget available for commissioning treatment is US$500,000.
The incidence of this cancer in the area covered by your APC is 1,000 new cases each year.
The health economic data are summarized below:
Treatment
A
B
C
Life-Year Gained
A. 0.3
B. 0.6
C. 0.5
Health Utility Index (in each year)
A. 0.8
B. 0.6
C. 0.5
Cost (per patient) A (current practice)
A. $500
B. $1000
C. $800
Question 1: Given the available budget of $500,000 per year, how many people could be treated with each option? Please show your calculation and explain briefly about why the current practice is Treatment A. (20%)
Question 2: Measuring the cost-effectiveness by the incremental cost-effectiveness ratio (ICER), compared with the current practice, which treatment (B or C) is more cost-effective for a hospital use? Please show your calculation and explain briefly. (20%)
Question 3: From a patient perspective, which treatment is the most effective by considering the quality of life? Please show your calculation and explain briefly. (20%)
Question 4: From a society perspective, which treatment generates the greatest health gains given the funds available? Please show your calculation and explain briefly. (20%)
Question 5: Which treatment would you recommend to the area prescribing committee (APC): A, B or C? Please discuss your choice from perspectives of equity, efficiency and effectiveness. (20%)
In: Economics
I Love My Chocolate Company makes dark chocolate and light chocolate. Both products require cocoa and sugar. The following planning information has been made available:
| Standard Amount per Case | ||||||
| Dark Chocolate | Light Chocolate | Standard Price per Pound | ||||
| Cocoa | 9 lbs. | 6 lbs. | $4.20 | |||
| Sugar | 7 lbs. | 11 lbs. | 0.60 | |||
| Standard labor time | 0.3 hr. | 0.4 hr. | ||||
| Dark Chocolate | Light Chocolate | |||
| Planned production | 4,600 cases | 12,500 cases | ||
| Standard labor rate | $16.00 per hr. | $16.00 per hr. | ||
I Love My Chocolate Company does not expect there to be any beginning or ending inventories of cocoa or sugar. At the end of the budget year, I Love My Chocolate Company had the following actual results:
| Dark Chocolate | Light Chocolate | |||
| Actual production (cases) | 4,400 | 13,000 | ||
| Actual Price per Pound | Actual Pounds Purchased and Used | |||
| Cocoa | $4.30 | 118,200 | ||
| Sugar | 0.55 | 169,500 | ||
| Actual Labor Rate | Actual Labor Hours Used | |||
| Dark chocolate | $15.60 per hr. | 1,200 | ||
| Light chocolate | 16.40 per hr. | 5,330 | ||
Required:
1. Prepare the following variance analyses for both chocolates and the total, based on the actual results and production levels at the end of the budget year:
a. Direct materials price variance, direct materials quantity variance, and total variance.
b. Direct labor rate variance, direct labor time variance, and total variance.
Enter a favorable variance as a negative number using a minus sign and an unfavorable variance as a positive number.
| a. | Direct materials price variance | $fill in the blank 1 | Unfavorable |
| Direct materials quantity variance | $fill in the blank 3 | Favorable | |
| Total direct materials cost variance | $fill in the blank 5 | Unfavorable | |
| b. | Direct labor rate variance | $fill in the blank 7 | Unfavorable |
| Direct labor time variance | $fill in the blank 9 | Unfavorable | |
| Total direct labor cost variance | $fill in the blank 11 | Unfavorable |
2. The variance analyses should be based on the standard amounts at actual volumes. The budget must flex with the volume changes. If the actual volume is different from the planned volume, as it was in this case, then the budget used for performance evaluation should reflect the change in direct materials and direct labor that will be required for the actual production. In this way, spending from volume changes can be separated from efficiency and price variances.
In: Accounting
I don’t understand this. Last year [year 1], we decided to drop our highest-end Red model and only produce the Yellow and Green models, because the cost system indicated we were losing money on Red. Now, looking at the preliminary numbers, our profit is actually lower than last year and it looks like Yellow has become a money loser, even though our prices, volumes, and direct costs are the same. Can someone please explain this to me and maybe help me decide what to do next year?
Robert Dolan
President & CEO
Dolan Products
Dolan Products is a small, family-owned audio component manufacturer. Several years ago, the company decided to concentrate on only three models, which were sold under many brand names to electronic retailers and mass-market discount stores. For internal purposes, the company uses the product names Red, Yellow, and Green to refer to the three components.
Data on the three models and selected costs follow:
| Year 1 | Red | Yellow | Green | Total | ||||||
| Units produced and sold | 6,000 | 11,000 | 21,000 | 38,000 | ||||||
| Sales price per unit | $ | 160 | $ | 130 | $ | 60 | ||||
| Direct materials cost per unit | $ | 75 | $ | 55 | $ | 35 | ||||
| Direct labor-hours per unit | 3 | 2 | 0.3 | |||||||
| Wage rate per hour | $ | 13 | $ | 13 | $ | 13 | ||||
| Total manufacturing overhead | $833,400 | |||||||||
This year (year 2), the company only produced the Yellow and Green
models. Total overhead was $764,100. All other volumes, unit
prices, costs, and direct labor usage were the same as in year 1.
The product cost system at Dolan Products allocates manufacturing
overhead based on direct labor hours.
Required:
a. Compute the product costs and gross margins (revenue less cost of goods sold) for the three products and total gross profit for year 1. (Do not round intermediate calculations. Negative amounts should be indicated by a minus sign. Round your answers to 2 decimal places.)
b. Compute the product costs and gross margins
(revenue less cost of goods sold) for the two remaining products
and total gross profit for year 2. (Do not round
intermediate calculations. Negative amounts should be indicated by
a minus sign. Round your answers to 2 decimal
places.)
c. Should Dolan Products drop Yellow for year 3?
| Yes | |
| No |
In: Accounting
John Fleming, chief administrator for Valley View Hospital, is concerned about the costs for tests in the hospital’s lab. Charges for lab tests are consistently higher at Valley View than at other hospitals and have resulted in many complaints. Also, because of strict regulations on amounts reimbursed for lab tests, payments received from insurance companies and governmental units have not been high enough to cover lab costs.
Mr. Fleming has asked you to evaluate costs in the hospital’s lab for the past month. The following information is available:
Valley View Hospital has never used standard costs. By searching industry literature, however, you have determined the following nationwide averages for hospital labs:
Plates: Two plates are required per lab test. These plates cost $5.00 each and are disposed of after the test is completed.
Labor: Each blood test should require 0.3 hours to complete, and each smear should require 0.15 hours to complete. The average cost of this lab time is $20 per hour.
Overhead: Overhead cost is based on direct labor-hours. The average rate for variable overhead is $6 per hour.
Required:
1. Compute a materials price variance for the plates purchased last month and a materials quantity variance for the plates used last month.
2. For labor cost in the lab:
a. Compute a labor rate variance and a labor efficiency variance.
b. In most hospitals, one-half of the workers in the lab are senior technicians and one-half are assistants. In an effort to reduce costs, Valley View Hospital employs only one-fourth senior technicians and three-fourths assistants. Would you recommend that this policy be continued?
3-a. Compute the variable overhead rate and efficiency variances.
3-b. Is there any relation between the variable overhead efficiency variance and the labor efficiency variance?
In: Accounting
When a surgeon repairs injuries, sutures (stitched knots) are used to hold together and stabilize the injured area. If these knots elongate and loosen through use, the injury may not heal properly because the tissues would not be optimally positioned. Researchers at a university tied a series of different types of knots with two types of suture material, Maxon and Ticron.
Suppose that 112 tissue specimens were available and that for each specimen the type of knot and suture material were randomly assigned. The investigators tested the knots to see how much the loops elongated. The elongations (in mm) were measured and the resulting data are summarized below. For purposes of this exercise, assume it is reasonable to regard the elongation distributions as approximately normal.
| Maxon | |||
|---|---|---|---|
| Types of knot | n |
x |
sd |
| Square (control) | 10 | 10.7 | 0.1 |
| Duncan Loop | 15 | 11.6 | 0.3 |
| Overhand | 15 | 11.0 | 0.9 |
| Roeder | 10 | 13.5 | 0.1 |
| Snyder | 10 | 13.5 | 2.0 |
| Ticron | |||
|---|---|---|---|
| Types of knot | n |
x |
sd |
| Square (control) | 10 | 2.6 | 0.06 |
| Duncan Loop | 11 | 11.5 | 0.40 |
| Overhand | 11 | 8.1 | 1.00 |
| Roeder | 10 | 5.0 | 0.04 |
| Snyder | 10 | 8.1 | 0.06 |
(a)
Is there a significant difference in mean elongation between the square knot and the Duncan loop for Maxon thread? (Use α = 0.05. Use a statistical computer package to calculate the P-value.Use μSquare Knot − μDuncan Loop. Round your test statistic to two decimal places, your df down to the nearest whole number, and your P-value to three decimal places.)
t= df = P-value =
(b)
Is there a significant difference in mean elongation between the square knot and the Duncan loop for Ticron thread? (Use α = 0.05. Use a statistical computer package to calculate the P-value.Use μSquare Knot − μDuncan Loop. Round your test statistic to two decimal places, your df down to the nearest whole number, and your P-value to three decimal places.)
t= df = P-value =
(c)
For the Duncan loop knot, is there a significant difference in mean elongation between the Maxon and Ticron threads? (Use α = 0.05. Use a statistical computer package to calculate the P-value.Use μMaxon − μTicron. Round your test statistic to two decimal places, your df down to the nearest whole number, and your P-value to three decimal places.)
t= df = P-value =
In: Statistics and Probability
As a stock analyst, your boss, Jerry, has asked you to compile some information on stock of Southern Infrastructure Corporation including a 95% confidence interval for the mean daily return that he needs to include in a report to senior management. He says that he is also not sure exactly what a 95% confidence interval means and would like you to add an explanation.
You have been following the share price of Southern Infrastructure Corporation and have recorded the daily return (as a percentage) for the last 120 days. The data is presented here:
Download the data
| Daily returns (%) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.039 | 0.626 | 0.267 | 0.389 | -0.066 | 1.549 | 0.698 | 1.6 | 0.761 | -1.392 | 0.718 | 0.885 |
| -0.154 | 0.894 | -0.24 | 1.366 | 0.625 | -0.279 | 0.027 | 0.429 | 0.951 | 1.449 | 1.995 | 1.131 |
| 2.049 | 2.932 | 1.935 | -0.911 | 2.24 | 1.46 | 0.644 | 1.45 | 1.799 | 0.677 | 1.568 | 1.24 |
| 0.878 | 1.159 | 0.879 | 1.053 | 1.859 | 0.08 | 0.489 | -0.756 | 0.325 | 0.125 | 0.335 | 1.483 |
| 1.517 | 2.525 | 0.739 | 1.147 | 0.354 | 3.04 | 0.512 | 0.485 | -3.311 | 1.978 | 1.326 | 0.295 |
| -0.272 | 1.235 | 0.176 | 1.127 | 1.324 | 2.366 | 0.262 | 1.842 | -0.52 | -0.335 | 2.027 | 2.639 |
| 0.713 | 2.337 | 0.141 | 1.385 | 2.316 | -0.142 | 1.744 | -0.503 | -0.567 | -0.446 | 1.176 | 0.122 |
| -0.331 | 0.098 | 0.22 | 1.072 | -0.079 | 0.49 | 0.405 | 0.531 | 2.242 | -0.429 | 0.3 | -0.81 |
| 0.551 | 2.201 | -0.315 | 2.392 | 0.038 | -0.616 | 1.825 | 3.129 | -0.319 | 0.404 | 0.696 | 0.74 |
| 0.795 | -1.872 | 1.128 | 1.58 | 1.531 | 0.182 | -1.597 | -1.231 | 0.758 | 1.078 | -2.278 | 0.708 |
Historically, the standard deviation in daily return for this stock is 1.1%.
Complete the report to your boss. Give your numeric answers to 3 decimal places.
| Sent: | July 24, 2019 11:10 AM |
| To: | Jerry Kendall |
| Subject: | Southern Infrastructure Corp. stock info |
Dear Jerry,
Here are the results gathered from the collected data:
Assuming a population standard deviation in daily return of 1.1%, the 95% confidence interval for the mean daily return is:
a) ≤ μ ≤
b)This means that
approximately 95% of sample means will be within the interval
given above
using a process that gives correct results in 95% of cases, the
population mean daily return is within the interval given
above
the population mean daily return is definitely within the interval
given above
on approximately 95% of days in a given period the stock makes a
return within the interval given above
In: Statistics and Probability
DataSpan, Inc., automated its plant at the start of the current year and installed a flexible manufacturing system. The company is also evaluating its suppliers and moving toward Lean Production. Many adjustment problems have been encountered, including problems relating to performance measurement. After much study, the company has decided to use the performance measures below, and it has gathered data relating to these measures for the first four months of operations.
|
Month |
|||||
| 1 | 2 | 3 | 4 | ||
| Throughput time (days) | ? | ? | ? | ? | |
| Delivery cycle time (days) | ? | ? | ? | ? | |
| Manufacturing cycle efficiency (MCE) | ? | ? | ? | ? | |
| Percentage of on-time deliveries | 74% | 75% | 80% | 87% | |
| Total sales (units) | 10,430 | 10,550 | 10,550 | 10,500 | |
Management has asked for your help in computing throughput time, delivery cycle time, and MCE. The following average times have been logged over the last four months:
|
Average per Month (in days) |
|||||||||
| 1 | 2 | 3 | 4 | ||||||
| Move time per unit | 0.7 | 0.6 | 0.5 | 0.8 | |||||
| Process time per unit | 0.5 | 0.7 | 0.4 | 0.8 | |||||
| Wait time per order before start of production | 9.3 | 8.0 | 5.0 | 4.0 | |||||
| Queue time per unit | 3.5 | 3.3 | 2.8 | 1.5 | |||||
| Inspection time per unit | 0.3 | 0.7 | 0.6 | 0.7 | |||||
Required:
1-a. Compute the throughput time for each month. (Round your answers to 1 decimal place.)
1-b. Compute the manufacturing cycle efficiency (MCE) for each month. (Round your answers to 1 decimal place.)
1-c. Compute the delivery cycle time for each month. (Round your answers to 1 decimal place.)
3-a. Refer to the move time, process time, and so forth, given for month 4. Assume that in month 5 the move time, process time, and so forth, are the same as in month 4, except that through the use of Lean Production the company is able to completely eliminate the queue time during production. Compute the new throughput time and MCE. (Round your answers to 1 decimal place.)
3-b. Refer to the move time, process time, and so forth, given for month 4. Assume in month 6 that the move time, process time, and so forth, are again the same as in month 4, except that the company is able to completely eliminate both the queue time during production and the inspection time. Compute the new throughput time and MCE. (Round your answers to 1 decimal place.)
In: Accounting
Exercise 11-12 Variance Analysis in a Hospital.
John Fleming, chief administrator for Valley View Hospital, is concerned about the costs for tests in the hospital’s lab. Charges for lab tests are consistently higher at Valley View than at other hospital and have resulted in many complaints. Also, because of strict regulations on amount reimbursed for lab tests, payments received from insurance companies and governmental units have not been high enough to cover lab costs.
Mr. Fleming has asked you to evaluate costs in the hospital’s lab for the past month. The following information is available:
Two types of tests are performed in the lab—blood tests and smears. During the past month, 1,800 blood tests and 2,400 smears were performed in the lab.
Small glass plates are used in both types of tests. During the past month, the hospital purchased 12,000 plates at a cost of $28,200. 1,500 of these plates were amused at the end of the month; no plates were on hand at the beginning of the month.
During the past month, 1,150 hours of labor time were recorded in the lab at a cost of $13,800.
The lab’s variable overhead cost last month totalled $7,820.
Valley View Hospital has never used standard costs. By searching industry literature, however, you have determined the following nationwide averages for hospital labs:
Plates: Two plates are required per lab test. These plates cost $2.50 each and are disposed of after the test is completed.
Labour: Each blood test should require 0.3 hours to complete, and each smear should require 0.15 hours to complete. The average cost of this lab time is $14 per hour.
Overhead: Overhead cost is based on direct labor-hours. The average rate for variable overhead is $6 per hour.
Required:
Compute a materials price variance for the plates purchased last month and materials quantity variance for the plates used last month.
For labor costs in the lab:
Compute a labor rate variance and labor efficiency variance.
In most hospitals, one-half of the workers in the lab are senior technicians and one-half are assistants. In an effort to reduce costs, Valley View Hospital employs only-one-forth senior technicians and three -forths assistants. Would you recommend that this policy be continued? Explain.
Compute the variable overhead rate and efficiency variances. In there any relation between the variable overhead efficiency variance and the labor efficiency variance? Explain.
In: Accounting