|
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (X) and the amount of fire damage, in thousands of dollars (Y). The MegaStat output is reported below. |
| ANOVA table | ||||||||||||
| Source | SS | df | MS | F | ||||||||
| Regression | 1,865.5782 | 1 | 1,865.5782 | 39.71 | ||||||||
| Residual | 1,315.4934 | 28 | 46.9819 | |||||||||
| Total | 3,181.0716 | 29 | ||||||||||
| Regression output | |||||||||
| Variables | Coefficients | Std. Error | t(df=28) | ||||||
| Intercept | 12.5538 | 3.0301 | 3.678 | ||||||
| Distance-X | 3.4664 | 8.63 | 6.3 | ||||||
| (a-1) | Write out the regression equation. (Round your answers to 3 decimal places.) |
| Y = + X. |
| (a-2) |
Is there a direct or indirect relationship between the distance from the fire station and the amount of fire damage? |
| The relationship between distance and damage is (Click to select)directinverse. |
| (b) |
How much damage would you estimate (in dollars) for a fire 10 miles from the nearest fire station? (Round your answer to the nearest dollar amount.) |
| Estimated damage | $ |
| (c-1) | Determine the coefficient of determination. (Round your answer to 3 decimal places.) |
| Coefficient of determination |
| (c-2) |
Fill in the blank below. (Round your answer to 1 decimal place.) |
| % of the variation in damage is explained by variation in distance. |
| (d-1) | Determine the coefficient of correlation. (Round your answer to 3 decimal places.) |
| Coefficient of correlation |
| (d-2) | Choose the right option. |
| There is a fairly solid (Click to select)directinverse link between the variables. |
| (d-3) | How did you determine the sign of the correlation coefficient? |
| It is (Click to select)zeronegativepositive because the slope is (Click to select)negativepositivezero. |
| (e-1) |
State the decision rule for 0.01 significance level: H0 : ρ = 0; H1 : ρ ≠ 0. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.) |
| Reject H0 if t < or t > |
| (e-2) | Compute the value of the test statistic. (Round your answer to 2 decimal places.) |
| Value of the test statistic |
| (e-3) |
Is there any significant relationship between the distance from the fire station and the amount of damage? Use the 0.01 significance level. |
| (Click to select)Do not rejectReject H0. There is (Click to select)no significantsignificant relationship between distance and fire damage. |
In: Statistics and Probability
a case study with research
San Pico is a rapidly growing Latin American developing country. The country is blessed with miles of scenic beaches that have attracted tourists by the thousands in recent years to new resort hotels financed by joint ventures of San Pico businessmen and moneymen from the Middle East, Japan, and the United States. Additionally, San Pico has good natural harbors that are conducive for receiving imported merchandise from abroad and exporting merchandise produced in San Pico and other surrounding countries that lack access to the sea. Because of these advantages, many new businesses are being started in San Pico.
Presently, stock is traded in a cramped building in La Cobijio, the nation’s capital. Admittedly, the San Pico Stock Exchange system is rather archaic. Twice a day an official of the exchange will call out the name of each of the 43 companies whose stock trades on the exchange. Brokers wanting to buy or sell shares for their clients then attempt to make a trade with one another. This crowd trading system has worked well for over one hundred years, but the government desires to replace it with a new modern system that will allow greater and more frequent opportunities for trading in each company, and will allow for trading the shares of the many new start-up companies that are expected to trade in the secondary market. Additionally, the government administration is rapidly privatizing many state-owned businesses in an attempt to foster their efficiency, obtain foreign exchange from the sale, and convert the country to a more capitalist economy. The government believes that it could conduct this privatization faster and perhaps at more attractive prices if it had a modern stock exchange facility where the shares of the newly privatized companies will eventually trade.
You are an expert in the operation of secondary stock markets and have been retained as a consultant to the San Pico Stock Exchange to offer your expertise in modernizing the stock market.
Should they implement a modernized floor (outcry) and automated trading system such as the New York Stock Exchange? Provide an explanation as to how this would be feasible or not.
Would a system such as the NASDAQ be more beneficial considering the size of the country? Explain.
Explain the significant role played by the new exchange in facilitating capital market activity.
Explain why in its present state the exchange may or may not promote requisite liquidity and its significance.
Briefly discuss a regulatory framework needed to assure market integrity.
Discuss potential listing requirements.
How would the exchange serve as a barometer of economic activity?
In: Finance
Maria’s Bakery was established in 1950 when Jerry and Maria
arrived from a northern province of Italy and made their home in
Brighton, Massachusetts. Bakers by trade in the “old country”,
their goal was to establish a bakery.
Brighton is a city located some five miles west of Boston which
became a destination for many immigrant Italian families in the
1950s. With an already established target market for Jerry and
Maria, it was not difficult to develop a clientele for the breads
and pastries that were a part of the Italian lifestyle. The bakery
made its debut in the small kitchen of a row house that became the
first home of the young immigrant couple.
The couple started a family early on and brought into the world two
sons, Bruno and Paulo, who would both be raised in the midst of the
family business. In the 1960s the business finally moved out of the
cluttered row home into retail space in the center of town. The
business was established and opened under the name of Maria’s
Italian Bakery.
By the 1990s, Jerry and Maria were getting ready for retirement.
The business had stopped growing many years ago and they were ready
to hopefully pass it on to their two sons. Both boys had attended
college and moved on to their own careers, but were interested in
taking over the family business.
At this point in time, the demographics of Brighton had changed
dramatically. The Italian population, which at one time was the
majority ethnic group, had dwindled significantly. Brighton, just
as it had in the 1950s, now became a haven for many other ethnic
groups such as Indians, Pakistanis, and Hispanics. The large
Italian population, tired of the cramped city landscape, had moved
to the suburbs.
Bruno and Paulo, using the education that their parents worked so
hard to give them, recognized the shift in demographics and
recommended to their parents that the bakery name be changed to
Maria’s Bakery. This, in their estimation, would open the door to
carry other bakery products to meet the needs of the demographics
now dominate in the Newton market.
Jerry and Maria were very upset at this recommendation, but
realized that they worked hard for their children’s education and
should listen to their proposal. They agreed and asked the boys to
enlist the services of a marketing research consultant to back up
their claims.
You have been hired as that consultant and your job is to establish
a plan to gather enough data to support a name and product
assortment change. Because this is a fictitious scenario, you will
not be expected to collect primary data. This is a proposal
explaining how you intend to make your final recommendations to the
owners.
Your report must include the following:
Define the problem, and then Explain the research objectives.
In: Finance
In which society/societies does the balance of power between men and women shift to men? Select one:
A. Hunting and Gathering B. Industrial C. Postindustrial D. Horticultural and Agricultural
Which of the following family names is a member of the lower-upper class or the "nouveau riche"? Select one:
A. Bill and Melinda Gates, who founded Microsoft B. the DuPont family, who arrived in America in the 18th century C. the Carnegie family, who built America's steel empire D. the Rockefeller family, who became the oil barons of the 19th century
When it comes to race relations this is an important principle to understand: Select one:
A. People act on perceptions and beliefs, not facts. B. There are only four pure races. C. Interracial marriage, the superior race gets inferior traits. D. Race is one of the most important reasons that people do what they do.
Policies set by the federal government largely determined the fate of ______. These policies evolved through several stages which includes separation, extermination, and forced assimilation. Select one:
A. Native Americans B. Mexican Americans C. Japanese Americans D. African Americans
According to this perspective, children must first learn the meaning of "girl" and "boy" and then place themselves in the appropriate category. Select one:
A. Gender equity B. Symbolic Interactionist C. Conflict D. Functionalist
Within a _____ system, a fixed social position is determined at birth; within a _____ system, a person's social position can change over time. Select one:
A. Caste; Class B. Party; Status C. Educational; Income D. Class; Caste
_____ are one of the most disadvantaged groups in the United States. Anywhere from 50 to 80 percent are unemployed and their suicide rate is twice the national average. Select one:
A. African Americans B. Cuban Americans C. Puerto Rican Americans D. Native Americans
According to this ideology, all causes of inequality are related to each other. Thus, the inequality women experience because of their gender may be reinforced by their social class or race. Select one:
a. libertarian b. gender equity c. women's movement d. inclusive feminism
In the winter of 1838-1839, the U.S. Army rounded up 15,000 Cherokees and forced them to walk 1,000 miles from the Carolinas and Georgia to Oklahoma. This event is called: Select one:
A. Trail of Tears B. Native Assimilation C. The Cherokee Roundup D. The Warning Shot
According to this view, the inequality that women experience because of their gender may be reinforced by their social class and racial characteristics. Select one:
A. Inclusive feminism B. Glass ceiling C. Gender equality D. Feminism
In: Economics
You are in the middle of your shift in the coronary care unit
(CCU) of a large urban medical center. Your
new admission, C.B., a 47-year-old woman, was just flown to your
institution from a small rural community
more than 100 miles away. She had a STEMI (ST segment elevation
myocardial infarction) last
evening. Her current vital signs (VS) are 100/60, 86, 14. After you
make C.B. comfortable, you receive
this report from the flight nurse: “C.B. is a full-time homemaker
with four children. She has had episodes
of 'chest tightness' with exertion for the past year, but this is
her first known MI. She has a history of
hyperlipidemia and has smoked one pack of cigarettes daily for 30
years. Surgical history consists of total
abdominal hysterectomy 10 years ago after the birth of her last
child. She has no other known medical
problems. Yesterday at 8 pm, she began to have severe substernal
chest pain that referred into her neck
and down both arms. She rated the pain as 9 or 10 on a 0-to-10
scale. She thought it was severe indigestion
and began taking Maalox with no relief. Her husband then took her
to the local emergency department,
where a 12-lead electrocardiogram (ECG) showed hyperacute ST
elevation in the inferior leads II,
III, aVF and V5 to V6. Before tissue plasminogen activator could be
given, she went into ventricular fibrillation
(V-fib). CPR was started and when the code team arrived, she was
successfully defibrillated after
two shocks. She then was started on nitroglycerin (NTG), heparin,
and amiodarone drips. She was given
IV metoprolol and aspirin 325 mg to chew and swallow. This morning
her systolic pressure dropped into
the 80s, and she was placed on a low-dose norepinephrine drip and
urgently flown to your institution for
coronary angiography and possible percutaneous transluminal
coronary angioplasty. Currently, she has
amiodarone infusing at 1 mg/min, heparin at 1200 units/hr, and
norepinephrine at 0.5 mcg/kg/min. The
NTG has been stopped because of low blood pressure. Laboratory work
that was done yesterday showed
Na 145 mEq/L, K 3.6 mEq/L, HCO3 19 mEq/L, BUN 9 mg/dL, creatinine
0.8 mg/dL, WBC 14,500/mm3, Hct
44.3%, and Hgb 14.5 g/dL.”
Please help me write the SBAR for this case
In: Nursing
Group 4:
Course Project Case Study: Mr. Lopez is an 85 year-old Hispanic man who was admitted to the hospital with complaints of fatigue, decreased appetite, and a 25 pound weight loss over the past six months. He also reports change in his short term memory. He used to be active with his local retired friends and walked 1.5 miles a day but now spends most of his time in his recliner watching television. He has a medical history of coronary artery disease and hypertension.
Orders include:
Regular diet, calorie count
Ensure shakes TID daily
Ambulate TID daily, stand by assist
Daily weights
Warfarin 2 mg PO daily
Digoxin 125 mcg PO daily
Atorvastatin 20 mg PO daily
Escitalopram 10 mg PO daily
Metoprolol 50 mg PO BID
Do not resuscitate
1. Medical history- Describe the pathophysiology of the medical diagnoses of your assigned patient. Include the admitting diagnosis as number one and then four other medical diagnoses (for a total of 5). The admitting diagnosis is reason for being in the facility. If post-surgical, include surgery and reason for surgery. The secondary diagnoses include a history of pre-existing medical diagnoses). You need to include 4 secondary diagnoses. If your patient does not have a total of five medical diagnoses put N/A - you must note that in your paper or you will lose points. For each diagnosis, provide at least a 5 sentence explanation of the pathophysiology of the condition/problem. MAKE SURE YOU CITE YOUR SOURCES.
2. Nursing Care Plan- 4 nursing diagnoses, one short-term and one long-term goal PER NURSING DIAGNOSIS, and three interventions PER NURSING DIAGNOSIS (not per goal, unless you want to). Prioritize per Maslow with an explanation and an expected evaluation. Make sure to include a teaching plan in your care plan. Upload the table below into your paper. Include the following in your paper: Which of your nursing diagnoses are priority using Maslow’s Hierarchy of Needs? If you were to implement this plan of care, would you expect any of your short-term expected outcomes met during your shift? Explain. How might you revise your care plan next time to achieve at least one outcome during your shift?
In: Nursing
A company with a large fleet of cars hopes to keep gasoline costs down and sets a goal of attaining a fleet average of at least
2424
miles per gallon. To see if the goal is being met, they check the gasoline usage for
5050
company trips chosen at random, finding a mean of
22.0522.05
mpg and a standard deviation of
5.555.55
mpg. Is this strong evidence they have failed to attain their fuel economy goal? Complete parts a through e below.
a) Write appropriate hypotheses.
Which hypotheses below will test if the company failed to attain their goal?
A.
Upper H 0H0:
muμequals=2424
Upper H Subscript Upper AHA:
muμnot equals≠2424
B.
Upper H 0H0:
muμless than<2424
Upper H Subscript Upper AHA:
muμequals=2424
C.
Upper H 0H0:
muμgreater than>2424
Upper H Subscript Upper AHA:
muμequals=2424
D.
Upper H 0H0:
muμnot equals≠2424
Upper H Subscript Upper AHA:
muμequals=2424
E.
Upper H 0H0:
muμequals=2424
Upper H Subscript Upper AHA:
muμgreater than>2424
F.
Upper H 0H0:
muμequals=2424
Upper H Subscript Upper AHA:
muμless than<2424
b) Are the necessary assumptions to perform inference satisfied?
A.
No, the nearly normal condition is not satisfied.
B.
No, the randomization condition is not satisfied.
C.
No, the 10% condition is not satisfied.
D.
Yes, all the necessary assumptions are satisfied or can be assumed to be satisfied.
c) Test the hypothesis and find the P-value.
The P-value is
nothing.
(Round to three decimal places as needed.)
d) Explain what the P-value means in this context.
Choose the correct answer below.
A.The P-value is the probability of obtaining a sample mean of
22.0522.05
mpg or more if the mean mileage of the fleet is
2424
mpg.
B.The P-value is the probability that the mean mileage of the fleet is greater than or equal to the proposed mean of
2424
mpg.
C.The P-value is the probability that the mean mileage of the fleet is
22.0522.05
mpg rather than the proposed mean of
2424
mpg.
D.The P-value is the probability of obtaining a sample mean of
22.0522.05
mpg or less if the mean mileage of the fleet is
2424
mpg.
e) State an appropriate conclusion.
Since the P-value is
▼
less
greater
than any reasonable level of significance, the data
▼
provide
fail to provide
sufficient evidence to reject the null hypothesis.
In: Statistics and Probability
Regression Analysis/Need R code/Step By Step Explanation/No Hand Written Regression:
A) Provide a 95% Confidence interval for each of the estimated parameters B ) Use Hypothesis Testing to test the significance of Regression and Residual Analysis C) Perform Lack of fit test Apply corresponding transformation to correct model inadequacies if any. D) Perform Multicollinearity and Validate your model Accordingly. We seek a model of the form # # B = A0 * X0 + A1 * X1 + A2 * X2 + A3 * X3 + A4 * X4
Dataset is in format that can be used and run in R Studio directly:
a0, 1; a1, the petrol tax; a2, the per capita income;a3, the number of miles of paved highway;a4, the proportion of drivers; b, the consumption of petrol.
b <- c(541, 524,561, 414,410,457,344, 467, 464, 498, 580,
471, 525, 508, 566,635,603,714,865,640,649
,540, 464, 547, 460, 566, 577, 631, 574, 534, 571, 554, 577, 628,
487, 644, 640, 704, 648, 968
, 587, 699, 632, 591, 782, 510,610, 524)
a4 <- c(0.525, 0.572, 0.580, 0.529, 0.544, 0.571, 0.451,
0.553, 0.529, 0.552, 0.530, 0.525,
0.574,0.545,0.608,0.586,0.572,0.540,0.724,0.677,0.663,0.602,0.511,0.517,0.551,0.544,
0.548,
0.579, 0.563, 0.493, 0.518, 0.513, 0.578, 0.547, 0.487, 0.629,
0.566, 0.586, 0.663, 0.672
,0.626,0.563,0.603,0.508,0.672,0.571,0.623, 0.593)
a3<- c(1976,1250, 1586, 2351, 431, 1333, 11868, 2138, 8577,
8507, 5939, 14186, 6930, 6580,8159,
10340, 8508, 4725, 5915, 6010,7834,602, 2449, 4686,2619, 4746,
5399,9061,5975, 4650, 6905,
6594,6524,4121,3495, 7834, 17782, 6385, 3274, 3905,4639, 3985,
3635, 2611, 2302, 3942, 4083
, 9794)
a2 <- c(3571, 4092, 3865, 4870, 4399, 5342, 5319, 5126, 4447,
4512, 4391, 5126, 4817, 4207, 4332, 4318,
4206, 3718, 4716, 4341, 4593, 4983, 4897, 4258, 4574, 3721, 3448,
3846, 4188, 3601, 3640, 3333,
3063,3357,3528,3802,4045, 3897, 3635, 4345, 4449, 3656, 4300, 3745,
5215, 4476, 4296 ,5002)
a1 <- c(9.00, 9.00, 9.00, 7.50, 8.00, 10.00, 8.00, 8.00,
8.00, 7.00, 8.00, 7.50, 7.00, 7.00, 7.00, 7.00,
7.00, 7.00, 7.00, 8.50, 7.00, 8.00, 9.00, 9.00, 8.50, 9.00, 8.00,
7.50, 8.00, 9.00, 7.00,
7.00, 8.00, 7.50, 8.00, 6.58, 5.00, 7.00, 8.50, 7.00, 7.00, 7.00,
7.00, 7.00, 6.00, 9.00, 7.00
, 7.00)
In: Statistics and Probability
Case study
Last month you were hired with the title Health Informatics Specialist at an independent community care hospital with 350 beds. The hospital includes a comprehensive outpatient clinic, a rehabilitation center with both inpatient and outpatient services, a cardiac care center, and an emergency room. In addition, four family health centers are located throughout the community. More than 930 primary care and specialty physicians are associated with the hospital, which has a staff of just over 2000 employees. The hospital has an EHR in place. The hospital has a working relationship with a major academic medical center located 23 miles away. Acute care patients who need more extensive treatment are usually transferred to the medical center. These are often emergency situations, and data are freely shared among the institutions with the best interests of the patient in mind. Located directly beside the hospital is a 194-bed skilled nursing home. While the nursing home has its own medical staff consisting of a physician and two nurse practitioners, patients needing consults or additional care are usually seen at the hospital with follow-up at physicians’ offices. While the nursing home, most of the physicians’ offices, and the hospital are independent institutions, there is a long history of sharing health-related data when treating patients who live at the nursing home and are seen at the hospital or in the physicians’ offices. This coordination is seen as a general benefit for a number of patients. It appears that most patients have signed a form giving the hospital permission to send information to the nursing home. However, these forms have been stored in individual offices, so it is difficult to determine who has signed what forms and what permission has or has not been given to share information among the nursing home, hospital, and independent medical practices.
Discussion Questions
1. What additional information is needed to clarify what problems may exist and what changes may be needed in terms of data that are shared among the institutions?
2. Can the EHR system and/or e-mail be used to share data among these different institutions more effectively and securely? If yes, how would this be done? For example, what agreements, policies, and procedures might need to be developed?
3. In your position as Health Informatics Specialist, how would you go about determining whether there are other potential security issues that now need to be managed by the hospital?
4. From your reading in chapter 25, name two federal agencies and describe their role in the regulatory oversight of Health IT.
5. What are three major issues with mHealth applications and wearable devices?
In: Nursing
Warner and Augustine Robins, both 33 years old, have been married for 9 years and have no dependents.
Warner is the president of Dragon Lady Corporation located in Macon. The Dragon Lady stock is owned 40 percent by Warner, 40 percent by Augustine, and 20 percent by Warner’s father.
Warner and Augustine received the following tax documents:
1) W-2 Form
2) Form 1099-INT
3) Form 1098
4) Letter from Macon Museum of Arts regarding their charitable
contribution.
These items are located on separate tabs.
The Robins paid the following amounts (all can be substantiated):
|
The tax basis for the donated painting is $25,000 and the painting has been owned by Warner and Augustine for 5 years.
Dragon Lady does not cover health insurance for its employees. In addition to Warner and Augustine's health insurance premiums shown above, Augustine required surgery which cost $6,720 for which only $3,100 was covered by insurance. Warner had to drive Augustine 300 miles each way to a surgical center.
On January 1, 2018, Warner sold land to Dragon Lady Corporation for $75,000. He acquired the land 5 years ago for $160,000. No Form 1099-B was filed for this transaction.
Dragon Lady Corporation does not have a qualified pension plan or Section 401(k) plan for its employees. Therefore, Warner deposited $11,000 ($5,500 each) into traditional IRA accounts for Augustine and himself (neither are covered by a qualified plan at work).
Required:
Complete Warner and Augustine's Form 1040 and Schedules 1, A, and D
and Form 8949. Do not complete Form 8283, which is used when large
noncash donations are made to charity.
including the calculation of the any alternative taxes
In: Finance