| Country Algeria Argentina Australia Austria Belgium Brazil Burkina Faso Canada China Colombia Denmark Ecuador Ethiopia Finland France Germany Ghana Greece Guatemala Iceland India Ireland Israel Italy Japan Kenya Lebanon Luxembourg Malta Mexico Myanmar Netherlands New Zealand Nicaragua Norway Peru Portugal Spain Sweden Switzerland Tunisia Turkey United Arab Emirates United Kingdom United States Venezuela, RB |
Infant Death/1000 21.9 11.1 3 2.9 3.3 14.6 60.9 4.3 9.2 13.6 2.9 18.4 41.4 1.9 3.5 3.1 42.8 3.6 24.3 1.6 37.9 3 3.2 2.9 2 36.6 7.3 1.6 5.2 11.9 40.7 4.8 3.3 19.4 2.2 13.6 3 3.6 2.4 3.5 12.1 11.6 5.9 3.5 5.6 12.9 |
Obesity % 23.6 26.5 29.9 20.1 22.1 20.1 5.2 30.1 7.3 20.7 21 18 3.3 22.8 25.7 22.7 10.9 25.1 16.4 23.9 4.7 27 25.8 23.7 3.5 5.9 30.8 24.8 28.7 27.6 2.9 21.9 30.6 15.5 24.8 20.4 22.1 26.5 22 21 27.1 29.4 34.5 29.8 35 24.3 |
Is there a linear relationship between the obesity rates and infant mortality for countries in the Global Health Summary data set? Investigate the relationship between obesity rates and infant mortality by using StatCrunch and complete the parts below.
<insert graphic from StatCrunch here>
In: Statistics and Probability
a. How could you improve the readability of this table?
b. The file GDPyears contains sample data from the United Nations Statistics Division on 30 countries and their GDP values from 2005 to 2010 in U.S. dollars ($). Create a table that provides all these data for a user. Format the table to make it as easy to read as possible. (Hint: It is generally not important for the user to know GDP to an exact dollar. It is more typical to present in millions or billions of dollars).
| Gross Domestic Product (in US Dollars, $) | ||||||
| Country | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 |
| Albania | 7385937423 | 8105580293 | 9650128750 | 11592303225 | 10781921975 | 10569204154 |
| Argentina | 169725491092 | 198012474920 | 241037555661 | 301259040110 | 285070994754 | 339604450702 |
| Australia | 704453444387 | 758320889024 | 916931817944 | 982991358955 | 934168969952 | 1178776680167 |
| Austria | 272865358404 | 290682488352 | 336840690493 | 375777347214 | 344514388622 | 341440991770 |
| Belgium | 335571307765 | 355372712266 | 408482592257 | 451663134614 | 421433351959 | 416534140346 |
| Brazil | 756761641553 | 935524319719 | 1175033105497 | 1407000163598 | 1370758418238 | 1782398471516 |
| Canada | 1056764109603 | 1193932279193 | 1332065087100 | 1404821988284 | 1245175828773 | 1469916064839 |
| Costa Rica | 18893517773 | 21230215608 | 24655866790 | 28030042814 | 28009123104 | 33905025636 |
| Czech Republic | 111667298575 | 128682670286 | 156601123503 | 194554700771 | 170904474637 | 172587854908 |
| Finland | 169949758742 | 180215332088 | 214820618980 | 236575337186 | 206669962260 | 207860471865 |
| France | 1914994403820 | 2015024513652 | 2312816861987 | 2541588228527 | 2367945716006 | 2301837109724 |
| Germany | 2516900462618 | 2632759372298 | 2984694872628 | 3258945971441 | 2973716393852 | 2966114791044 |
| Greece | 217161244590 | 234256472873 | 273778583771 | 307118451216 | 292570455971 | 269121592648 |
| Ireland | 177716687783 | 195313957743 | 229646992299 | 233265541112 | 199473873017 | 186171836063 |
| Israel | 122406785388 | 133194082920 | 153413480830 | 185728651622 | 178703093654 | 199765687403 |
| Italy | 1597329082733 | 1661915043524 | 1892698351200 | 2063917610274 | 1899970629238 | 1836900137057 |
| Mexico | 823342099045 | 928538728612 | 1011883508388 | 1085597798926 | 858289266602 | 1010289508403 |
| Netherlands | 567305874745 | 600912636726 | 694804194967 | 775360492025 | 707958187114 | 700804632367 |
| New Zealand | 108881144881 | 105105148952 | 128957665803 | 125687055678 | 112947748003 | 136162628586 |
| Peru | 72314760266 | 84376682203 | 98467906190 | 117848795625 | 120420055288 | 144337582246 |
| Poland | 267758758351 | 300074601414 | 371914955111 | 463413868126 | 382575897996 | 413367492455 |
| Portugal | 165251339352 | 172902905279 | 200110952422 | 218714808886 | 206009262965 | 200497996313 |
| Saudi Arabia | 317350027799 | 358379172230 | 386671647765 | 477341066667 | 374370666667 | 436158666667 |
| Singapore | 119723503550 | 139119367290 | 167031664530 | 179324986615 | 173771016315 | 209693107853 |
| South Africa | 220316820671 | 232194873182 | 254359710249 | 247453302921 | 256866025215 | 328761784955 |
| Spain | 1012008157986 | 1099963724520 | 1293150159963 | 1458983295560 | 1360989146711 | 1287874314552 |
| Switzerland | 350576683292 | 368164325764 | 409158397175 | 474711164468 | 464915154033 | 498158945877 |
| Turkey | 425514779241 | 467931441541 | 578990442724 | 656604657571 | 557723948435 | 655837737113 |
| United Kingdom | 2030278879633 | 2177981673883 | 2504551745297 | 2381881228845 | 1959165383433 | 2005634155207 |
| United States | 12579700000000 | 13336300000000 | 14010900000000 | 14369500000000 | 14113315344659 | 14601646157279 |
In: Statistics and Probability
| Country Algeria Argentina Australia Austria Belgium Brazil Burkina Faso Canada China Colombia Denmark Ecuador Ethiopia Finland France Germany Ghana Greece Guatemala Iceland India Ireland Israel Italy Japan Kenya Lebanon Luxembourg Malta Mexico Myanmar Netherlands New Zealand Nicaragua Norway Peru Portugal Spain Sweden Switzerland Tunisia Turkey United Arab Emirates United Kingdom United States Venezuela, RB |
Infant Death/1000 21.9 11.1 3 2.9 3.3 14.6 60.9 4.3 9.2 13.6 2.9 18.4 41.4 1.9 3.5 3.1 42.8 3.6 24.3 1.6 37.9 3 3.2 2.9 2 36.6 7.3 1.6 5.2 11.9 40.7 4.8 3.3 19.4 2.2 13.6 3 3.6 2.4 3.5 12.1 11.6 5.9 3.5 5.6 12.9 |
Obesity % 23.6 26.5 29.9 20.1 22.1 20.1 5.2 30.1 7.3 20.7 21 18 3.3 22.8 25.7 22.7 10.9 25.1 16.4 23.9 4.7 27 25.8 23.7 3.5 5.9 30.8 24.8 28.7 27.6 2.9 21.9 30.6 15.5 24.8 20.4 22.1 26.5 22 21 27.1 29.4 34.5 29.8 35 24.3 |
Is there a linear relationship between the obesity rates and infant mortality for countries in the Global Health Summary data set? Investigate the relationship between obesity rates and infant mortality by using StatCrunch and complete the parts below.
<insert graphic from StatCrunch here>
In: Statistics and Probability
Topic 1: Use of the Nursing Process to Provide Patient Care
Plan nursing care for the following patient:
Carla Hernandez is a 15-year-old adolescent whose parents immigrated to the United States from Mexico when she was 3. She was admitted to the medical /surgical unit with a diagnosis of peptic ulcer disease. She has a two day history of vomiting blood and dark, tarry stools. She rates her pain as an 8 out of 10 on a 0-10 scale and states the pain is worse at night. During her admission assessment she states, “I’m dying. My stomach is killing me, and my throat is on fire.” Past medical history includes: gastroesophageal reflux disease (GERD), bulimia nervosa, purging type, pernicious anemia, and asthma. She states she has not had an “asthma attack” for 6 years, although she occasionally wheezes when her GERD flares up. Home medications include omeprazole (Prilosec) 20 mg PO once per day, cyanocobalamin (Vitamin B12) 2000 mcg PO daily, levonogestrel/ ethinyl estradiol (Allesse) PO one tablet daily for birth control, and fluoxetine (Prozac) 40 mg PO daily.
Admitting vital signs are as follows: temperature 98.4 F, oral, pulse 112, respirations 22, and blood pressure 94/57.
Admitting orders are as follows:
Admit to medical unit
Full Code
Allergies: eggs, peanuts, codeine
Activity as tolerated
Vital signs and pulse oximetry Q4H
If SpO2 <90%, then begin 2L O2 per nasal cannula and call MD
Daily weights
Monitor intake and output
Bland diet
Patient is to remain upright for 3 hours after eating
Push oral fluids as tolerated
0.9% normal saline at 100 mL/ hr
Omeprazole (Prilosec) 20 mg PO BID
Famotidine (Pepcid) 20 mg IV BID
Hydrocodone/ acetaminophen (Vicodin) 5mg/ 325mg 1-2 tablets PO Q4-6H prn pain
Fluoxetine (Prozac) 40 mg PO daily
Cyanocobalamin (Vitamin B12) 2000 mcg PO daily
Levonogestrel/ ethinyl estradiol (Allesse) PO one tablet daily for birth control
Urinalysis, Urine hCG
CBC with differential, BMP now and in AM
Surgery consult re: bleeding ulcer
Psychiatric consult
Dietary consult
What priority assessments should the nurse perform? What are the
anticipated findings?
What are the top three priority nursing diagnoses for this patient
and family?
For the diagnoses you identified, create a list describing
subjective and objective assessment data associated with the
diagnosis, a plan of care, and the methods that will be used to
evaluate care given.
In: Nursing
4. The following is excerpted form an article about a U.S. Treasury auction of one-month bills that resulted in a zero-percent yield.
When was the last time you invested in something that you knew wouldn’t make money? In the market equivalent of shoveling cash under the mattress, hordes of buyers were so eager on Tuesday to park money in the world’s safest investment, United States government debt, they agreed to accept a zero-percent rate of return. The news sent a sobering signal: in these troubled economic times, when people have lost vast amounts on stocks, bonds and real estate, making an investment that offers security but no gain is tantamount to coming out ahead.
Investors accepted the zero-percent rate in the government’s auction Tuesday of $30 billion worth of short-term securities that mature in four weeks. Demand was so great even for no return that the government could have sold four times as much. In addition, for a brief moment, investors were willing to take a small loss for holding another ultra-safe security, the already-issued three-month Treasury bill.
In these times, it seems, the abnormal has now become acceptable. As America’s debt and deficit spiral from a parade of billion dollar bailouts and stimulus packages, fund managers, foreign governments and big retail investors reckon they will get more peace of mind by stashing their cash, rather than putting it toward any of the higher-yielding risk that is entailed in stocks, corporate bonds and consumer debt.
“The last time this happened was the Great Depression, when people are willing to accept no return on their money, or possibly even a negative return,” said Edward Yardeni, an independent analyst. “If people are so busy during the day just protecting the cash they have, it’s not a good sign.”
There are several explanations for the flight to safety in the bond market. The world of short-term money market funds, for instance, is still reeling from troubles at the Reserve Primary Fund, a money market fund frozen in September after it lost money on investments in Lehman Brothers. Since then, individual and large investors have put more than $200 billion into money funds that only invest in safe Treasury bills. At the same time, investors have withdrawn nearly $400 billion from prime funds. Many investors are also pulling money out of mutual funds and hedge funds, forcing portfolio managers to sell more risky assets and hold Treasuries, which are easier to sell. [“Investors Buy U.S. Debt at Zero Percent,” Vikas Bajaj and Michael Grynbaum; NYT, 12-10-2008]
(a) Why is a zero yield on treasury bills equivalent to putting currency under the mattress? How could the existence of money market funds committed to invest in only treasury bills explain why the short-term yields could be negative?
(b) How could you determine if investors are expecting deflation over the next several months? What are the implications for risk premiums on bank time deposits? Carefully explain.
In: Finance
Garner Strategy Institute (GSI) presents executive-level training seminars nationally. Eastern University (EU) has approached GSI to present 40 one-week seminars during 2019. This activity level represents the maximum number of seminars that GSI is capable of presenting annually. GSI staff would present the week-long seminars in various cities throughout the United States and Canada. Terry Garner, GSI’s president, is evaluating three financial options for the revenues from Eastern: accept a flat fee for each seminar, receive a percentage of Eastern’s profit before tax from the seminars, and form a joint venture to share costs and profits. Estimated costs for the 2019 seminar schedule follow: Garner Strategy Institute Eastern University Fixed costs for the year: Salaries and benefits $ 200,000 N/A * Facilities 46,000 N/A * Travel and hotel 0 $ 360,920 Other 72,000 N/A * Total fixed costs $ 318,000 $ 360,920 Variable cost per participant: Supplies and materials 0 $ 47 Marketing 0 18 Other site costs 0 35 *Eastern’s fixed costs are excluded because the amounts are not considered relevant for this decision (i.e., they will be incurred whether or not the seminars are presented). Eastern does not include these costs when calculating the profit before tax for the seminars. EU plans to charge $1,200 per participant for each 1-week seminar. It will pay all variable marketing, site costs, and materials costs. Required 1. Assume that the seminars are handled as a joint venture by GSI and EU to pool costs and revenues. a. Determine the total number of seminar participants needed to break even on the total costs for this joint venture. b. Assume that the joint venture has an effective income tax rate of 30%. How many seminar participants must the joint venture enroll to earn an after-tax income of $97,209? 2. Assume that GSI and EU do not form a joint venture, but that GSI is an independent contractor for EU. EU offers two payment options to GSI: a flat fee of $9,500 for each seminar or a fee of 40% of EU’s profit before taxes from the seminars. Compute the minimum number of participants needed for GSI to prefer the 40% fee option over the flat fee. 1 Total Number of seminar participants needed to break even (per year). 2. Assume that the joint venture has an effective income tax rate of 30%. How many seminar participants must the joint venture enroll to earn an after-tax income of $97,209? what is required number of participants? (per year) 3. Assume that GSI and EU do not form a joint venture, but that GSI is an independent contractor for EU. EU offers two payment options to GSI: a flat fee of $9,500 for each seminar or a fee of 40% of EU’s profit before taxes from the seminars. Compute the minimum number of participants needed for GSI to prefer the 40% fee option over the flat fee. what is minimum number of seminar participants?
In: Accounting
PLEASE EXPLAIN WHY YOU CHOOSE EACH ANSWER
1). How many distinct ways can a President, Vice President, Secretary and Treasurer be selected from a group of 10 people if no one can hold more than on position?
A). P(10,4)
B). 10 choose 4
C). 10^4
D). 4^10
E). 13 choose 10
F). None of these
2). How many shortest lattice paths are there from (0,0) to (10,4)
A). P(10,4)
B). 10 choose 4
C). 10^4
D). 4^10
E). 13 choose 10
F). None of these
3). At a movie theater with 4 different movies, how many ways can 10 people select a show? They do not have to all go to the same shoe but several poeple can go to the same show.
A). P(10,4)
B). 10 choose 4
C). 10^4
D). 4^10
E). 13 choose 10
F). None of these
In: Advanced Math
Analyze if the statements that are presented below are True or False. You MUST justify your answer to get credit. Answers without justification (even if they are correct) will be given zero marks.
(a) In any Pareto-optimal allocation of a two-good economy, each consumer has to consume a positive amount of both goods.
(b) A monopolist never produces on the elastic segment of its average revenue curve.
(c) If a firm’s production exhibits increasing returns to scale, then the firm’s marginal costs are decreasing and below its average costs.
(d) Maroon Theater practices third-degree price discrimination and sells tickets to three groups of customers: students, regular customers and senior citizens. The inverse demand of the three groups is linear. Furthermore, the students’ and senior citizens’ elasticities of demand for tickets are −4 and −3, respectively. Because the price charged to regular customers is greater than the price charged to senior citizens, we know with certainty that the ticket price for students will be lower than the ticket price for regular customers.
In: Economics
A statistical program is recommended. You may need to use the appropriate appendix table or technology to answer this question.
The owner of a theater would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow.
| Weekly Gross Revenue ($1,000s) |
Television Advertising ($1,000s) |
Newspaper Advertising ($1,000s) |
|---|---|---|
| 96 | 5.0 | 1.5 |
| 90 | 2.0 | 2.0 |
| 95 | 4.0 | 1.5 |
| 92 | 2.5 | 2.5 |
| 95 | 3.0 | 3.3 |
| 94 | 3.5 | 2.3 |
| 94 | 2.5 | 4.2 |
| 94 | 3.0 | 2.5 |
(a)
Find an estimated regression equation relating weekly gross revenue (in thousands of dollars) to television and newspaper advertising (in thousands of dollars). (Let x1 represent television advertising, x2 represent newspaper advertising, and y represent weekly gross revenue. Round your numerical values to two decimal places.)
ŷ =
Plot the standardized residuals against ŷ.
does the residual plot support the assumptions about ε? Explain
In: Statistics and Probability
Suppose that the sitting back-to-knee length for a group of adults has a normal distribution with a mean of μ=24.0 in. and a standard deviation of σ=1.1 in. These data are often used in the design of different seats, including aircraft seats, train seats, theater seats, and classroom seats. Instead of using 0.05 for identifying significant values, use the criteria that a value x is significantly high if P(x or greater) ≤0.01 and a value is significantly low if P(x or less) ≤0.01. Find the back-to-knee lengths separating significant values from those that are not significant. Using these criteria, is a back-to-knee length of 26.3 in. significantly high?
***Find the back-to-knee lengths separating significant values from those that are not significant.
Back-to-knee lengths greater than ____ in. and less than _____ nothing in. are not significant, and values outside that range are considered significant.
(Round to one decimal place as needed.)
***A back-to-knee length of 25.3 in. ______ [is or is not] significantly high because it is _______ [Inside or outside] the range of values that are not considered significant.
In: Statistics and Probability