Questions
Country Algeria Argentina Australia Austria Belgium Brazil Burkina Faso Canada China Colombia Denmark Ecuador Ethiopia Finland...

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.

  1. Use the Simple Linear Regression feature in StatCrunch to construct the regression model and scatterplot to compare the obesity rate (x-variable) to the infant deaths per 1000 (y-variable). Insert the results in the space below. (TIP: You need to insert both the linear regression information and the scatterplot.)

<insert graphic from StatCrunch here>

  1. Report the correlation coefficient (r) and write the equation for the linear relationship as ____Locate the critical value for correlation coefficients with a sample size of thirty or higher. (If necessary, round your answers to the nearest hundredth.)
  1. Determine if there is a valid linear relationship between obesity rates and infant mortality rates. To receive full credit, your answer should make use of the correlation coefficient and the critical value. If there is a linear relationship, describe how the two variables are related.
  1. Would it be appropriate to conclude a cause-and-effect relationship between obesity rates and infant mortality rates? Explain why or why not.
  1. Identify at least one confounding or lurking variable and describe how it may be related to obesity rates and infant mortality rates. (Tip: You will need to think beyond the data set for this question.)

In: Statistics and Probability

a. How could you improve the readability of this table? b. The file GDPyears contains sample...

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...

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.

  1. Use the Simple Linear Regression feature in StatCrunch to construct the regression model and scatterplot to compare the obesity rate (x-variable) to the infant deaths per 1000 (y-variable). Insert the results in the space below. (TIP: You need to insert both the linear regression information and the scatterplot.)

<insert graphic from StatCrunch here>

  1. Report the correlation coefficient (r) and write the equation for the linear relationship as ____Locate the critical value for correlation coefficients with a sample size of thirty or higher. (If necessary, round your answers to the nearest hundredth.)

  1. Determine if there is a valid linear relationship between obesity rates and infant mortality rates. To receive full credit, your answer should make use of the correlation coefficient and the critical value. If there is a linear relationship, describe how the two variables are related.

  1. Would it be appropriate to conclude a cause-and-effect relationship between obesity rates and infant mortality rates? Explain why or why not.

  1. Identify at least one confounding or lurking variable and describe how it may be related to obesity rates and infant mortality rates. (Tip: You will need to think beyond the data set for this question.)

In: Statistics and Probability

Topic 1: Use of the Nursing Process to Provide Patient Care Plan nursing care for the...

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...

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...

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...

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...

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.

  1. (a) In any Pareto-optimal allocation of a two-good economy, each consumer has to consume a positive amount of both goods.

  2. (b) A monopolist never produces on the elastic segment of its average revenue curve.

  3. (c) If a firm’s production exhibits increasing returns to scale, then the firm’s marginal costs are decreasing and below its average costs.

  4. (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...

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...

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