Questions
IDX Technologies is a privately held developer of advanced security systems based in Chicago. As part...

IDX Technologies is a privately held developer of advanced security systems based in Chicago. As part of your business development​ strategy, in late 2013 you initiate discussions with​ IDX's founder about the possibility of acquiring the business at the end of 2013. Estimate the value of IDX per share using a discounted FCF approach and the following​ data:

bullet ​Debt: $ 34 million

bullet Excess​ cash: $ 101 million

bullet Shares​ outstanding: 50 million

bullet Expected FCF in​ 2014: $ 43 million

bullet Expected FCF in​ 2015: $ 57 million

bullet Future FCF growth rate beyond​ 2015: 5 %

bullet ​Weighted-average cost of​ capital: 9.4 %

The enterprise value in 2013 is ​$ ( )million (Round to two decimal​ places.)

The equity value is $ ( )million (Round to two decimal​ places.)

The value of IDX per share is ​$ ( )  (Round to two decimal​ places.)

In: Finance

Is there any economic merit in understanding how the EU works and its legacy? Discuss Measure...

  1. Is there any economic merit in understanding how the EU works and its legacy? Discuss

  1. Measure how the EU has attained its goals and values since 60 + years of its inception.
  1. Bureaucracies, such as the EU always take time to reform. With an understanding of some of the key institutions, state and justify which branch you believe should be reformed urgently and propose options as to what best remedies should be put in place.
  1. What arguments would you put forward to an EU official to counterbalance an enthusiastic official from an independent emerging economic nation stating, “…We shall always be a small minority in the world, but, when a small nation accomplishes something with its limited means, what it achieves has an immense and exceptional value,…”(Quotation by Tomas Garrigue Masaryk 1850 – 1937, chief founder and first president of Czechoslovakia)?

In: Economics

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
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
Infant deaths/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


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 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

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
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
Infant deaths/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


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 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

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

MBA-AC721 Project Part 2 Create the 2018 budget for Buy-Right Bike Store (BRBS). Add a worksheet...

MBA-AC721 Project Part 2 Create the 2018 budget for Buy-Right Bike Store (BRBS). Add a worksheet to your Project Excel workbook for BRBC Budgeted Income Statement and create the 2018 budget using the following information.

Budgeted Sales of Bike C: Online 75,000 bikes; instore 5,000 bikes. Bike C is purchased from Built-Right Bike Company, a sister company in the Biltmore Bicycle Corporation (BMBC), for $52 and is sold for $104.

Inventory: Beginning inventory: $ 52,000

Purchases 4,108,000

Sales ?

Ending Inventory $ 52,000

Employees:

Managerial Staff: Manager: 1 FTE, $45,000 annual salary plus 20% benefits

Bookkeeper: 1 FTE, $40,000 annual salary plus 20% benefits

Purchasing & Receiving Supervisor: 1 FTE, $35,000 annual salary plus 20% benefits Other staff: Warehouse: 2.5 FTEs make $15 per hour plus 17% benefits Online sales staff: 2 FTEs, $15 per hour plus 17% benefits (no commission)

NOTE: 1 FTE = 2080 hours

Store Hours: Monday – Saturday 10:00 am – 6:00 pm

2 sales clerks work from 10-3 M-F

3 sales clerks work from 3-6 M-F

4 sales clerks work 10-6 on Saturdays

Sales clerks earn $15 per hour plus 17% benefits Instore sales staff share commission equal to 10% of instore sales.

Budgeted Utility cost: $13,200

Budgeted Marketing Cost: $175,000

Contributions & community service: 10% of instore revenue

Other costs (includes depreciation, insurance, etc): $1,300,000

Income tax 29% of Net Revenue

In: Accounting

After my MBA Full time completion since 2012 i have worked all across on various challenging...

After my MBA Full time completion since 2012 i have worked all across on various challenging roles of Sales and Marketing Assignments that too all across various parts and geographies of India but since 2017 i worked as an Area Marketing Manager and subsequently my interest and passion towards pursuing my career towards academics statred to grow as i love to speak and interact with people based on valid logic only and also to know about new things and gaining knowledge, currently i am 34 and my wife is also a government employee and now i want to be settle at one place and pursue my dream of completing Fellowship in Management with specialization in Marketing. Currently i am based at Mumbai and looking for a reputed B-School to pursue my FPM in Management full time in Mumbai or Pune. I want to know about good B School option in Mumbai or surroundings and also about my aspiration that whether my rich plethora of practical experiences will going to help me or not. I have also qualified UGC-NET 2019.

In: Economics