This question uses the following worksheets Q2 LOOKUP, Q2 ARRAY 1 Create range names, Revenues and Profit, for the Revenues column (Column F) and the Profits column (Column G) in the Q2 LOOKUP worksheet, respectively Use the range names to calculate Margin (Column H) The margin is calculated using the formula on the right 2 Assign a profitability level to each company based on the margin The conversion rule is listed in the following table For example, if a company has a negative margin, the profitability is rated as E If a company has a margin between 0 05 and 0 10, the profitability is rated as B (1) Convert the profitability rating criteria to a proper lookup table (including headers), place it in the LOOKUP worksheet K1 L6 Create a range name, Reference , for the lookup table (2) Use this table and a lookup function in the Profitability column (Column I) in the LOOKUP worksheet to get the profitability ratings for each company 3 The ARRAY worksheet contains a list of the industries of the Fortune 500 companies Use an array function to count the number of companies with A level profitability (having an A in the Profitability column in the LOOKUP worksheet) for each industry For example, only one company (Walt Disney) in the Media industry has A level profitability, thus, the formula should return 1 for the Media industry in the ARRAY worksheet CEO Company Industry 2008 Salary 2008 Bonus Revenues Profits Margin Profitability Lawrence Ellison Oracle Software Services 1 00 10 78 17,996 4,274 Ray Irani Occidental Petroleum Oil Gas Operations 1 30 3 63 20,206 5,400 John Hess Hess Oil Gas Operations 1 50 3 50 31,924 1,832 Mark Hurd Hewlett Packard Technology Hardware Equipment 1 45 8 93 104,286 7,264 John Hammergren McKesson Drugs Biotechnology 1 47 3 86 101,703 990 Bradbury Anderson Best Buy Retailing 1 17 1 99 40,023 1,407 David O'Reilly Chevron Oil Gas Operations 1 65 3 22 210,783 18,688 Frederick Smith FedEx Transportation 1 43 0 00 35,214 2,016 Robert Stevens Lockheed Martin Aerospace Defense 1 77 4 25 41,862 3,033 Brian Roberts Comcast Media 2 77 8 28 30,895 2,587 John Rowe Exelon Utilities 1 47 1 84 18,925 2,736 Ronald Williams Aetna Health Care Equipment Services 1 10 1 90 27,600 1,831 Chase Carey DirecTV Group Media 2 21 4 20 17,246 1,451 Thomas Ryan CVS Caremark Retailing 1 40 2 35 76,330 2,637 Miles White Abbott Laboratories Drugs Biotechnology 1 80 4 20 25,914 3,606 Ivan Seidenberg Verizon Communications Telecommunications Services 2 10 3 74 93,775 5,521 Lloyd Blankfein Goldman Sachs Group Diversified Financials 0 60 0 00 87,968 11,599 William Swanson Raytheon Aerospace Defense 1 23 3 05 22,426 2,578 Robert Iger Walt Disney Media 2 00 13 95 35,882 4,687 Richard Fairbank Capital One Financial Diversified Financials 0 00 0 00 18,966 1,570 Ronald Sargent Staples Retailing 1 11 0 62 19,373 996 Alan Boeckmann Fluor Construction 1 23 3 07 16,691 533 Bruce Smith Tesoro Oil Gas Operations 1 30 0 00 21,675 566 William Weldon Johnson Johnson Drugs Biotechnology 1 79 3 70 61,095 10,576 George Paz Express Scripts Health Care Equipment Services 0 94 2 45 18,378 568 Ronald Sugar Northrop Grumman Aerospace Defense 1 51 3 09 32,032 1,790 Kenneth Chenault American Express Diversified Financials 1 25 0 00 32,316 4,012 W McNerney Jr Boeing Aerospace Defense 1 92 1 48 66,387 4,074 David Farr Emerson Electric Conglomerates 1 20 3 00 22,572 2,136 Nicholas Chabraja General Dynamics Aerospace Defense 1 38 4 50 27,294 2,072 John Faraci International Paper Materials 1 26 1 58 22,284 1,168 James Skinner McDonald's Hotels, Restaurants Leisure 1 26 3 06 23,231 2,395 Jeffrey Bewkes Time Warner Media 1 75 7 60 46,615 4,387 Jeffrey Immelt General Electric Conglomerates 3 30 0 00 176,656 22,208 Jeffrey Noddle Supervalu Food Markets 1 13 1 30 44,048 593 David Wood Murphy Oil Oil Gas Operations 0 67 0 63 18,439 766 James Owens Caterpillar Capital Goods 1 51 2 24 44,958 3,541 Stephen Roell Johnson Controls Consumer Durables 1 33 0 00 34,678 1,252 C Henrikson MetLife Insurance 1 00 3 25 53,150 4,317 James Mulva ConocoPhillips Oil Gas Operations 1 50 1 42 178,558 11,891 Jeff Fettig Whirlpool Consumer Durables 1 26 0 42 19,451 640 H Hanway Cigna Health Care Equipment Services 1 14 6 65 17,623 1,115 Mayo Shattuck III Constellation Energy Utilities 1 20 5 50 21,193 822 Michael Szymanczyk Altria Group Food Drink Tobacco 1 20 2 80 38,051 9,786 William Klesse Valero Energy Oil Gas Operations 1 50 0 71 96,758 5,234 Indra Nooyi PepsiCo Food Drink Tobacco 1 30 2 60 39,474 5,658 Bernard Poussot Wyeth Drugs Biotechnology 1 45 2 75 22,400 4,616 Ramani Ayer Hartford Financial Services Insurance 1 15 0 00 25,916 2,949 Anne Mulcahy Xerox Business Services Supplies 1 32 0 99 17,228 1,135 Gerard Arpey AMR Transportation 0 66 0 00 22,935 504 Andrew Liveris Dow Chemical Chemicals 1 64 0 00 53,513 2,887 Glenn Tilton UAL Transportation 0 85 0 42 20,143 403 James Sinegal Costco Wholesale Retailing 0 35 0 08 64,400 1,083 Thomas Falk Kimberly Clark Household Personal Products 1 22 0 94 18,266 1,823 Clarence Cazalot Jr Marathon Oil Oil Gas Operations 1 38 1 70 60,044 3,956 John Strangfeld Jr Prudential Financial Insurance 0 97 3 30 34,401 3,704 James Cornelius Bristol Myers Squibb Drugs Biotechnology 1 49 4 48 19,977 2,165 Michael Duke Wal Mart Stores Retailing 0 98 4 46 378,799 12,731 R Yost AmerisourceBergen Drugs Biotechnology 1 18 2 72 66,074 469 Alan Lafley Procter Gamble Household Personal Products 1 70 4 00 76,476 10,340 Randall Stephenson AT T Telecommunications Services 1 42 0 00 118,928 11,951 Muhtar Kent Coca Cola Food Drink Tobacco 1 10 4 50 28,857 5,981 Louis Chenevert United Technologies Conglomerates 1 32 3 00 54,759 4,224 Paul Otellini Intel Semiconductors 1 00 3 87 38,334 6,976 Irene Rosenfeld Kraft Foods Food Drink Tobacco 1 45 4 07 37,241 2,590 George Buckley 3M Conglomerates 1 72 2 64 24,462 4,096 Daniel Hesse Sprint Nextel Telecommunications Services 1 20 2 65 40,146 (29,580) David Dillon Kroger Food Markets 1 17 2 32 70,235 1,180 Stephen Hemsley UnitedHealth Group Health Care Equipment Services 1 30 2 54 75,431 4,654 Jeffrey Kindler Pfizer Drugs Biotechnology 1 58 3 00 48,418 8,144 R Clark Cardinal Health Drugs Biotechnology 1 44 0 69 88,364 1,931 Mary Sammons Rite Aid Retailing 1 00 1 82 24,418 (1,079) Klaus Kleinfeld Alcoa Materials 1 40 1 88 30,748 2,564 Jeffrey Joerres Manpower Business Services Supplies 1 00 0 30 20,500 485 Angela Braly WellPoint Health Care Equipment Services 1 14 0 07 61,134 3,345 Alan Mulally Ford Motor Consumer Durables 2 00 0 00 172,468 (2,723) Gregory Spierkel Ingram Micro Technology Hardware Equipment 0 80 0 84 35,047 276 James Tisch Loews Insurance 1 10 2 50 17,920 2,489 Gregory Brown Motorola Technology Hardware Equipment 1 20 0 00 36,622 (49) Terry Lundgren Macy's Retailing 1 50 0 90 26,340 893 John Chambers Cisco Systems Technology Hardware Equipment 0 38 3 00 34,922 7,333 William DeLaney Sysco Food Markets 0 56 1 94 35,042 1,001 Robert Dutkowsky Tech Data Technology Hardware Equipment 0 92 1 59 23,423 108 Francis Blake Home Depot Retailing 1 01 0 00 84,740 4,395 Vikram Pandit Citigroup Banking 0 96 0 00 159,229 3,617 Thomas Wilson Allstate Insurance 1 04 0 15 36,769 4,636 Steven Burd Safeway Food Markets 1 47 0 40 42,286 888 Gregg Steinhafel Target Retailing 1 35 0 45 63,367 2,849 Michael McCallister Humana Health Care Equipment Services 1 02 0 00 25,290 834 Frederick Henderson General Motors Consumer Durables 1 72 0 00 182,347 (38,732) Lynn Elsenhans Sunoco Oil Gas Operations 1 24 0 79 42,101 891 Michael Dell Dell Technology Hardware Equipment 0 95 0 00 61,133 2,947 Gregory Wasson Walgreen Retailing 0 75 0 65 53,762 2,041 D Davis United Parcel Service Transportation 0 96 0 18 49,692 382 John Brock Coca Cola Enterprises Food Drink Tobacco 1 14 0 15 20,936 711 John Stumpf Wells Fargo Banking 0 88 0 00 53,593 8,057 Steven Ballmer Microsoft Software Services 0 64 0 70 51,122 14,065 Michael Jackson AutoNation Retailing 1 15 0 00 17,951 279 Rodney O'Neal Delphi Consumer Durables 1 20 0 00 26,160 (3,065) John Mack Morgan Stanley Diversified Financials 0 80 0 00 87,879 3,209 W Johnson Sears Holdings Retailing 0 90 0 00 50,703 826 Daniel Fulton Weyerhaeuser Materials 0 79 0 00 16,871 790 Richard Anderson Delta Air Lines Transportation 0 60 0 00 19,154 1,612 Leland Tollett Tyson Foods Food Drink Tobacco 0 13 0 00 26,900 268 Warren Buffett Berkshire Hathaway Diversified Financials 0 10 0 00 118,245 13,213 Herbert Allison Jr Fannie Mae Diversified Financials 0 00 0 00 43,355 (2,050) Steven Jobs Apple Technology Hardware Equipment 0 00 0 00 24,006 3,496 John Koskinen Freddie Mac Diversified Financials 0 00 0 00 43,104 (3,094) Search in Sheet Home Layout Tables Data Fill Arial abe wrap Test, General Normal 2 Normal 2 2 03 0 Conditional Insert Delete FormatThemes Aa A3 1 Question 2 2 This uses the worksheets Q2 LOOKUP, Q2 ARRAY 1 Create range names, Revenues and Profit, for the Revenues column (Column F) and the Profits column (Column G) in the Q2 LOOKUP worksheet, respectively Use the range names to calculate Margin (Column H) The margin is 6)Margin Revenue 4 calculated using the formula on the right 2 Assign a profitability level to each company based on the margin The conversion rule is listed in the following table Margin Profitability Level 10 0 05sMa gun 0 10 12 13 14 For example, it a company has a negative margin, the profitability is rated as E If a company has a margin between 0 05 and 0 10, the profitability is ratad as B (1) Convert the profitability rating criteria to a proper lookup table (indluding headers), plaoe it in the LOOKUP worksheet (2) Use this table and a lookup function in the Profitability column (Column I) in the LOOKUP worksheet to get the 16 K1 L6 Create a range name, Reference, for the lookup table 17 profitability ratings for each company 18 3 The ARRAY worksheet contains a list of the industries of the Fortune 500 companies Use an array function to count the number of companies with A level profitability (having an A in the Profitabiity column in the LOOKUP worksheet) for each industry For example, only one company (Wat Disney) in the Media industry has A level profitability, thus, the 19 formula should return 1 for the Media industry in the ARRAY worksheet 20 21 23 24 25 26 27 28 29 30 31 32 lio Q1 Coaiseek Q1 DataTable 22 Requirements Q2 LOOKUP Q2 ARRAY Q3 Requirements Q3 Normal View Sum 0 Search in Sheet Home Layout Tables Data Fill Arial abe wrap Test, General Normal 2 Normal 2 2 03 0 Conditional Insert Delete FormatThemes Aa A3 1 Question 2 2 This uses the worksheets Q2 LOOKUP, Q2 ARRAY 1 Create range names, Revenues and Profit, for the Revenues column (Column F) and the Profits column (Column G) in the Q2 LOOKUP worksheet, respectively Use the range names to calculate Margin (Column H) The margin is 6)Margin Revenue 4 calculated using the formula on the right 2 Assign a profitability level to each company based on the margin The conversion rule is listed in the following table Margin Profitability Level 10 0 05sMa gun 0 10 12 13 14 For example, it a company has a negative margin, the profitability is rated as E If a company has a margin between 0 05 and 0 10, the profitability is ratad as B (1) Convert the profitability rating criteria to a proper lookup table (indluding headers), plaoe it in the LOOKUP worksheet (2) Use this table and a lookup function in the Profitability column (Column I) in the LOOKUP worksheet to get the 16 K1 L6 Create a range name, Reference, for the lookup table 17 profitability ratings for each company 18 3 The ARRAY worksheet contains a list of the industries of the Fortune 500 companies Use an array function to count the number of companies with A level profitability (having an A in the Profitabiity column in the LOOKUP worksheet) for each industry For example, only one company (Wat Disney) in the Media industry has A level profitability, thus, the 19 formula should return 1 for the Media industry in the ARRAY worksheet 20 21 23 24 25 26 27 28 29 30 31 32 lio Q1 Coaiseek Q1 DataTable 22 Requirements Q2 LOOKUP Q2 ARRAY Q3 Requirements Q3 Normal View Sum 0

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Question: This question uses the following worksheets: Q2-LOOKUP, Q2-ARRAY 1. Create range names, Revenues and Profit, for the Revenues column (Column F) and the Profits column

This question uses the following worksheets: Q2-LOOKUP, Q2-ARRAY 1. Create range

names, Revenues and Profit, for the Revenues column (Column F) and the Profits column (Column G) in the "Q2-LOOKUP" worksheet, respectively. Use the range names to calculate Margin (Column H). The margin is calculated using the formula on the right: 2. Assign a profitability level to each company

This question uses the following worksheets: Q2-LOOKUP, Q2-ARRAY

1. Create range names, Revenues and Profit, for the Revenues column (Column F) and the Profits column (Column G) in the "Q2-LOOKUP" worksheet, respectively. Use the range names to calculate Margin (Column H). The margin is calculated using the formula on the right:

2. Assign a profitability level to each company based on the margin. The conversion rule is listed in the following table

For example, if a company has a negative margin, the profitability is rated as E. If a company has a margin between 0.05 and 0.10, the profitability is rated as B.

(1) Convert the profitability rating criteria to a proper lookup table (including headers), place it in the LOOKUP worksheet K1:L6. Create a range name, "Reference", for the lookup table.

(2) Use this table and a lookup function in the Profitability column (Column I) in the LOOKUP worksheet to get the profitability ratings for each company.

3. The ARRAY worksheet contains a list of the industries of the Fortune 500 companies. Use an array function to count the number of companies with A-level profitability (having an A in the Profitability column in the LOOKUP worksheet) for each industry. For example, only one company (Walt Disney) in the Media industry has A-level profitability, thus, the formula should return 1 for the Media industry in the ARRAY worksheet.

CEO	Company	Industry	2008 Salary	2008 Bonus	Revenues	Profits	Margin	Profitability
Lawrence Ellison	Oracle	Software & Services	1.00	10.78	17,996	4,274
Ray Irani	Occidental Petroleum	Oil & Gas Operations	1.30	3.63	20,206	5,400
John Hess	Hess	Oil & Gas Operations	1.50	3.50	31,924	1,832
Mark Hurd	Hewlett-Packard	Technology Hardware & Equipment	1.45	8.93	104,286	7,264
John Hammergren	McKesson	Drugs & Biotechnology	1.47	3.86	101,703	990
Bradbury Anderson	Best Buy	Retailing	1.17	1.99	40,023	1,407
David O'Reilly	Chevron	Oil & Gas Operations	1.65	3.22	210,783	18,688
Frederick Smith	FedEx	Transportation	1.43	0.00	35,214	2,016
Robert Stevens	Lockheed Martin	Aerospace & Defense	1.77	4.25	41,862	3,033
Brian Roberts	Comcast	Media	2.77	8.28	30,895	2,587
John Rowe	Exelon	Utilities	1.47	1.84	18,925	2,736
Ronald Williams	Aetna	Health Care Equipment & Services	1.10	1.90	27,600	1,831
Chase Carey	DirecTV Group	Media	2.21	4.20	17,246	1,451
Thomas Ryan	CVS Caremark	Retailing	1.40	2.35	76,330	2,637
Miles White	Abbott Laboratories	Drugs & Biotechnology	1.80	4.20	25,914	3,606
Ivan Seidenberg	Verizon Communications	Telecommunications Services	2.10	3.74	93,775	5,521
Lloyd Blankfein	Goldman Sachs Group	Diversified Financials	0.60	0.00	87,968	11,599
William Swanson	Raytheon	Aerospace & Defense	1.23	3.05	22,426	2,578
Robert Iger	Walt Disney	Media	2.00	13.95	35,882	4,687
Richard Fairbank	Capital One Financial	Diversified Financials	0.00	0.00	18,966	1,570
Ronald Sargent	Staples	Retailing	1.11	0.62	19,373	996
Alan Boeckmann	Fluor	Construction	1.23	3.07	16,691	533
Bruce Smith	Tesoro	Oil & Gas Operations	1.30	0.00	21,675	566
William Weldon	Johnson & Johnson	Drugs & Biotechnology	1.79	3.70	61,095	10,576
George Paz	Express Scripts	Health Care Equipment & Services	0.94	2.45	18,378	568
Ronald Sugar	Northrop Grumman	Aerospace & Defense	1.51	3.09	32,032	1,790
Kenneth Chenault	American Express	Diversified Financials	1.25	0.00	32,316	4,012
W McNerney Jr	Boeing	Aerospace & Defense	1.92	1.48	66,387	4,074
David Farr	Emerson Electric	Conglomerates	1.20	3.00	22,572	2,136
Nicholas Chabraja	General Dynamics	Aerospace & Defense	1.38	4.50	27,294	2,072
John Faraci	International Paper	Materials	1.26	1.58	22,284	1,168
James Skinner	McDonald's	Hotels, Restaurants & Leisure	1.26	3.06	23,231	2,395
Jeffrey Bewkes	Time Warner	Media	1.75	7.60	46,615	4,387
Jeffrey Immelt	General Electric	Conglomerates	3.30	0.00	176,656	22,208
Jeffrey Noddle	Supervalu	Food Markets	1.13	1.30	44,048	593
David Wood	Murphy Oil	Oil & Gas Operations	0.67	0.63	18,439	766
James Owens	Caterpillar	Capital Goods	1.51	2.24	44,958	3,541
Stephen Roell	Johnson Controls	Consumer Durables	1.33	0.00	34,678	1,252
C Henrikson	MetLife	Insurance	1.00	3.25	53,150	4,317
James Mulva	ConocoPhillips	Oil & Gas Operations	1.50	1.42	178,558	11,891
Jeff Fettig	Whirlpool	Consumer Durables	1.26	0.42	19,451	640
H Hanway	Cigna	Health Care Equipment & Services	1.14	6.65	17,623	1,115
Mayo Shattuck III	Constellation Energy	Utilities	1.20	5.50	21,193	822
Michael Szymanczyk	Altria Group	Food Drink & Tobacco	1.20	2.80	38,051	9,786
William Klesse	Valero Energy	Oil & Gas Operations	1.50	0.71	96,758	5,234
Indra Nooyi	PepsiCo	Food Drink & Tobacco	1.30	2.60	39,474	5,658
Bernard Poussot	Wyeth	Drugs & Biotechnology	1.45	2.75	22,400	4,616
Ramani Ayer	Hartford Financial Services	Insurance	1.15	0.00	25,916	2,949
Anne Mulcahy	Xerox	Business Services & Supplies	1.32	0.99	17,228	1,135
Gerard Arpey	AMR	Transportation	0.66	0.00	22,935	504
Andrew Liveris	Dow Chemical	Chemicals	1.64	0.00	53,513	2,887
Glenn Tilton	UAL	Transportation	0.85	0.42	20,143	403
James Sinegal	Costco Wholesale	Retailing	0.35	0.08	64,400	1,083
Thomas Falk	Kimberly-Clark	Household & Personal Products	1.22	0.94	18,266	1,823
Clarence Cazalot Jr	Marathon Oil	Oil & Gas Operations	1.38	1.70	60,044	3,956
John Strangfeld Jr	Prudential Financial	Insurance	0.97	3.30	34,401	3,704
James Cornelius	Bristol-Myers Squibb	Drugs & Biotechnology	1.49	4.48	19,977	2,165
Michael Duke	Wal-Mart Stores	Retailing	0.98	4.46	378,799	12,731
R Yost	AmerisourceBergen	Drugs & Biotechnology	1.18	2.72	66,074	469
Alan Lafley	Procter & Gamble	Household & Personal Products	1.70	4.00	76,476	10,340
Randall Stephenson	AT&T	Telecommunications Services	1.42	0.00	118,928	11,951
Muhtar Kent	Coca-Cola	Food Drink & Tobacco	1.10	4.50	28,857	5,981
Louis Chenevert	United Technologies	Conglomerates	1.32	3.00	54,759	4,224
Paul Otellini	Intel	Semiconductors	1.00	3.87	38,334	6,976
Irene Rosenfeld	Kraft Foods	Food Drink & Tobacco	1.45	4.07	37,241	2,590
George Buckley	3M	Conglomerates	1.72	2.64	24,462	4,096
Daniel Hesse	Sprint Nextel	Telecommunications Services	1.20	2.65	40,146	(29,580)
David Dillon	Kroger	Food Markets	1.17	2.32	70,235	1,180
Stephen Hemsley	UnitedHealth Group	Health Care Equipment & Services	1.30	2.54	75,431	4,654
Jeffrey Kindler	Pfizer	Drugs & Biotechnology	1.58	3.00	48,418	8,144
R Clark	Cardinal Health	Drugs & Biotechnology	1.44	0.69	88,364	1,931
Mary Sammons	Rite Aid	Retailing	1.00	1.82	24,418	(1,079)
Klaus Kleinfeld	Alcoa	Materials	1.40	1.88	30,748	2,564
Jeffrey Joerres	Manpower	Business Services & Supplies	1.00	0.30	20,500	485
Angela Braly	WellPoint	Health Care Equipment & Services	1.14	0.07	61,134	3,345
Alan Mulally	Ford Motor	Consumer Durables	2.00	0.00	172,468	(2,723)
Gregory Spierkel	Ingram Micro	Technology Hardware & Equipment	0.80	0.84	35,047	276
James Tisch	Loews	Insurance	1.10	2.50	17,920	2,489
Gregory Brown	Motorola	Technology Hardware & Equipment	1.20	0.00	36,622	(49)
Terry Lundgren	Macy's	Retailing	1.50	0.90	26,340	893
John Chambers	Cisco Systems	Technology Hardware & Equipment	0.38	3.00	34,922	7,333
William DeLaney	Sysco	Food Markets	0.56	1.94	35,042	1,001
Robert Dutkowsky	Tech Data	Technology Hardware & Equipment	0.92	1.59	23,423	108
Francis Blake	Home Depot	Retailing	1.01	0.00	84,740	4,395
Vikram Pandit	Citigroup	Banking	0.96	0.00	159,229	3,617
Thomas Wilson	Allstate	Insurance	1.04	0.15	36,769	4,636
Steven Burd	Safeway	Food Markets	1.47	0.40	42,286	888
Gregg Steinhafel	Target	Retailing	1.35	0.45	63,367	2,849
Michael McCallister	Humana	Health Care Equipment & Services	1.02	0.00	25,290	834
Frederick Henderson	General Motors	Consumer Durables	1.72	0.00	182,347	(38,732)
Lynn Elsenhans	Sunoco	Oil & Gas Operations	1.24	0.79	42,101	891
Michael Dell	Dell	Technology Hardware & Equipment	0.95	0.00	61,133	2,947
Gregory Wasson	Walgreen	Retailing	0.75	0.65	53,762	2,041
D Davis	United Parcel Service	Transportation	0.96	0.18	49,692	382
John Brock	Coca-Cola Enterprises	Food Drink & Tobacco	1.14	0.15	20,936	711
John Stumpf	Wells Fargo	Banking	0.88	0.00	53,593	8,057
Steven Ballmer	Microsoft	Software & Services	0.64	0.70	51,122	14,065
Michael Jackson	AutoNation	Retailing	1.15	0.00	17,951	279
Rodney O'Neal	Delphi	Consumer Durables	1.20	0.00	26,160	(3,065)
John Mack	Morgan Stanley	Diversified Financials	0.80	0.00	87,879	3,209
W Johnson	Sears Holdings	Retailing	0.90	0.00	50,703	826
Daniel Fulton	Weyerhaeuser	Materials	0.79	0.00	16,871	790
Richard Anderson	Delta Air Lines	Transportation	0.60	0.00	19,154	1,612
Leland Tollett	Tyson Foods	Food Drink & Tobacco	0.13	0.00	26,900	268
Warren Buffett	Berkshire Hathaway	Diversified Financials	0.10	0.00	118,245	13,213
Herbert Allison Jr	Fannie Mae	Diversified Financials	0.00	0.00	43,355	(2,050)
Steven Jobs	Apple	Technology Hardware & Equipment	0.00	0.00	24,006	3,496
John Koskinen	Freddie Mac	Diversified Financials	0.00	0.00	43,104	(3,094)

Search in Sheet Home Layout Tables Data Fill Arial abe wrap Test, General Normal 2 Normal 2 2 03 0 Conditional Insert Delete FormatThemes Aa A3 1 Question 2 2 This uses the worksheets: Q2-LOOKUP, Q2-ARRAY 1. Create range names, "Revenues and "Profit, for the Revenues column (Column F) and the Profits column (Column G) in the "Q2-LOOKUP" worksheet, respectively. Use the range names to calculate Margin (Column H). The margin is 6)Margin Revenue 4 calculated using the formula on the right: 2. Assign a profitability level to each company based on the margin. The conversion rule is listed in the following table Margin Profitability Level 10 0.05sMa gun 0.10 12 13 14 For example, it a company has a negative margin, the profitability is rated as E. If a company has a margin between 0.05 and 0.10, the profitability is ratad as B. (1) Convert the profitability rating criteria to a proper lookup table (indluding headers), plaoe it in the LOOKUP worksheet (2) Use this table and a lookup function in the Profitability column (Column I) in the LOOKUP worksheet to get the 16 K1:L6. Create a range name, "Reference, for the lookup table. 17 profitability ratings for each company. 18 3. The ARRAY worksheet contains a list of the industries of the Fortune 500 companies. Use an array function to count the number of companies with A-level profitability (having an A in the Profitabiity column in the LOOKUP worksheet) for each industry. For example, only one company (Wat Disney) in the Media industry has A-level profitability, thus, the 19 formula should return 1 for the Media industry in the ARRAY worksheet. 20 21 23 24 25 26 27 28 29 30 31 32 lio Q1-Coaiseek Q1-DataTable 22-Requirements Q2-LOOKUP.| Q2-ARRAY| Q3-Requirements Q3 | Normal View Sum-0 Search in Sheet Home Layout Tables Data Fill Arial abe wrap Test, General Normal 2 Normal 2 2 03 0 Conditional Insert Delete FormatThemes Aa A3 1 Question 2 2 This uses the worksheets: Q2-LOOKUP, Q2-ARRAY 1. Create range names, "Revenues and "Profit, for the Revenues column (Column F) and the Profits column (Column G) in the "Q2-LOOKUP" worksheet, respectively. Use the range names to calculate Margin (Column H). The margin is 6)Margin Revenue 4 calculated using the formula on the right: 2. Assign a profitability level to each company based on the margin. The conversion rule is listed in the following table Margin Profitability Level 10 0.05sMa gun 0.10 12 13 14 For example, it a company has a negative margin, the profitability is rated as E. If a company has a margin between 0.05 and 0.10, the profitability is ratad as B. (1) Convert the profitability rating criteria to a proper lookup table (indluding headers), plaoe it in the LOOKUP worksheet (2) Use this table and a lookup function in the Profitability column (Column I) in the LOOKUP worksheet to get the 16 K1:L6. Create a range name, "Reference, for the lookup table. 17 profitability ratings for each company. 18 3. The ARRAY worksheet contains a list of the industries of the Fortune 500 companies. Use an array function to count the number of companies with A-level profitability (having an A in the Profitabiity column in the LOOKUP worksheet) for each industry. For example, only one company (Wat Disney) in the Media industry has A-level profitability, thus, the 19 formula should return 1 for the Media industry in the ARRAY worksheet. 20 21 23 24 25 26 27 28 29 30 31 32 lio Q1-Coaiseek Q1-DataTable 22-Requirements Q2-LOOKUP.| Q2-ARRAY| Q3-Requirements Q3 | Normal View Sum-0

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