Option 1 - ManufacturerSIC CodeNo. Emp.No. Prod. Wkrs.Value Added by Mfg.Cost of MaterialsEnd Yr. Inven.Indus. Grp.2014333702351878713363012021318315724427743157120320416924506272228732120410070216673704034071205220137207121203011551206896912640136743613120726184258191301946120814372352103352171991209171126205481961231351211211523442555755062212322871634222132215083141552214646242622554222152472471421992932227463430753571427322313126731061325322417138177072673225169147898610421208332265141314541406973227554440767125144632288476380689941014322961474276550412913231272212397163564232200178942389262314423329425011045111212727423438321916228368242351714599364197423634282063181345042371134711742383125144513215264239224179106031237627474241836857759661578524217214710404192853979524325720913274186323329524451431909217035552458268460672905805249947855188135160452512732331246412980353562527053544740118296253372922905101447625481614182375595662595439281826947186261151122013279725726211690188482059642577263554296551060415027265212163156682463439767267232182259182896354277271403136306928483894827212116179826940121682731365717857886337368274692596992823874827560443738407295724300827641283878381168882772112398910475778278655043882055504827955394055109823682818045165671129826449282115792502534596619292832131065981327187115339284126753180119932453592855128849798492178928612675288864693585779287372412277111302354928976451154713085274992916743260061328801071810295251834646182658102991482187444667010301655470797091106711302874424961751130561464528380510571130612295727571951411113087635985562157264118741131115121313186540412313321621633512314373119071682716123152253856212316647473951991231787328255751231976233177401232112917179432821332260516532352715051332364504850425488313324171335092282828133253125217613877001332645362696118360013327205152157391701019661332817139995652631332972537838543216521333122117429180456961219814332128106906169131543143333526420011184183414334151114105735694143351621231667031892637714336947958564696938143393223316427908001434133273999936414531534214010711750872031241534345324412352711211534443231527974315277204153451048169364909176815346259211198802153139971534712999779362321181153484024352816891077153493002192171819273646015351795510513129543679163529470954511858333916353205133181782347473441635429521122673143436730163551921101922116515682316356265172231101854378981635725996411356085710277163582011471752121819485716359392293253221389749641636174516700552314951736217112014278126573887173631088794661257822991736415711713428110653076173654937345976211070173662581203870529591946717367588368840594448613145173691511061392013398351417371772634105899223639158521837237719045220423673681418373141108790377602165183743123259043631233183751814143516744121837681299986812047701837947353564547611021838118668210718760618319382272141290281802876811938426815731051167877761193852717239010204261938661361403281142290193876441538217719391433027613646145120393.

1. Option 1 - ManufacturerSIC CodeNo. Emp.No. Prod.
Wkrs.Value Added by Mfg.Cost of MaterialsEnd Yr.
Inven.Indus.
Grp.2014333702351878713363012021318315724427743157120
32041692450627222873212041007021667370403407120522013
72071212030115512068969126401367436131207261842581913
01946120814372352103352171991209171126205481961231351
21121152344255575506221232287163422213221508314155221
46462426225542221524724714219929322274634307535714273
22313126731061325322417138177072673225169147898610421
20833226514131454140697322755444076712514463228847638
06899410143229614742765504129132312722123971635642322
00178942389262314423329425011045111212727423438321916
22836824235171459936419742363428206318134504237113471
17423831251445132152642392241791060312376274742418368
57759661578524217214710404192853979524325720913274186
32332952445143190921703555245826846067290580524994785
51881351604525127323312464129803535625270535447401182
96253372922905101447625481614182375595662595439281826
94718626115112201327972572621169018848205964257726355
42965510604150272652121631566824634397672672321822591
82896354277271403136306928483894827212116179826940121
68273136571785788633736827469259699282387482756044373
84072957243008276412838783811688827721123989104757782
78655043882055504827955394055109823682818045165671129
82644928211579250253459661929283213106598132718711533
92841267531801199324535928551288497984921789286126752
88864693585779287372412277111302354928976451154713085
27499291674326006132880107181029525183464618265810299
14821874446670103016554707970911067113028744249617511
30561464528380510571130612295727571951411113087635985
56215726411874113111512131318654041231332162163351231
43731190716827161231522538562123166474739519912317873
28255751231976233177401232112917179432821332260516532

2. 35271505133236450485042548831332417133509228282813325
31252176138770013326453626961183600133272051521573917
01019661332817139995652631332972537838543216521333122
11742918045696121981433212810690616913154314333352642
00111841834143341511141057356941433516212316670318926
37714336947958564696938143393223316427908001434133273
99993641453153421401071175087203124153434532441235271
12115344432315279743152772041534510481693649091768153
46259211198802153139971534712999779362321181153484024
35281689107715349300219217181927364601535179551051312
95436791635294709545118583339163532051331817823474734
41635429521122673143436730163551921101922116515682316
35626517223110185437898163572599641135608571027716358
20114717521218194857163593922932532213897496416361745
16700552314951736217112014278126573887173631088794661
25782299173641571171342811065307617365493734597621107
01736625812038705295919467173675883688405944486131451
73691511061392013398351417371772634105899223639158521
83723771904522042367368141837314110879037760216518374
31232590436312331837518141435167441218376812999868120
47701837947353564547611021838118668210718760618319382
27214129028180287681193842681573105116787776119385271
72390102042619386613614032811422901938764415382177193
91433027613646145120393131068550632820394103768327660
42608203953526264317897992039624191406997415203991791
23111998530286120
Option 2 - HospitalHospitalGeog.
RegionControlServiceCensusBirthsPersonnel1121107312792211
11981077176231213561027231041111003553285711916818164
21159381010777441657357428421481131912125317331594101
11212572331111127169241126313043020313631430325146212
33204967615641221134716611111679176318426485051862121
92450154319631112146575520631124095921631501993325226
21142227595423621111149410912461114013136712563128451
30026621154168975327621150158360728631144201792929631
42995354306217720454083152111916861251325212750338633

3. 52115126144342211792026204735221175141213433622146115
17172337132320963812174052939111414271936944012125310
74104241131180142110714211118476215254312124331941983
44121115496670451112151442165346132480167471311241107
79348121189298984149111181113316501119093511312803735
21212881732635311110810649435412115475960555721761317
59656731165175111655731229505685833110105075932169714
47960321129913661321185224314566232137839663486633211
14130888564332490243653211062514100166321460371433016
73214312633768341295561193693211251327116170321174153
22713111021618572331143392057331117312171224743212072
64117047532122379081576321825207127731164351567832113
91168176979321109793875803122980790813315203088231134
14708331216804948433221011185141390016188611147024487
12180776525881315045147289132113094901214514529791111
76128484792131129123493221603194019422141821543928952
21172951989622113849612319722164589545982216280666399
21113170182010022126539682581101342456012981023224001
26103311310365525341043317202511053321908510634111204
32107312375086410833215066109321783063556110311123169
34711132154662391123219682797311313182570439114112110
60184911511130010211631256026211734136342885118331127
49454911931218006111203415903301215211270147112251137
07512354113286262124521100235328125331473393771263111
94398575127321172127519161285315165699262012953112013
64571130511179714703131241140053513223278016013323268
02021342211867791330135221910370136211340220231231375
11254334627451385211081071815139521613525761402211742
54502141212306080814223228050143221395699728144221923
24624087145211335331130121461214606814711131642073090
14814241601358149111743395761501218613028415132138911
45152321147114323121533422320112415431213803361553213
85094151563212451026177915731217103381583315144745315
93412811614371603127970261161721569226091627116956264
71637114078611647411630207416572123121222232166212523
09481672413104091682224301531692216671074117022123111

4. 65162517114111466538172131144110678917313143376395174
34118509561753218263736217612249014417713124352229178
13163447396179121274122722561801319396373118114186303
81477182132280102183132250106184131181868939185531391
18939218651130228493516187521801728785188521632171607
18922131364273190222170063019111120329931379192121296
01108193131831964583194721846015141957112938721619672
11871946159319772177545105519851210403991995118583883
42005114751104
Option 3 - Consumer FoodAnnual Food Spending ($)Annual
Household Income ($)Non mortgage household debt
($)Region: 1 = NE 2 = MW 3 = S 4 = WLocation: 1
= Metro 2 = Outside
Metro890956697231801156843594570521110706526871614911
14112740412183911138556318218866111561979064218991126
94259818774119127574241576611135147204527685116314380
46854511762252408280571143224140569981138052968448061
16674492461359211734741491408811291126703158761180264
87531671411856755555167831110345714832140711869450980
19114118821464037817118678519271441511143318476917295
11961959062166871192865795214161118206583551953811164
08816941518711127576952214651111774096132011773957796
22057111538388276189611457932264797911116796592801112
87769924273301116232911089876119621540701990811817147
23817819111212877427313401186425980549631112400603346
63211918554114185931278624068015202129775582631486126
77152008217131230593964312179121321170309132211274084
64505602121158176140338741214233808331147812335231899
27621226302164726631290936592411355121265265923513212
95596281112613126112423353149121043165134151961212630
64621214331245783655355021295516291011376121026270727
13287129551576341185721101435654916136218955596621162
72110197573501843221112345644710871219320611360219089
51526490221123007997917270211148466733151452111215753
59156112172044079589752155793912865762111723754821250
82193536399802177614584566712142613822385762198306678

5. 71178211238677852936218673558251416721109445702290182
19910642631276821992875881174232142643434321323217971
41243210092182905302120151211266966991925021727249719
20838219784583991606521918750477940721586639112204092
19456518861166822627034797146229518623485201221096878
70417002228865536203200422922651577159222249133476117
70422697660968177992281525128181672228872501318763228
06259238108152288954734411814228444526452246922614835
30917139224563343551061222818550630211873133912905615
73531743648721183633195225045916478311129072805212383
11040356954222183146933934324696315626388331437131118
69550213557631130557760581731878357937185913113031633
43255313136813647917950315549403811425731410826309265
81316314414212247031770054579290653174794055131757319
09350369640431986354422243343180435183626213329552736
00363743292865187329631327987480031726132387536519135
79321074675152106593268884497423711325479489234594326
94943769212213210650759473335732518841423336413253114
01891779132469136772582932805659690195943211304536542
30663281125906724032869665962032586937254101573237763
35681414332118295693403213087888221756541109865963527
86341576238407188674111617786271189441989547710229304
11629364443316874181855887135424411397287954115494111
24354778125524146353982519494411006349536121954184266
01021378741743649139223564111747510524553411539770500
12025416842548941621741967860570410641128525762531228
41101145695625907418496614001093416689505321710641156
96727741779341984169981216074112529668911768941102106
74311999541886864782144894164263898717864411109664867
58394110086504218689412587270761753441124925178420284
42845654135220374268015329123342426339498043494342780
25220528579429717728412234942602646238201654256184593
81053842102177771618516428338597117980429048421061978
64240173646299354210906534031817742151487129066964288
30667592097242848157616287674211358762211373421055378
20259204269695516424795421321961171214824235433409325

6. 96942732650647107504284585989822940421176652884259704
2990873629711242
Option 4 - FinancialCompanyTypeTotal RevenuesTotal
AssetsReturn on EquityEarnings per ShareDividends per
ShareAverage P/E
RatioAFLAC672512945417.12.080.2211.5Albertson's41469052
1921.42.080.6319Allstate6201068091820.13.560.3610.6Amerad
a Hess7834079350.20.080.6698.3American
General63362806207.12.191.421.2American
Stores419139853612.21.010.3423.5Amoco7362873248916.72.7
61.416.1Arco
Chemical2399541166.21.142.840.4Ashland71431977779.53.81.
112.4Atlantic Richfield7192722532221.85.412.833.8Bausch &
Lomb51916277360.891.042.6Baxter
International56138870711.51.061.1347.2Bristol-Myers
Squibb5167011497744.43.141.5224.1Burlington
Coat1177777512.31.180.0212.9Central Maine
Power395422992.40.160.979.6Chevron7419503547318.64.952.2
815.2CIGNA61493510819913.74.881.111.4Cinergy3435388581
3.31.591.822.4Dayton
Hudson12775714191181.70.3316.2Dillard's1681755929.22.310.
1615.7Dominion Resources37678201937.92.152.5817.7Dow
Chemical2200182404023.67.73.2411.6DPL31356358513.91.20.
9114.3E. I. DuPont
DeNemours2466534294221.32.081.2327.9Eastman
Chemical24678577816.33.631.7616Edison
International392352510112.31.73113.6Engelhard2363125866.10
.330.3861.8Entergy39562270014.21.031.825.4Equitable696661
5143812.32.860.213.4Ethyl71064106753.60.710.512.6Exxon713
72429606419.43.371.6317.1FPL
Group363691244912.23.571.9214.4The
GAP16508333833.71.30.222Georgia
Gulf29666132282.390.3211.8GIANT
Food4423115227.91.180.7826.9A &
P41026229956.91.660.3517.8Great Lakes
Chemicals2131122705.51.190.6240.5Green Mountain Power

7. Company31793268.31.571.6114Hannaford
Bros.4322612279.91.40.5426.6Hercules218662411473.18114.5
Houston Industries368731841581.661.513.7Jefferson-
Pilot625782313114.53.471.0413.3Johnson &
Johnson5226292145326.72.410.8524.1Liberty6660318511.13.34
0.7712.7The Limited19189430110.60.790.4826.7Lincoln
National64899771750.40.211.96300.2Lubrizol216741462192.66
1.0114.5Lyondell
Petrochemical73010155946.23.580.96.4Mallinkrodt5186829881
4.82.470.6616May Department
Stores112685993020.53.111.216.2McKesson5208575608111.59
0.526Mercantile
Stores1314421787.93.531.1916.3Merck5236372581236.63.741.
6926.6Millennium
Chemicals23048432612.62.470.68.3Mobil7659064355916.84.01
2.1217.2Monsanto27514107747.20.480.590.7Morton223882805
12.31.480.3625.2Murphy Oil72138223812.32.941.3518Mylan
Laboratories555584813.50.820.1622.4NALCO
Chemical214341441252.1118.3Nevada
Power3799233910.11.651.614.2NIPSCO32587493714.11.530.91
4.4Olin22410194617.431.214.5Orion
Capital615913884164.150.69.8Owens &
Minor531177139.40.60.1821.7Pacific
Corporation36278138805.20.681.0834.2J. C.
Penney130546234937.72.12.1326.9Pennzoil72654440615.83.76
117.1Pfizer5125041533627.91.70.6835.4Pharmacia &
Upjohn56710103805.80.611.0856.2Phillips
Petroleum7154241386019.93.611.3412.4Poe &
Brown612919425.11.480.3516.3PPG27379686828.53.941.3314.
7PP&L
Resources33049948511.41.81.6712Progressive64190756018.75.
310.2417Rohm &
Haas23999390019.82.130.6313.4Ruddick4230088512.51.020.32
17Schering-Plough56778650751.21.950.7424.6Sears,
Roebuck1412963870020.32.990.9217.4Stryker598098520.51.28
0.1127.2Sun7105314667182.7113Sunamerica621143563714.71.

8. 80.319.5Texaco7466672960020.94.871.7511.5The TJX
Companies17389261026.31.750.098.2Torchmark622831096717.
52.390.5914.2Tosco713282597510.91.370.2423Travelers637609
38655514.92.540.417Ultramar Diamond
Shamrock71088255959.51.941.116.1Union
Carbide26502696428.84.530.7910.7United States Surgical
Corporation5117217267.51.210.1629UNOCAL76064753028.92.
650.815.5UNUM640771320015.22.590.5617USX-
Marathon7157541056512.61.580.7619.8Valero
Energy7575624939.62.030.4217.2Warner-
Lambert58180803130.71.040.5135.7WEIS
Markets418199729.21.870.9416.9Wellman2108313194.80.970.3
520.5Winn-Dixie
Stores413219292115.31.360.9827.2WITCO221872298141.551.1
224.9Zenith Nation Insurance660112527.81.57117
Title
ABC/123 Version X
1
Part 3 Inferential Statistics
2
Part 3: Inferential Statistics Option 1: Manufacturing Database
1. The National Association of Manufacturers (NAM) contracts
with your consulting company to determine the estimate of
mean number of production workers. Construct a 95%
confidence interval for the population mean number of
production workers. What is the point estimate? How much is
the margin of error in the estimate?
2. Suppose the average number of employees per industry group
in the manufacturing database is believed to be less than 150
(1000s). Test this belief as the alternative hypothesis by using

9. the 140 SIC Code industries given in the database as the
sample. Let α = .10. Assume that the number of employees per
industry group are normally distributed in the population.
3. You are also required to determine whether there is a
significant difference between mean Value Added by the
Manufacturer and the mean Cost of Materials in manufacturing
using alpha of 0.01.
4. You are requested to determine whether there is a
significantly greater variance among values of Cost of Materials
than of End-of-Year Inventories.
Option 2: Hospital Database
1. As a consultant, you need to use the Hospital database and
construct a 90% confidence interval to estimate the average
census for hospitals. Change the level of confidence to 99%.
What happened to the interval? Did the point estimate change?
2. Determine the sample proportion of the Hospital database
under the variable “service” that are “general medical”
(category 1). From this statistic, construct a 95% confidence
interval to estimate the population proportion of hospitals that
are “general medical.” What is the point estimate? How much
error is there in the interval?
3. Suppose you want to “prove” that the average hospital in the
United States averages more than 700 births per year. Use the
hospital database as your sample and test this hypothesis. Let
alpha be 0.01.
4. On average, do hospitals in the United States employ fewer
than 900 personnel? Use the hospital database as your sample
and an alpha of 0.10 to test this figure as the alternative
hypothesis. Assume that the number of births and number of
employees in the hospitals are normally distributed in the
population.

10. Option 3: Consumer Food
1. Suppose you want to test to determine if the average annual
food spending for a household in the Midwest region of the U.S.
is more than $8,000. Use the Midwest region data and a 1%
level of significance to test this hypothesis. Assume that annual
food spending is normally distributed in the population.
2. Test to determine if there is a significant difference between
households in a metro area and households outside metro areas
in annual food spending. Let α = 0.01.
3. The Consumer Food database contains data on Annual Food
Spending, Annual Household Income, and Non-Mortgage
Household Debt broken down by Region and Location. Using
Region as an independent variable with four classification
levels (four regions of the U.S.), perform three different one-
way ANOVA's—one for each of the three dependent variables
(Annual Food Spending, Annual Household Income, Non-
Mortgage Household Debt). Did you find any significant
differences by region?
Option 4: Financial Database
1. Use this database as a sample and estimate the earnings per
share for all corporations from these data. Select several levels
of confidence and compare the results.
2. Are the average earnings per share for companies in the stock
market less than $2.50? Use the sample of companies
represented by this database to test that hypothesis. Let α = .05.
3. Test to determine whether the average return on equity for all
companies is equal to 21. Use this database as the sample and α
= .10. Assume that the earnings per share and return on equity
are normally distributed in the population.

11. 4. Do various financial indicators differ significantly according
to type of company? Use a one-way ANOVA and the financial
database to answer this question. Let Type of Company be the
independent variable with seven levels (Apparel, Chemical,
Electric Power, Grocery, Healthcare Products, Insurance, and
Petroleum). Compute three one-way ANOVAs, one for each of
the following dependent variables: Earnings Per Share,
Dividends Per Share, and Average P/E Ratio.
Copyright © XXXX by University of Phoenix. All rights
reserved.
Title
ABC/123 Version X
1
Week 6 Options
2
Scenario: Upon successful completion of the MBA program,
imagine you work in the analytics department for a consulting
company. Your assignment is to analyze one of the following
databases:
· Manufacturing
· Hospital
· Consumer Food
· Financial
Select one of the databases based on the information in the

12. Signature Assignment Options.
Provide a 1,600-word detailed, four part, statistical report with
the following sections:
· Part 1 - Preliminary Analysis
· Part 2 - Examination of Descriptive Statistics
· Part 3 - Examination of Inferential Statistics
· Part 4 - Conclusion/Recommendations
Part 1 - Preliminary Analysis
Generally, as a statistics consultant, you will be given a
problem and data. At times, you may have to gather additional
data. For this assignment, assume all the data is already
gathered for you.
State the objective:
· What are the questions you are trying to address?
Describe the population in the study clearly and in sufficient
detail:
· What is the sample?
Discuss the types of data and variables:
· Are the data quantitative or qualitative?
· What are levels of measurement for the data?
Part 2 - Descriptive Statistics

13. Examine the given data.
Present the descriptive statistics (mean, median, mode, range,
standard deviation, variance, CV, and five-number summary).
Identify any outliers in the data.
Present any graphs or charts you think are appropriate for the
data.
Note: Ideally, we want to assess the conditions of normality too.
However, for the purpose of this exercise, assume data is drawn
from normal populations.
Part 3 - Inferential Statistics
Use the Part 3: Inferential Statistics document.
· Create (formulate) hypotheses
· Run formal hypothesis tests
· Make decisions. Your decisions should be stated in non-
technical terms.
Hint: A final conclusion saying "reject the null hypothesis" by
itself without explanation is basically worthless to those who
hired you. Similarly, stating the conclusion is false or rejected
is not sufficient.
Part 4 - Conclusion and Recommendations
Include the following:
· What are your conclusions?

14. · What do you infer from the statistical analysis?
· State the interpretations in non-technical terms. What
information might lead to a different conclusion?
· Are there any variables missing?
· What additional information would be valuable to help draw a
more certain conclusion?
Format your assignment consistent with APA format.
OPTIONS BELOW:Option 1: Manufacturing Database
This database contains six variables taken from 20 industries
and 140 subindustries in the United States. Some of the
industries are food products, textile mill products, furniture,
chemicals, rubber products, primary metals, industrial
machinery, and transportation equipment. The six variables are
Number of Employees, Number of Production Workers, Value
Added by Manufacture, Cost of Materials, End-of-Year
Inventories, and Industry Group. Two variables, Number of
Employees and Number of Production Workers, are in units of
1000. Three variables, Value Added by Manufacture, Cost of
Materials, and End-of-Year Inventories, are in million-dollar
units. The Industry Group variable consists of numbers from 1
to 20 to denote the industry group to which the particular
subindustry belongs. Option 2: Hospital Database
This database contains observations for six variables on U.S.
hospitals. These variables include Geographic Region, Control,
Service, Census, Number of Births, and Personnel.
The region variable is coded from 1 to 7, and the numbers
represent the following regions:
1 = South

15. 2 = Northeast
3 = Midwest
4 = Southwest
5 = Rocky Mountain
6 = California
7 = Northwest
Control is a type of ownership. Four categories of control are
included in the database:
1 = government, nonfederal
2 = nongovernment, not-for-profit
3 = for-profit
4 = federal government
Service is the type of hospital. The two types of hospitals used
in this database are:
1 = general medical
2 = psychiatric
Option 3: Consumer Food
The consumer food database contains five variables: Annual
Food Spending per Household, Annual Household Income, Non-
Mortgage Household Debt, Geographic Region of the U.S. of
the Household, and Household Location. There are 200 entries

16. for each variable in this database representing 200 different
households from various regions and locations in the United
States. Annual Food Spending per Household, Annual
Household Income, and Non-Mortgage Household Debt are all
given in dollars. The variable Region tells in which one of four
regions the household resides. In this variable, the Northeast is
coded as 1, the Midwest is coded 2, the South is coded as 3, and
the West is coded as 4. The variable Location is coded as 1 if
the household is in a metropolitan area and 2 if the household is
outside a metro area. The data in this database were randomly
derived and developed based on actual national norms.
Option 4: Financial Database
The financial database contains observations on seven variables
for 100 companies. The variables are Type of Industry, Total
Revenues ($ millions), Total Assets ($ millions), Return on
Equity (%), Earnings per Share ($), Dividends per Share ($),
and Average Price per Earnings (P/E) ratio. The companies
represent seven different types of industries. The variable Type
displays a company's industry type as:
1 = apparel
2 = chemical
3 = electric power
4 = grocery
5 = healthcare products
6 = insurance
7 = petroleum

17. Copyright © XXXX by University of Phoenix. All rights
reserved.