For the case only complete the following sections from the template. Question 4: introduction Question 5: Analysis and findings for the market share for each product and region based on the PLE and industry sales data in the excel file completed in the following format: · Statement · Identify Business Problem - “Define Problem statement [aka Case Analysis Assignment]” · Analytics Tools and Models used and results · Interpretation, Discussion, and Analysis of Findings and Results – Interpretation, Discussion, and Analysis of outcomes and results of Analytics Tools and Models used · Tip: Support your Interpretation, Discussion, and Analysis of Results with the numbers you developed in your: · Analytics Tools and Models used results · Business Analytics Case Analysis EXCEL model(s) and outcomes and results · Recommendations 6. Overall Case Analysis Findings Discussion Two bullet points 7. Overall Case Analysis Recommendations Two bullet points 8. Overall Case Analysis Conclusion(s) Two bullet points STANLEY MILGRAM’S EXPERIMENT Conformity is one effect of the influence of others on our thoughts, feelings, and behaviors. Another form of social influence is obedience to authority.  Obedience is the change of an individual’s behavior to comply with a demand by an authority figure. People often comply with the request because they are concerned about a consequence if they do not comply. To demonstrate this phenomenon, we review another classic social psychology experiment. Stanley Milgram was a social psychology professor at Yale who was influenced by the trial of Adolf Eichmann, a Nazi war criminal. Eichmann’s defense for the atrocities he committed was that he was “just following orders.” Milgram (1963) wanted to test the validity of this defense, so he designed an experiment and initially recruited 40 men for his experiment. The volunteer participants were led to believe that they were participating in a study to improve learning and memory. The participants were told that they were to teach other students (learners) correct answers to a series of test items. The participants were shown how to use a device that they were told delivered electric shocks of different intensities to the learners. The participants were told to shock the learners if they gave a wrong answer to a test item—that the shock would help them to learn. The participants gave (or believed they gave) the learners shocks, which increased in 15-volt increments, all the way up to 450 volts. The participants did not know that the learners were confederates and that the confederates did not actually receive shocks. In response to a string of incorrect answers from the learners, the participants obediently and repeatedly shocked them. The confederate learners cried out for help, begged the participant teachers to stop, and even complained of heart trouble. Yet, when the researcher told the participant-teachers to continue the shock, 65% of the participants continued ...

1. For the case only complete the following sections from the
template.
Question 4: introduction
Question 5: Analysis and findings for the market share for each
product and region based on the PLE and industry sales data in
the excel file completed in the following format:
· Statement
· Identify Business Problem -
“Define Problem statement [aka Case Analysis Assignment]”
· Analytics Tools and Models used and results
· Interpretation, Discussion, and Analysis of Findings and
Results –
Interpretation, Discussion, and Analysis of outcomes and results
of Analytics Tools and Models used
· Tip: Support your Interpretation, Discussion, and Analysis of
Results with the numbers you developed in your:
· Analytics Tools and Models used results
· Business Analytics Case Analysis EXCEL model(s) and
outcomes and results
· Recommendations
6. Overall Case Analysis Findings Discussion
Two bullet points
7. Overall Case Analysis Recommendations
Two bullet points

2. 8. Overall Case Analysis Conclusion(s)
Two bullet points
STANLEY MILGRAM’S EXPERIMENT
Conformity is one effect of the influence of others on our
thoughts, feelings, and behaviors. Another form of social
influence is obedience to authority. Obedience is the change of
an individual’s behavior to comply with a demand by an
authority figure. People often comply with the request because
they are concerned about a consequence if they do not comply.
To demonstrate this phenomenon, we review another classic
social psychology experiment.
Stanley Milgram was a social psychology professor at Yale who
was influenced by the trial of Adolf Eichmann, a Nazi war
criminal. Eichmann’s defense for the atrocities he committed
was that he was “just following orders.” Milgram (1963) wanted
to test the validity of this defense, so he designed an experiment
and initially recruited 40 men for his experiment. The volunteer
participants were led to believe that they were participating in a
study to improve learning and memory. The participants were
told that they were to teach other students (learners) correct
answers to a series of test items. The participants were shown
how to use a device that they were told delivered electric shocks
of different intensities to the learners. The participants were
told to shock the learners if they gave a wrong answer to a test
item—that the shock would help them to learn. The participants
gave (or believed they gave) the learners shocks, which
increased in 15-volt increments, all the way up to 450 volts. The
participants did not know that the learners were confederates
and that the confederates did not actually receive shocks.
In response to a string of incorrect answers from the learners,
the participants obediently and repeatedly shocked them. The

3. confederate learners cried out for help, begged the participant
teachers to stop, and even complained of heart trouble. Yet,
when the researcher told the participant-teachers to continue the
shock, 65% of the participants continued the shock to the
maximum voltage and to the point that the learner became
unresponsive ( Figure). What makes someone obey authority to
the point of potentially causing serious harm to another person?
Several variations of the original Milgram experiment were
conducted to test the boundaries of obedience. When certain
features of the situation were changed, participants were less
likely to continue to deliver shocks (Milgram, 1965). For
example, when the setting of the experiment was moved to an
office building, the percentage of participants who delivered the
highest shock dropped to 48%. When the learner was in the
same room as the teacher, the highest shock rate dropped to
40%. When the teachers’ and learners’ hands were touching, the
highest shock rate dropped to 30%. When the researcher gave
the orders by phone, the rate dropped to 23%. These variations
show that when the humanity of the person being shocked was
increased, obedience decreased. Similarly, when the authority
of the experimenter decreased, so did obedience.
This case is still very applicable today. What does a person do
if an authority figure orders something done? What if the person
believes it is incorrect, or worse, unethical? In a study by
Martin and Bull (2008), midwives privately filled out a
questionnaire regarding best practices and expectations in
delivering a baby. Then, a more senior midwife and supervisor
asked the junior midwives to do somethi ng they had previously
stated they were opposed to. Most of the junior midwives were
obedient to authority, going against their own beliefs.
Case Analysis Background

4. 33 The case scenario was based on Gateway Estate Lawn
Equipment Co. Case Study, used for the 1997 Malcolm Baldrige
National Quality Award Examiner Training course. This
material is in the public domain. The database, however, was
developed by the author.
PLE, headquartered in St. Louis, Missouri, is a privately
owned designer and producer of traditional lawn mowers used
by homeowners. In the past 10 years, PLE has added another
key product, a medium-size diesel power lawn tractor with front
and rear power takeoffs, Class I three-point hitches, four-wheel
drive, power steering, and full hydraulics. This equipment is
built primarily for a niche market consisting of large estates,
including golf and country clubs, resorts, private estates, city
parks, large commercial complexes, lawn care service providers,
private homeowners with five or more acres, and government
(federal, state, and local) parks, building complexes, and
military bases. PLE provides most of the products to
dealerships, which, in turn, sell directly to end users. PLE
employs 1,660 people worldwide. About half the workforce is
based in St. Louis; the remainder is split among their
manufacturing plants.
In the United States, the focus of sales is on the eastern
seaboard, California, the Southeast, and the south central states,
which have the greatest concentration of customers. Outside the
United States, PLE’s sales include a European market, a
growing South American market, and developing markets in the
Pacific Rim and China. The market is cyclical, but the different
products and regions balance some of this, with just less than
30% of total sales in the spring and summer (in the United
States), about 25% in the fall, and about 20% in the winter.
Annual sales are approximately $180 million.
Both end users and dealers have been established as important

5. customers for PLE. Collection and analysis of end-user data
showed that satisfaction with the products depends on high
quality, easy attachment/dismount of implements, low
maintenance, price value, and service. For dealers, key
requirements are high quality, parts and feature availabi lity,
rapid restock, discounts, and timeliness of support.
PLE has several key suppliers: Mitsitsiu, Inc., the sole source of
all diesel engines; LANTO Axles, Inc., which provides tractor
axles; Schorst Fabrication, which provides
subassemblies; Cuberillo, Inc, supplier of transmissions; and
Specialty Machining, Inc., a supplier of precision machine
parts.
To help manage the company, PLE managers have developed a
“balanced scorecard” of measures. These data, which are
summarized shortly, are stored in the form of a Microsoft Excel
workbook (Performance Lawn Equipment) accompanying this
book. The database contains various measures captured on a
monthly or quarterly basis and used by various managers to
evaluate business performance. Data for each of the key
measures are stored in a separate worksheet. A summary of
these worksheets is given next:
· Dealer Satisfaction, measured on a scale of 1–5 (1
= poor, 2 = less than average, 3 = average, 4 = above average,
and 5 = excellent). Each year, dealers in each region are
surveyed about their overall satisfaction with PLE. The
worksheet contains summary data from surveys for the past 5
years.
· End-User Satisfaction, measured on the same
scale as dealers. Each year, 100 users from each region are
surveyed. The worksheet contains summary data for the past 5
years.

6. · 2014 Customer Survey, results from a survey for
customer ratings of specific attributes of PLE tractors: quality,
ease of use, price, and service on the same 1–5 scale. This sheet
contains 200 observations of customer ratings.
· Complaints, which shows the number of
complaints registered by all customers each month in each of
PLE’s five regions (North America, South America, Europe, the
Pacific, and China).
· Mower Unit Sales and Tractor Unit Sales, which
provide sales by product by region on a monthly basis. Unit
sales for each region are aggregated to obtain world sales
figures.
· Industry Mower Total Sales and Industry Tractor
Total Sales, which list the number of units sold by all producers
by region.
· Unit Production Costs, which provides monthly
accounting estimates of the variable cost per unit for
manufacturing tractors and mowers over the past 5 years.
· Operating and Interest Expenses, which provides
monthly administrative, depreciation, and interest expenses at
the corporate level.
· On-Time Delivery, which provides the number of
deliveries made each month from each of PLE’s major
suppliers, number on time, and the percent on time.
· Defects After Delivery, which shows the number
of defects in supplier-provided material found in all shipments
received from suppliers.
· Time to Pay Suppliers, which provides
measurements in days from the time the invoice is received

7. until payment is sent.
· Response Time, which gives samples of the times
taken by PLE customer-service personnel to respond to service
calls by quarter over the past 2 years.
· Employee Satisfaction, which provides data for
the past 4 years of internal surveys of employees to determine
their overall satisfaction with their jobs, using the same scale
used for customers. Employees are surveyed quarterly, and
results are stratified by employee category: design and
production, managerial, and sales/administrative support.
In addition to these business measures, the PLE database
contains worksheets with data from special studies:
· Engines, which lists 50 samples of the time
required to produce a lawn-mower blade using a new
technology.
· Transmission Costs, which provides the results of
30 samples each for the current process used to produce tractor
transmissions and two proposed new processes.
· Blade Weight, which provides samples of mower-
blade weights to evaluate the consistency of the production
process.
· Mower Test, which lists test results of mower
functional performance after assembly for 30 samples of 100
units each.
· Employee Retention, data from a study of
employee duration (length of hire) with PLE. The 40 subjects
were identified by reviewing hires from 10 years prior and
identifying those who were involved in managerial positions

8. (either hired into management or promoted into management) at
some time in this 10-year period.
· Shipping Cost, which gives the unit shipping cost
for mowers and tractors from existing and proposed plants for a
supply-chain-design study.
· Fixed Cost, which lists the fixed cost to expand
existing plants or build new facilities, also as part of the
supply-chain-design study.
· Purchasing Survey, which provides data obtained
from a third-party survey of purchasing managers of customers
of Performance Lawn Care.
Dealer SatisfactionDealer Satisfaction Survey
Scale:012345Sample North
AmericaSize2010102142211502011002142 01450201211183415
6020131261234451002014235154456125South
America2010000262102011000262102012001411143020130113
12335020141124226090Europe201000137415201100128415201
200121572520130012216302014001417830Pacific
Rim2010001220520110011305201200113162013000253102014
00127212China2012000100120130014207201400158216
End-User SatisfactionEnd-User SatisfactionSample North
America012345Size201013615373810020111241835401002012
12517344110020130241533461002014023153149100South
America2010125183638100201113617363710020120261937361
0020130252037361002014025193737100Europe2010124213636
10020111252134371002012114263731100201311317413710020
14012194533100Pacific
Rim2010235154134100201112715413410020121251640361002
0130241740371002014013194235100China20120336281050201
3122430115020140113311450
2014 Customer Survey2014 Customer SurveyRegionQualityEase

9. of
UsePriceServiceNA4134NA4445NA4543NA5444NA5454NA55
35NA5442NA5545NA4445NA4545NA4514NA5544NA5433NA
4544NA5435NA5525NA5425NA5425NA4544NA4454NA4424N
A4334NA5525NA5343NA5445NA5525NA5553NA4454NA5444
NA5155NA5435NA4514NA4435NA5344NA5524NA5444NA55
44NA5545NA4335NA5443NA5434NA5515NA5454NA3434NA
5424NA5545NA5534NA5444NA5444NA5445NA5414NA5455N
A5534NA5445NA4355NA5444NA5555NA5545NA4444NA5455
NA4554NA5554NA5535NA5444NA5452NA4455NA4445NA54
44NA5435NA5454NA5545NA5444NA5452NA5345NA5455NA
5415NA4535NA3525NA5544NA4435NA3245NA1434NA4535N
A5544NA4555NA5545NA5544NA4245NA5454NA5454NA5543
NA5555NA4553NA5545NA4455NA5534NA4524NA5554NA45
43NA4554SA5435SA5424SA5455SA4245SA5445SA4525SA54
44SA4535SA4443SA4424SA5434SA3355SA5434SA5425SA443
4SA4435SA1534SA5424SA4444SA4455SA5424SA4455SA4443
SA3345SA5444SA4441SA4555SA4145SA4544SA4445SA5434S
A4445SA5543SA5544SA4424SA4445SA5445SA5444SA5414S
A3445SA4354SA4423SA5433SA4345SA5355SA5444SA5444S
A3434SA4414SA4343Eur4553Eur4442Eur3454Eur3413Eur4455
Eur5555Eur5551Eur4554Eur3444Eur3533Eur4454Eur5455Eur5
344Eur5545Eur3444Eur4545Eur4544Eur5445Eur4544Eur3534E
ur4442Eur5534Eur5345Eur4524Eur4344Eur5433Eur2444Eur545
4Eur4543Eur5415Pac5445Pac5555Pac4444Pac4344Pac5454Pac
4444Pac5545Pac4233Pac3444Pac5445China5544China5543Chi
na4433China4433China4432China4433China4432China3433Chi
na3422China2321
Complaints ComplaintsMonthWorldNASAEurPacChinaJan-
1016910212523Feb-1018711513554Mar-1021012815616Apr-
1022613616677May-1023213717735Jun-1026115119829Jul-
1024514018807Aug-1022312816763Sep-1019510315734Oct-
101749614622Nov-101548411590Dec-10163999541Jan-
1119512310593Feb-1122114113625Mar-1124015216666Apr-
11264163207011May-1128317822758Jun-11296170288612Jul-
11269153258110Aug-1125614623798Sep-1123113120737Oct-

10. 1121412516685Nov-1120111813664Dec-111719611613Jan-
12200112156643Feb-12216117187164Mar-
12234126207693Apr-122531382379112May-
122821522685145Jun-123051633091156Jul-
122961562889185Aug-122791482686154Sep-
122661432482134Oct-122431312176123Nov-
122321281873103Dec-12203107157074Jan-
13216110197485Feb-132391232379104Mar-
132661382683136Apr-132841503088115May-
133151693391157Jun-133401813795198Jul-
133191693492177Aug-133041603290157Sep-
132771412987146Oct-132501232683126Nov-
132281122477105Dec-13213105237474Jan-
14240121268085Feb-142511262882105Mar-
142811483185125Apr-142981553589136May-
143221683995128Jun-1435018343981511Jul-
1433017041951410Aug-143111583893139Sep-
142891493389117Oct-14265136308586Nov-
14239121268075Dec-14219108237675
Mower Unit SalesMower Unit
SalesMonthNASAEuropePacificChinaWorldJan-
10600020072010007020Feb-10795022099012009280Mar-
108100250132011009780Apr-1090502801650120011100May-
1099003101590130011930Jun-10102003001620120012240Jul-
1087302801590140010740Aug-1081402501560130010080Sep-
106480230159013008430Oct-105990220132012007650Nov-
10532021099013006650Dec-10464018066014005620Jan-
11598021069014007020Feb-117620240102015009030Mar-
1183702501290140010050Apr-1188302901620150010890May-
1193103301650130011420Jun-11102303101590140012270Jul-
1187202901560150010720Aug-117710270153014009650Sep-
116320250159015008310Oct-115840250126016007510Nov-
11496024090015006250Dec-11435021066015005370Jan-
12602022057016006970Feb-12792025084015009160Mar-
128430270111016009970Apr-1290403101500170011020May-
1298203601440160011780Jun-12103703301410170012280Jul-

11. 1290503101440160010960Aug-127620300141017009500Sep-
126420280135018008230Oct-125890270108018007420Nov-
12534026084019006630Dec-12443023051018005350Jan-
13610025048020007030Feb-13801027075019009220Mar-
1384302801140200010050Apr-1391103201410210011050May-
1397303801340190011640Jun-13101203601360200012040Jul-
1390803201410200011010Aug-137820310149021009830Sep-
136540300131022008370Oct-13601029098021007490Nov-
13527027077022006530Dec-13538026043023006300Jan-
14621027040020007080Feb-14803028075019009250Mar-
148540300970210010020Apr-1491203401310220510995May-
14957039012602001611436Jun-
141023038012402102212082Jul-
14958035013002302611486Aug-1476803401250220149504Sep-
1468703201210220158635Oct-145930310970230117451Nov-
14526030065024036453Dec-14483029030023015651
Tractor Unit SalesTractor Unit
SalesMonthNASAEurPacChinaWorldJan-
1057025056021201592Feb-1061127060023001711Mar-
1063026068024001810Apr-1068427065026301867May-
1065028058026901779Jun-1060027059028001740Jul-
1051226476029001826Aug-1050028064527001695Sep-
1047829065026301681Oct-1045528067025801663Nov-
1040729088824001825Dec-1036028085023001720Jan-
1157132062025001761Feb-1165035076027502035Mar-
1174039074227002142Apr-1184044078028002340May-
1183047069029002280Jun-1176049072130002271Jul-
1168148168031202154Aug-1167046071130502146Sep-
1164046069529002085Oct-1162044065026001970Nov-
1157043668025001936Dec-1153342065724001850Jan-
12620510610250102000Feb-12792590680250122324Mar-
12890610730260202510Apr-12960600820270222672May-
121040620810290202780Jun-121032640807310242813Jul-
121006590760340202716Aug-12910600720320312581Sep-
12803670660313302476Oct-12730630630290372317Nov-
12699710603280322324Dec-12647570570260332080Jan-

12. 13730650500287352202Feb-13930680590290502540Mar-
131160724620300632867Apr-131510730730310683348May-
131650760740330703550Jun-131490800720340823432Jul-
131460840670350803400Aug-131390830610341903261Sep-
1313608205993301003209Oct-1313408105603201023132Nov-
1312408275503001103027Dec-1311037505202901142777Jan-
1412507804802001112821Feb-1415508055232101213209Mar-
1418208305602201233553Apr-1420108905702301203820May-
1422309305902531304133Jun-1424909806002701364476Jul-
14244010025802801344436Aug-1423349705702501324256Sep-
1421909605502301374067Oct-1420809305302201303890Nov-
1420509205171901393816Dec-1420049024901901313717
Industry Mower Total SalesIndustry Mower Total
SalesMonthNASAEurPacWorldJan-
106000057113091104574662Feb-
107718461117679111196585Mar-
1077885658227591068102369Apr-
1086190778279661237116171May-
1096117886278951313126210Jun-
1097143882305661176129768Jul-
1084757848294441359116409Aug-
1079804735283641238110141Sep-
106480065728393121595065Oct-
105930759524444115485500Nov-
105215755318000126271972Dec-
104504946212453138659349Jan-
115862755312778144373401Feb-
117620061518214151596545Mar-
1182871658238891373108791Apr-
1184904784294551442116584May-
1193100846294641215124625Jun-
1193000838274141333122585Jul-
1183048763273681415112594Aug-
1174854694273211296104164Sep-
116076962529444140292241Oct-
115561961023774146881470Nov-

13. 114815557117308135167386Dec-
114264751212941138957489Jan-
125788553710962150970892Feb-
127764759515273140294917Mar-
1281845659205561524104583Apr-
1286095756267861574115211May-
1291776878248281468118949Jun-
12100680825247371560127801Jul-
1286190756248281441113216Aug-
127188771425179154599325Sep-
126000065124545166786863Oct-
125556664319286169877193Nov-
125085761915273181068558Dec-
12425965489107173153982Jan-
13580955818571188769135Feb-
137556661413158184591182Mar-
1380286622196551923102486Apr-
1385140727251791981113027May-
1390093826231031810115832Jun-
1395472783242861942122482Jul-
1387308681247371961114686Aug-
1374476646266072000103729Sep-
136169862522982207587381Oct-
135723861716897201976771Nov-
135067358713750209567105Dec-
13512385917818215061797Jan-
14597125637547185269673Feb-
147796157113889174394165Mar-
1483725625183021892104544Apr-
1490297723251922037118250May-
1491143848247061887118583Jun-
1499320792253061944127363Jul-
1493922745270832170123919Aug-
1473143739260422037101961Sep-
146669966726304201895688Oct-
145647666022558207281766Nov-

14. 145106862514773218268648Dec-14468936086977203556510
Industry Tractor Total SalesIndustry Tractor Total
SalesMonthNASAEurPacChinaWorldJan-
108143984509198727815483Feb-
10859210515310109028316325Mar-
10863010166071112728517129Apr-
10894710275856120928817327May-
10844210575273122128616278Jun-
10750010195315132728715448Jul-
1061459777170132428915905Aug-
10588210575926126829014422Sep-
10559510866075120929314258Oct-
10523310456321116829514061Nov-
10449410788381112729815378Dec-
10391310297944108530114272Jan-
11593811725688118530614289Feb-
11663312737037128630216530Mar-
11732714236981128630317320Apr-
11807716127500134630718842May-
11783017286571138830917826Jun-
11710318156990144931217669Jul-
11623917766667149031516487Aug-
11603616856762144931816250Sep-
11566416796635139432115692Oct-
11534516186311125631514844Nov-
11483115646476121431814402Dec-
11445415226250117132013716Jan-
12529918355922120833314597Feb-
12652921156667121431316836Mar-
12712022027228125660618412Apr-
12761921518200131157119852May-
12838722147941141555620513Jun-
12811022787921152052620355Jul-
12775221007677167551319716Aug-
12689421287200158476918575Sep-
12601523676735152775017394Oct-

15. 12536822116495142273216226Nov-
12496424836061136671415587Dec-
12444419865816126269814207Jan-
13500022575051137371414394Feb-
136284235360821436106317218Mar-
137785245763271478126419310Apr-
139934251776041512133322901May-
1310645261277891642155624244Jun-
139491274973471667173922993Jul-
139182288769791733170222483Aug-
138528283364891700191521465Sep-
138293278963161642208321123Oct-
138221276558331576212820523Nov-
137470274657891493229219789Dec-
136509253455911450224518329Jan-
147267263551061010229218311Feb-
148807270354741045244920477Mar-
1410168279560221106240022489Apr-
1411044299760641150235323607May-
1412120313163441244260025439Jun-
1413459331165931357265327374Jul-
1413048339063041421260026764Aug-
1412275327760641263254925428Sep-
1411347323257891173245323995Oct-
1410667313156991128251723142Nov-
141045930875604974254122666Dec-
141008230305444979245321989
Unit Production CostsUnit Production
CostsMonthTractorMowerJan-10$1,750$50Feb-
10$1,755$50Mar-10$1,763$51Apr-10$1,770$51May-
10$1,778$51Jun-10$1,785$51Jul-10$1,792$51Aug-
10$1,795$51Sep-10$1,801$52Oct-10$1,804$52Nov-
10$1,810$52Dec-10$1,813$52Jan-11$1,835$55Feb-
11$1,841$55Mar-11$1,848$55Apr-11$1,854$55May-
11$1,860$56Jun-11$1,866$56Jul-11$1,872$56Aug-
11$1,878$56Sep-11$1,885$56Oct-11$1,892$57Nov-

16. 11$1,897$57Dec-11$1,903$57Jan-12$1,925$59Feb-
12$1,931$59Mar-12$1,938$59Apr-12$1,944$59May-
12$1,950$59Jun-12$1,956$60Jul-12$1,963$60Aug-
12$1,969$60Sep-12$1,976$60Oct-12$1,983$60Nov-
12$1,990$61Dec-12$1,996$61Jan-13$1,940$59Feb-
13$1,946$59Mar-13$1,952$59Apr-13$1,958$59May-
13$1,964$60Jun-13$1,970$60Jul-13$1,976$60Aug-
13$1,983$60Sep-13$1,990$60Oct-13$1,996$60Nov-
13$2,012$61Dec-13$2,008$61Jan-14$2,073$63Feb-
14$2,077$63Mar-14$2,081$63Apr-14$2,086$63May-
14$2,092$63Jun-14$2,098$63Jul-14$2,104$64Aug-
14$2,110$64Sep-14$2,116$64Oct-14$2,122$64Nov-
14$2,129$64Dec-14$2,135$64
Operating & Interest ExpensesOperating and Interest
ExpensesMonthAdministrativeDepreciationInterestJan-
10$633,073$140,467$7,244Feb-10$607,904$165,636$7,679Mar-
10$630,687$142,853$6,887Apr-
10$613,401$160,139$6,917May-
10$607,664$165,876$8,316Jun-10$632,967$140,573$7,428Jul-
10$609,604$163,936$8,737Aug-
10$607,749$165,791$7,054Sep-10$603,367$170,173$8,862Oct-
10$629,083$144,457$8,488Nov-
10$611,995$161,545$7,049Dec-10$625,712$147,828$8,807Jan-
11$656,123$175,447$7,430Feb-11$652,679$178,891$6,791Mar-
11$655,521$176,049$8,013Apr-
11$676,581$154,989$8,979May-
11$676,581$154,989$7,484Jun-11$656,440$175,130$7,858Jul-
11$661,969$169,601$7,424Aug-
11$677,212$154,358$6,848Sep-11$653,545$178,025$6,751Oct-
11$657,388$174,182$8,160Nov-
11$672,475$159,095$7,898Dec-11$656,325$175,245$8,953Jan-
12$723,594$226,526$9,443Feb-12$759,042$191,078$8,464Mar-
12$749,187$200,933$10,264Apr-
12$751,499$198,621$8,547May-
12$741,452$208,668$8,578Jun-12$729,122$220,998$9,519Jul-
12$734,783$215,337$9,343Aug-

17. 12$748,208$201,912$8,448Sep-12$738,186$211,934$9,957Oct-
12$759,403$190,717$9,738Nov-
12$726,183$223,937$9,785Dec-12$757,037$193,083$8,191Jan-
13$672,232$179,138$9,914Feb-13$665,023$186,347$9,954Mar-
13$667,657$183,713$10,859Apr-
13$654,198$197,172$9,730May-
13$659,435$191,935$10,430Jun-
13$661,190$190,180$10,222Jul-
13$647,321$204,049$10,102Aug-
13$666,743$184,627$10,610Sep-
13$678,705$172,665$9,374Oct-
13$658,990$192,380$10,830Nov-
13$656,221$195,149$9,017Dec-
13$676,934$174,436$10,423Jan-
14$641,571$210,589$9,985Feb-14$634,973$217,187$9,766Mar-
14$662,054$190,106$11,148Apr-
14$654,962$197,198$9,339May-
14$645,579$206,581$9,468Jun-14$658,112$194,048$10,324Jul-
14$637,711$214,449$9,737Aug-
14$638,317$213,843$9,290Sep-14$651,996$200,164$9,213Oct-
14$630,766$221,394$10,143Nov-
14$645,095$207,065$10,383Dec-14$637,807$214,353$9,059
On-Time DeliveryOn-Time DeliveryMonthNumber of
deliveriesNumber On TimePercentJan-101086106998.4%Feb-
101101108098.1%Mar-101116108997.6%Apr-
101216119998.6%May-101183116898.7%Jun-
101176116098.6%Jul-101198118198.6%Aug-
101205118998.7%Sep-101223121098.9%Oct-
101209119498.8%Nov-101198118098.5%Dec-
101243122398.4%Jan-111220120198.4%Feb-
111241122498.6%Mar-111237121798.4%Apr-
111258124298.7%May-111262124698.7%Jun-
111227121298.8%Jul-111243122798.7%Aug-
111281126498.7%Sep-111272125498.6%Oct-
111295127898.7%Nov-111298128198.7%Dec-
111318129698.3%Jan-121281126498.7%Feb-

18. 121320130498.8%Mar-121352133498.7%Apr-
121336132098.8%May-121291127698.8%Jun-
121342132698.8%Jul-121352133798.9%Aug-
121377136098.8%Sep-121385136898.8%Oct-
121356133898.7%Nov-121362134698.8%Dec-
121349133398.8%Jan-131386137198.9%Feb-
131358134298.8%Mar-131371135698.9%Apr-
131362134899.0%May-131350133899.1%Jun-
131381136698.9%Jul-131392137899.0%Aug-
131371135999.1%Sep-131402138798.9%Oct-
131384137099.0%Nov-131399137798.4%Dec-
131369135799.1%Jan-141401139099.2%Feb-
141388137699.1%Mar-141395138599.3%Apr-
141412140199.2%May-141403139299.2%Jun-
141415140299.1%Jul-141426141599.2%Aug-
141431142099.2%Sep-141445142698.7%Oct-
141425141499.2%Nov-141413140399.3%Dec-
141456142798.0%
Defects After DeliveryDefects After DeliveryDefects per
million items received from
suppliersMonth20102011201220132014January81282882468257
1February810832836695575March813847818692547April82383
9825686542May832832804673532June848840812681496July83
7849806696472August831857798688460September8278398046
71441October838842713645445November826828705617438Dec
ember819816686603436
Time to Pay SuppliersTime to Pay SuppliersMonthWorking
DaysJan-108.32Feb-108.28Mar-108.29Apr-108.32May-
108.36Jun-108.35Jul-108.34Aug-108.32Sep-108.36Oct-
108.33Nov-108.32Dec-108.29Jan-117.89Feb-117.65Mar-
117.58Apr-117.53May-117.48Jun-117.45Jul-117.36Aug-
117.35Sep-117.32Oct-117.3Nov-117.27Dec-117.25Jan-
127.22Feb-127.21Mar-127.22Apr-127.29May-127.25Jun-
127.23Jul-127.28Aug-127.25Sep-127.24Oct-127.26Nov-
127.21Dec-127.23Jan-137.24Feb-137.19Mar-137.21Apr-
137.23May-137.22Jun-137.19Jul-137.17Aug-137.15Sep-

19. 137.16Oct-137.16Nov-137.15Dec-137.14Jan-147.12Feb-
147.11Mar-147.11Apr-147.11May-147.11Jun-147.12Jul-
147.08Aug-147.09Sep-147.09Oct-147.04Nov-147.06Dec-147.08
Response TimeResponse times to customer service callsQ1
2013Q2 2013Q3 2013Q4 2013Q1 2014Q2 2014Q3 2014Q4
20144.364.333.714.442.753.451.672.555.424.732.524.073.241.9
52.582.305.501.632.695.114.352.773.471.042.794.213.473.495.
581.833.121.595.556.895.124.692.893.721.003.113.650.921.006
.365.094.595.404.058.025.273.448.262.331.173.903.384.000.90
6.041.911.691.464.491.263.343.852.538.933.881.902.060.904.9
25.002.396.853.392.954.492.313.553.523.265.695.144.693.572.
713.525.204.683.050.983.343.411.651.255.133.595.912.343.593
.313.582.185.291.071.002.804.032.792.964.351.002.861.823.06
2.392.093.782.462.184.443.742.401.634.282.872.074.554.876.1
11.592.404.470.902.902.136.764.783.054.441.944.872.585.242.
844.131.504.963.903.115.504.081.257.175.584.413.320.902.474
.043.435.703.113.402.203.524.245.092.981.001.083.153.523.18
1.887.664.653.403.634.872.310.904.254.652.662.041.863.971.0
01.355.080.904.994.371.903.855.901.624.402.013.762.476.072.
811.091.871.641.343.123.201.001.764.601.036.408.052.125.831
.005.583.522.313.684.914.323.941.194.924.141.993.925.063.61
2.473.792.634.133.974.133.264.023.895.863.272.431.003.344.2
62.636.880.902.862.343.513.281.704.471.712.243.832.532.413.
242.304.186.390.901.794.142.473.255.354.736.573.872.702.654
.025.202.332.654.182.463.613.212.035.283.672.368.823.840.90
3.853.624.334.733.643.352.433.382.204.124.641.055.625.501.5
44.384.571.402.652.670.906.510.902.872.992.493.424.166.400.
903.692.114.192.673.970.903.212.871.732.863.034.331.263.513
.557.453.523.121.901.956.165.955.933.492.231.862.092.706.40
2.055.523.035.352.411.031.761.008.214.967.465.112.982.952.6
43.632.524.854.846.460.907.424.495.343.995.572.885.611.013.
791.623.742.594.820.953.634.562.481.105.631.343.183.053.875
.672.714.50
Employee SatisfactionEmployee Satisfaction ResultsAverages
using a 5 point scaleDesign &Sales & QuarterProductionSample
sizeManagerSample sizeAdministrationSample sizeTotalSample

20. size1st Q-112.861003.81103.51303.071402nd Q-
112.911003.76103.38303.071403rd Q-
112.841003.86103.45303.041404th Q-
112.831003.48103.61303.041401st Q-
122.911003.75203.37303.111502nd Q-
122.941003.92203.53303.191503rd Q-
122.861003.89203.47303.121504th Q-
122.831003.58203.66303.101501st Q-
132.951003.82203.71403.251602nd Q-
133.011004.01203.53403.271603rd Q-
133.031003.92203.62403.291604th Q-
132.961003.84203.48403.201601st Q-
143.051003.92203.52403.281602nd Q-
143.121004.00203.37403.291603rd Q-
143.061003.93203.46403.271604th Q-
143.021003.70203.59403.25160
EnginesEngine Production TimeSampleProduction Time
(min)165.1262.3360.4458.7558.1656.9757.0856.5955.11054.31
153.71253.21352.81452.51552.11651.81751.51851.31950.92050
.52150.22250.02349.72449.52549.32649.42749.12849.02948.83
048.53148.33248.23348.13447.93547.73647.63747.43847.13946
.94046.84146.74246.64346.54446.54546.24646.34746.04845.84
945.75045.6
Transmission CostsUnit Tractor Transmission
CostsCurrentProcess AProcess
B$242.00$242.00$292.00$176.00$275.00$321.00$286.00$199.0
0$314.00$269.00$219.00$242.00$327.00$273.00$278.00$264.0
0$265.00$300.00$296.00$435.00$301.00$333.00$285.00$286.0
0$242.00$384.00$315.00$288.00$387.00$300.00$314.00$299.0
0$304.00$302.00$145.00$300.00$335.00$266.00$351.00$242.0
0$216.00$277.00$281.00$331.00$284.00$289.00$247.00$276.0
0$259.00$280.00$312.00$322.00$267.00$273.00$209.00$210.0
0$281.00$282.00$391.00$303.00$304.00$297.00$306.00$391.0
0$346.00$312.00$236.00$230.00$287.00$383.00$332.00$306.0
0$299.00$301.00$312.00$300.00$277.00$295.00$278.00$336.0
0$288.00$303.00$217.00$313.00$315.00$274.00$286.00$321.0

21. 0$339.00$338.00
Blade WeightBlade Weight
SampleWeight14.8824.9235.0244.9755.0064.9974.8685.0795.04
104.87114.77125.14135.04145.00154.88164.91175.09184.97194
.98205.07215.03225.12235.08244.86255.11264.92275.18284.93
295.12305.08314.75324.99335.00344.91355.18364.95374.63384
.89395.11405.05415.03425.02434.96445.04454.93465.06475.07
485.00495.03505.00514.95524.99535.02544.90555.10565.01574
.84585.01594.88604.97614.97625.06635.06645.04654.87665.00
675.03685.02695.02705.06715.21725.09734.97745.01754.90764
.89774.93785.16795.02805.01815.10825.03835.07844.92855.08
864.96874.74884.91895.12905.00914.93924.88934.88944.81955
.16965.03974.87985.09994.941005.081014.971025.231035.1210
45.091055.121064.931074.791085.101095.121104.861115.0011
24.941134.951144.951154.871165.091174.941185.011195.0412
05.051215.051224.971234.961244.961254.991265.041274.9112
85.191295.031304.991315.121324.971334.881345.071355.0113
64.891374.951385.091395.091404.891414.931424.851435.0314
44.921455.091464.991474.921484.871494.901505.021515.2115
25.021534.915451555.161565.031574.961585.041594.981605.0
71615.021625.081634.851644.91654.971665.091674.891684.87
1695.011704.971715.871725.331735.111745.071754.931764.99
1775.041785.141795.091805.061814.851824.931835.041845.09
1855.071864.991875.011884.881894.931905.11914.941924.881
934.891944.891954.851964.821975.021984.91994.732005.0420
15.072024.812035.042045.032055.012065.142075.122084.8920
94.912104.972114.982125.012135.012145.092154.932165.0421
75.112185.072194.952204.862215.132224.952235.222244.8122
54.912264.952274.942284.812295.112304.812314.972325.0723
35.032344.812354.952364.892375.082384.932394.992404.9424
15.132425.022435.072444.822455.032464.852474.892484.8224
95.182505.022515.052524.882535.082544.982555.022564.9925
75.022585.032595.022605.072614.952624.952634.942645.1226
55.082664.912674.962684.962694.942705.192714.912725.0127
34.932745.052754.962764.922774.952785.082794.972805.0428
14.942824.982835.032845.052854.912865.092875.212884.8728

22. 95.022904.812914.962925.062934.862944.962954.992964.9429
75.062984.952995.023005.013015.043025.013035.023045.0330
55.183065.083075.143084.923094.973104.923115.143124.9231
35.033144.983154.763164.943174.923184.913194.963205.0232
15.133225.133234.923244.983254.893264.883275.113285.1132
95.083305.033314.943324.883334.913344.863354.893364.9133
74.873384.933395.143404.873414.983424.883434.883445.0134
54.933464.933474.993484.913494.963504.78
Mower TestMower Test Functional
PerformanceSampleObservation12345678910111213141516171
81920212223242526272829301PassFailPassPassPassPassPassPa
ssPassPassPassPassPassPassPassPassPassPassPassPassPassPass
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assPassPassPassPassPassPassPassPassPassPassPassPassPassPass
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s9PassPassPassPassPassPassPassPassPassPassPassPassPassPass
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assPassPass11PassPassPassPassPassPassPassPassPassPassPassP
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ssPassPassPassPassPass13PassPassPassPassPassPassPassPassPa

23. ssPassPassPassPassPassPassPassPassPassPassPassPassPassPass
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sPassPassPassPassPassPassPassPassPassPassPass17PassPassPas
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assPassPassPassPassPassPassPassPassPassPassPassPass18PassP
assPassPassFailPassPassPassPassPassPassPassPassPassPassPass
PassPassPassPassPassPassPassPassPassPassPassPassPassPass19
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ssPassPassPassPassPassPassPassPassPassPassPassPassPassPass
Pass20PassPassPassPassPassPassPassPassPassPassPassPassPass
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assPassPassPassPass23PassPassPassPassPassPassPassPassPassP
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PassPassPassPassPassPassPassPassPass26PassFailPassPassPass
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ssPassPassPassPassPassPassPassPassPassPass27PassPassPassPa
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PassPassPassPassPassPassPassPassPassPassPassPass28PassPass
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ssPassPassPassPassPassPassPassPassPassPassPassPassPass29Pa
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ss30PassPassPassPassPassPassPassPassPassPassPassPassPassPa

24. ssPassFailPassPassPassPassPassPassPassPassPassPassPassPassP
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assPassPassPassPassPassPassPassPassPass37PassPassPassPassP
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PassPassPassPassPassPassPassPassPassPassPass38PassPassPass
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ssPassPassPassPassPassPassPassPassPassPassPassPass39PassPa
ssPassPassPassPassPassPassPassPassPassPassPassPassPassPass
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ass41PassPassPassPassPassPassPassPassPassPassPassPassPassP
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25. PassPassPassPassPassPassPassPassPassPass48PassPassPassPass
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sPassPassPassPassPassPassPassPassPassPassPass49FailPassPass
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ssPassPassPassPassPassPassPassPassPassPassPassPass50PassPa
ssPassPassPassPassPassPassPassPassPassPassPassPassPassPass
PassPassPassPassPassPassPassPassPassPassPassPassPassPass51
PassPassPassPassPassPassPassPassPassPassPassPassPassPassPa
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Pass52PassPassPassPassPassPassPassPassPassPassPassPassPass
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ssPassPass53PassPassPassPassPassPassPassPassPassP assPassPa
ssPassPassPassPassPassPassPassPassPassPassPassPassPassPass
PassPassPassPass54PassPassPassPassPassPassPassPassPassPass
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Employee RetentionEmployee
RetentionYearsPLEYrsEducationCollege
GPAAgeGenderCollege
GradLocal10183.0133FYY10162.7825MYY10183.1526MYN10
183.8624FYY9.6162.5825FYY8.5162.9623MYY8.4173.5635M
YY8.4162.6423MYY8.2183.4332FYY7.9152.7534MNY7.6132.9
528MNY7.5132.5023MNY7.5162.8624MYY7.2152.3823FNY6.
8163.4727FYY6.5163.1026MYY6.3132.9821MNY6.2162.7123
MYN5.9132.9520FNY5.8183.3625MYY5.4162.7524MYN5.117
2.4832MYN4.8142.7628MNY4.7163.1225FYN4.5132.9623MN
Y4.3162.8025MYN4173.5724MYY3.9163.0026FYN3.7162.862
3MYN3.7153.1924MNN3.7163.5023FYN3.5142.8421MNY3.41
63.1324MYN2.5131.7522MNN1.8162.9825MYN1.5152.1322M
NN0.9162.7923FYY0.8183.1526MYN0.7131.8422FNN0.3183.7
924FYN
Shipping CostUnit Shipping Cost
PlantCustomerMowersTractorsSingaporeToronto$1.71$2.03Bir
minghamToronto$1.34$1.78FrankfurtToronto$1.52$1.87Mumba
iToronto$1.67$2.14Kansas
CityToronto$1.36$1.79AucklandToronto$1.86$2.19SantiagoTor
onto$1.49$2.13SingaporeShanghai$1.44$1.78BirminghamShang
hai$1.60$2.15FrankfurtShanghai$1.65$2.32MumbaiShanghai$1.
21$1.47Kansas
CityShanghai$1.58$2.13AucklandShanghai$1.18$1.63SantiagoS
hanghai$1.47$2.03SingaporeMexico
City$1.72$2.09BirminghamMexico
City$1.29$1.79FrankfurtMexico City$1.54$2.04MumbaiMexico
City$1.56$2.22Kansas CityMexico
City$1.32$1.76AucklandMexico City$1.50$2.07SantiagoMexico
City$1.22$1.58SingaporeMelbourne$1.43$1.70BirminghamMelb
ourne$1.52$2.06FrankfurtMelbourne$1.73$2.28MumbaiMelbour
ne$1.38$1.63Kansas

29. CityMelbourne$1.72$2.34AucklandMelbourne$0.91$1.17Santia
goMelbourne$1.49$1.80SingaporeLondon$1.88$2.68Birmingha
mLondon$1.47$1.77FrankfurtLondon$1.37$1.64MumbaiLondon
$1.44$1.82Kansas
CityLondon$1.49$1.86AucklandLondon$1.98$2.60SantiagoLon
don$1.58$2.14SingaporeCaracas$1.50$2.01BirminghamCaracas
$1.37$1.86FrankfurtCaracas$1.59$1.88MumbaiCaracas$1.61$2.
08Kansas
CityCaracas$1.54$1.90AucklandCaracas$1.54$1.98SantiagoCar
acas$1.00$1.26SingaporeAtlanta$1.73$2.35Birmin ghamAtlanta$
1.02$1.25FrankfurtAtlanta$1.42$1.70MumbaiAtlanta$1.57$2.23
Kansas
CityAtlanta$1.31$1.82AucklandAtlanta$1.74$2.26SantiagoAtla
nta$1.31$1.76
Fixed CostFixed Costs of Capacity Increase or New
ConstructionCurrent PlantsAdditional CapacityCostKansas
City10000$605,000.00Kansas
City20000$985,000.00Santiago5000$381,000.00Santiago10000$
680,000.00Proposed LocationsMaximum
capacityCostAuckland15,000$917,000.00Auckland20,000$1,136
,000.00Birmingham15,000$962,000.00Birmingham20,000$1,18
0,000.00Frankfurt15,000$874,000.00Frankfurt20,000$1,093,000
.00Mumbai15,000$750,000.00Mumbai25,000$959,000.00Singap
ore15,000$839,000.00Singapore20,000$1,058,000.00
Purchasing SurveyPurchasing SurveyDelivery speedPrice
levelPrice flexibilityManufacturing imageOverall
serviceSalesforce imageProduct qualityUsage LevelSatisfaction
LevelSize of firmPurchasing StructureIndustryBuying
Type4.10.66.94.72.42.35.2324.200111.836.36.62.548.4434.3110
13.45.25.764.32.78.2485.211122.717.15.91.82.37.8323.9111160
.99.67.83.44.64.5586.800131.93.37.94.82.61.99.7454.411124.62
.49.56.63.54.57.6465.800111.34.26.25.12.82.26.9444.311025.51
.69.44.73.537.6635.4001343.56.563.73.28.7545.411022.41.68.8
4.822.85.8324.300013.92.29.14.632.58.347500122.81.48.13.82.
11.46.6394.411013.71.58.65.72.73.76.738500114.71.39.96.73 2.
66.8545.900033.429.74.72.71.74.8494.700033.24.15.75.13.62.9

30. 6.2384.401124.91.87.74.33.41.55.9405.600025.31.49.76.13.33.9
6.8545.900134.71.39.96.732.66.855600033.30.98.642.11.86.341
4.500023.40.48.32.51.21.75.2353.30001349.17.13.53.48.4555.2
01032.41.56.74.81.92.57.2363.711015.11.48.74.83.32.63.8494.9
00024.62.17.95.83.42.84.7495.900132.41.56.64.81.92.57.2363.7
11015.21.39.76.13.23.96.7545.800133.52.89.93.53.11.75.4495.4
00134.13.75.95.53.938.4465.1110233.265.33.138433.311012.83
.88.96.93.33.28.253501035.229.35.93.72.44.6606.100033.43.76.
45.73.53.48.4473.811012.417.73.41.71.16.2354.111011.83.37.5
4.52.52.47.6393.611113.645.85.83.72.59.3444.8111240.99.15.4
2.42.67.3465.1001302.16.95.41.12.68.9293.911112.426.44.52.1
2.28.8283.311111.93.47.64.62.62.57.7403.711115.90.99.67.83.4
4.64.5586.700134.92.39.34.53.61.36.2535.9000351.38.64.73.12.
53.7484.8000222.66.53.72.41.78.5383.2111152.59.44.63.71.46.
354600033.11.9104.52.63.23.8554.900133.43.95.65.63.62.39.14
34.711125.80.28.84.532.46.7574.900135.42.1833.81.45.2533.80
0133.70.78.262.12.55.241500022.64.88.253.62.59535.211124.5
4.16.35.94.33.48.8505.511022.82.46.74.92.52.69.2323.711113.8
0.88.72.91.62.15.6393.700012.92.67.772.83.67.7474.201124.94.
47.46.94.649.6626.211025.42.59.65.5437.765600034.31.87.65.4
3.12.54.4465.600132.34.584.73.32.28.750511123.11.99.94.52.6
3.13.8544.800135.11.99.25.83.62.34.5606.100034.11.19.35.52.5
2.77.4475.3001333.85.54.93.42.66364.201121.127.24.71.63.210
403.411113.71.494.52.62.36.8454.900024.22.59.26.23.33.97.35
9600031.64.56.45.332.57.1464.511025.31.78.53.73.51.94.8584.
300032.33.78.35.232.39.1494.811123.65.45.96.24.52.98.4505.4
11125.62.28.23.141.65.3553.900133.62.29.94.82.91.94.9514.90
0035.21.39.14.53.32.77.3605.10013326.66.62.42.78.2414.11101
4.22.49.44.93.22.78.5495.200123.80.88.36.12.22.65.3425.10002
3.32.69.73.32.91.55.2475.1001311.97.14.51.53.19.9393.311114.
51.68.74.63.12.16.8565.100035.51.88.73.83.62.14.9594.500033.
44.65.58.244.46.3475.601121.62.86.16.42.33.88.2414.111012.3
3.77.6532.57.4374.401012.638.562.82.86.8535.611022.53.174.2
2.82.29433.711112.42.98.45.92.72.76.7515.511022.13.57.44.82.
82.37.2364.301012.91.27.36.122.5834411114.32.59.36.33.447.4
606.1000332.87.87.133.87.9494.401124.81.77.64.23.31.45.8395

31. .500023.14.25.17.83.645.9435.201121.92.754.92.22.58.2363.61
10140.56.74.52.22.1531400110.61.66.450.72.18.4253.411116.1
0.59.24.83.32.87.1605.2001322.85.252.42.78.4383.711013.12.2
6.76.82.62.98.4424.311012.51.8952.236334.40001
Assignments:
Elizabeth Burke has recently joined the PLE management team
to oversee production operations. She has reviewed the types of
data that the company collects and has assigned you the
responsibility to be her chief analyst in the coming weeks. To
prepare for this task, you have decided to review each
worksheet and determine whether the data were gathered from
internal sources, external sources, or have been generated from
special studies. Also, you need to know whether the measures
are categorical, ordinal, interval, or ratio.
.
Assignment 1:
· Prepare a report summarizing the characteristics of the metrics
used in each worksheet.
Assignment 2:
Elizabeth Burke has asked you to do some preliminary analysis
of the data in the Performance Lawn Equipment database.
· First, she would like you to edit the worksheets Dealer
Satisfaction and End-User Satisfaction to display the total
number of responses to each level of the survey scale across all
regions for each year.
· Second, she wants a count of the number of failures in the
worksheet Mower Test.

32. · Next, Elizabeth has provided you with prices for PLE products
for the past 5 years:
Year
Mower Price ($)
Tractor Price ($)
2010
150
3,250
2011
175
3,400
2012
180
3,600
2013
185
3,700
2014
190
3,800
· Create a new worksheet in the database to compute gross
revenues by month and region, as well as worldwide totals, for
each product using the data in Mower Unit Sales and Tractor
Unit Sales.
· Finally, she wants to know the market share for each product
and region based on the PLE and industry sales data in the
database.
· Create and save these calculations in a new worksheet.
Summarize all your findings in a report to Ms. Burke.
.
An important aspect of business analytics is good
communication. Summarize your findings and write up your

33. answers to this case formally in a well-written report as if you
were a consultant to Ms. Burke USING the template posted
below.
1. Executive Summary
2. Overview Case Analysis – What’s this case analysis about?
3. Scope of Consulting Work and Report –
· Detailed List of Assignments this case analysis is requesting.
4. Introduction
5. Analysis and Findings
· 5.1 Assignment(s) 1 – Statement
· Identify Business Problem -
“Define Problem statement [aka Case Analysis Assignment]”
· Analytics Tools and Models used and results
· Interpretation, Discussion, and Analysis of Findings and
Results –
Interpretation, Discussion, and Analysis of outcomes and results
of Analytics Tools and Models used
· Tip: Support your Interpretation, Discussion, and Analysis of
Results with the numbers you developed in your:
· Analytics Tools and Models used results
· Business Analytics Case Analysis EXCEL model(s) and
outcomes and results
· Recommendations

34. · 5.2 Assignment(s) 2 – Statement
· Identify Business Problem -
“Define Problem statement [aka Case Analysis Assignment]”
· Analytics Tools and Models used and results
· Interpretation, Discussion, and Analysis of Findings and
Results –
Interpretation, Discussion, and Analysis of outcomes and results
of Analytics Tools and Models used
· Tip: Support your Interpretation, Discussion, and Analysis of
Results with the numbers you developed in your:
· Analytics Tools and Models used results
· Business Analytics Case Analysis EXCEL model(s) and
outcomes and results
· Recommendations
· 5.n Assignment(s) n – Statement
· Identify Business Problem -
“Define Problem statement [aka Case Analysis Assignment]”
· Analytics Tools and Models used and results
· Interpretation, Discussion, and Analysis of Findings and
Results –
Interpretation, Discussion, and Analysis of outcomes and results
of Analytics Tools and Models used
· Tip: Support your Interpretation, Discussion, and Analysis of
Results with the numbers you developed in your:

35. · Analytics Tools and Models used results
· Business Analytics Case Analysis EXCEL model(s) and
outcomes and results
· Recommendations
6. Overall Case Analysis Findings Discussion
7. Overall Case Analysis Recommendations
8. Overall Case Analysis Conclusion(s)
9. Appendix/Appendices
10. Bibliography and References
please answer ALL Questions and Sections of this Data
Analytics for Business Case with great detail AND STEP BY
STEP being extremely methodical and accurate in your answers.
It is extremely important that for each Question and Section,
you write the entire question and you LABEL and/or PLACE the
appropriate headings and subheadings clearly for EACH part of
the question and/or section.