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Quantitative Literacy Faculty Learning Community An Experiment to Assess the Effectiveness of Simulations to Improve Quantitative Literacy Conducted Spring Semester 2011 By Lisa L. Verdon February 21, 2012 This quantitative literacy experiment took place in Spring 2011 in the business economics elective course of Marketing (BUEC 230). The experiment involves the repeated use of simulations to improve quantitative literacy. Although marketing is not itself a Q course, the prerequisite of Principles of Economics (ECON 101) is a Q course. The class started with 33 students and 31 students completed the course and all five simulations. Of the 31 students one student was a freshman, 7 students were sophomores, 12 students were juniors, and 11 students were seniors. While the majority of students were economics or business economics majors, 8 students were other majors. The simulations are from the Harvard Business School Publishing and conducted online via their website. There are two types of simulations used. The first simulation is for a medical equipment motor manufacturing company. The second simulation is for a rental car company in Florida. The first simulation was the most complex. This simulation was given at the beginning of the semester, as a sort of pretest, and again at the end of the semester. The simulation had many content pieces including four different types of customers. These four different types of customers all had different concerns ranging from temperature and motor life of the equipment to pricing and customer service. The students had to choose the size of their sales force, what sectors the sales force would be focused on, what price and discount to offer each sector, how much to spend on market research, and how much to spend on research and development to improve the motors. The second simulation was far less complex and was focused primarily on pricing. This scenario was presented using scaffolding. Initially, the rental car scenario was located in one city in Florida. The students had choice over the weekday and weekend price and the size of their fleet. As the simulation progressed the car rental locations increased to multiple cities where the students were allowed to have different weekday and weekend prices in each city, to allocate their fleet between the cities, and adjust the overall size of their fleet. In all scenarios students were presented with numeric information in a variety of formats. A sample screenshot of some of that information is provided in Appendix C. All scenarios included sales figures for their own company and their closest competitors. These sales figures reported price, quantity, and market share. Additionally, students were able to see historic financial statements for their company. All of this information was updated each time the student made a decision. The students were given an opportunity to make different decisions in 12 consecutive periods. Students were fired if they had three consecutive periods of losses.

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Page 1: Quantitative)Literacy)Faculty)Learning)Community))discover.wooster.edu/lverdon/files/2012/09/QL-Report.pdf · Quantitative)Literacy)Faculty)Learning)Community)) An)Experiment)to

Quantitative  Literacy  Faculty  Learning  Community    An  Experiment  to  Assess  the  Effectiveness  of  Simulations  to  Improve  Quantitative  Literacy  

Conducted  Spring  Semester  2011  By  Lisa  L.  Verdon  February  21,  2012  

 This  quantitative  literacy  experiment  took  place  in  Spring  2011  in  the  business  economics  elective  course  of  Marketing  (BUEC  230).  The  experiment  involves  the  repeated  use  of  simulations  to  improve  quantitative  literacy.  Although  marketing  is  not  itself  a  Q  course,  the  prerequisite  of  Principles  of  Economics  (ECON  101)  is  a  Q  course.  The  class  started  with  33  students  and  31  students  completed  the  course  and  all  five  simulations.  Of  the  31  students  one  student  was  a  freshman,  7  students  were  sophomores,  12  students  were  juniors,  and  11  students  were  seniors.    While  the  majority  of  students  were  economics  or  business  economics  majors,  8  students  were  other  majors.    The  simulations  are  from  the  Harvard  Business  School  Publishing  and  conducted  online  via  their  website.  There  are  two  types  of  simulations  used.  The  first  simulation  is  for  a  medical  equipment  motor  manufacturing  company.    The  second  simulation  is  for  a  rental  car  company  in  Florida.      The  first  simulation  was  the  most  complex.  This  simulation  was  given  at  the  beginning  of  the  semester,  as  a  sort  of  pre-­‐test,  and  again  at  the  end  of  the  semester.  The  simulation  had  many  content  pieces  including  four  different  types  of  customers.  These  four  different  types  of  customers  all  had  different  concerns  ranging  from  temperature  and  motor  life  of  the  equipment  to  pricing  and  customer  service.    The  students  had  to  choose  the  size  of  their  sales  force,  what  sectors  the  sales  force  would  be  focused  on,  what  price  and  discount  to  offer  each  sector,  how  much  to  spend  on  market  research,  and  how  much  to  spend  on  research  and  development  to  improve  the  motors.      The  second  simulation  was  far  less  complex  and  was  focused  primarily  on  pricing.    This  scenario  was  presented  using  scaffolding.  Initially,  the  rental  car  scenario  was  located  in  one  city  in  Florida.  The  students  had  choice  over  the  weekday  and  weekend  price  and  the  size  of  their  fleet.  As  the  simulation  progressed  the  car  rental  locations  increased  to  multiple  cities  where  the  students  were  allowed  to  have  different  weekday  and  weekend  prices  in  each  city,  to  allocate  their  fleet  between  the  cities,  and  adjust  the  overall  size  of  their  fleet.    In  all  scenarios  students  were  presented  with  numeric  information  in  a  variety  of  formats.    A  sample  screenshot  of  some  of  that  information  is  provided  in  Appendix  C.    All  scenarios  included  sales  figures  for  their  own  company  and  their  closest  competitors.  These  sales  figures  reported  price,  quantity,  and  market  share.  Additionally,  students  were  able  to  see  historic  financial  statements  for  their  company.  All  of  this  information  was  updated  each  time  the  student  made  a  decision.  The  students  were  given  an  opportunity  to  make  different  decisions  in  12  consecutive  periods.  Students  were  fired  if  they  had  three  consecutive  periods  of  losses.    

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A  description  of  the  simulation  assignment  is  attached  in  Appendix  A.  A  major  component  of  the  grade  was  the  profits  made  in  each  scenario.  To  receive  the  greatest  amounts  of  points  possible,  students  had  to  earn  profits  greater  than  two  standard  deviations  away  from  the  mean.  However,  most  of  the  points  for  the  assignments  came  from  a  write  up  of  their  experience  in  this  simulation.  The  written  portion  of  the  simulation  allowed  students  to  reflect  on  the  financial  information  that  they  saw,  as  well  as  the  decisions  that  they  made,  and  what  they  would  do  differently  in  the  future.    My  primary  measure  of  success  and  quantitative  literacy  is  based  on  increased  profits  from  the  first  simulation  to  the  last  simulation.  While  increase  profit  from  simulations  two  through  four  also  shows  an  increase  in  quantitative  literacy,  an  increase  in  the  fifth  simulation  demonstrates  that  students  are  able  to  take  that  knowledge  and  apply  it  to  a  different  situation.  Although  there  are  other  measures  in  these  simulations,  the  students  were  told  to  focus  on  profits,  so  other  measures  may  or  may  not  have  increased.    

  Simulation  5  -­‐  1  

p-­‐value   Simulation  4-­‐2  

p-­‐value  

Profits   $985,932   0.0394   $159,000,000   0.0000  Grade   -­‐4.0968   0.3754   -­‐0.8387   0.7723  Market  Share  

0.26%   0.5177   19.52%   0.0000  

   Looking  at  scenarios  1  and  5  we  do  see  a  statistically  significant  increase  in  the  cumulative  profit.  We  also  observed  a  statistically  significant  increase  in  the  cumulative  profit  and  market  share  going  from  scenarios  2  to  4.  There  is  no  significant  difference  between  students  of  different  grade  levels.  There  is  also  no  significant  difference  in  the  overall  grade  for  the  scenario  assignments.    Interestingly,  there  was  a  difference  between  different  grade  levels  in  the  first  simulation.  There  was  a  statistically  significant  difference  between  sophomores  and  seniors  both  in  market  share  and  cumulative  revenue.  In  both  of  these  variables  the  sophomore  students  had  greater  market  share  and  cumulative  revenue  then  the  seniors.  However,  there  was  not  a  statistically  significant  difference  between  these  groups  in  their  target  measure  of  cumulative  profit.  This  difference  seems  to  suggest  that  perhaps,  seniors  follow  directions  more  closely  then  underclassmen.    Overall,  these  results  suggest  that  simulations  are  effective  in  improving  quantitative  literacy  across  all  grade  levels.  Generally  speaking,  I  would  not  take  a  Business  Economics  elective  course  as  being  representative  of  a  greater  body  of  students.  However,  this  class  did  include  a  relatively  large  number  of  non-­‐majors.  Again,  all  of  the  students  in  this  class  had  been  through  a  quantitative  course  before  this  one.  It  is  unclear  if  simulations  would  have  the  same  impact  if  this  were  the  students’  first  exposure  to  use  of  quantitative  information.    

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Appendix  A  Simulation  Assignment  Instructions  and  Details  

   

MarketingSimulationDetailsBUEC230Spring2011

GeneralInformation

Wewillbeusingtwodifferentsimulations.Eachsimulationwillberunwithmultiplescenarios.Foreachscenario,youwillbeaskedtomakeaseriesofmonthlydecisions.Beforeeachdecision,youwillbeprovidedwithappropriateinformationtomakeyourdecisions.Aftereachdecision,theinformationisupdatedtoreflectyourdecisionandthebehaviorofyourcompetitors.Thisupdatedinformationshouldbeusedtomakeyourdecisionforthenextperiod.Thesemonthlydecisionswillresultinprofitsorlossesforyourcompanythatwillaccumulateuntiltheendofthescenario.Instructions

1. Eachscenariowillhaveanopenandclosedate.Youmustcompletethescenario,bymaking12monthsofdecisions,withinthattimeperiod.Failuretocompleteascenariowillresultinafailinggradeforthatsimulation.

2. Onceyouhavecompletedthescenario,youmustanalyzeyourresults.Thisanalysisshouldbenomorethantwopageslong.Itshouldbewrittenasanexecutivesummaryforyourmanager.Yourcompletedanalysismustbeapdffileemailedtoyourinstructorbycloseofbusiness(5pm)ontheduedate.Theanalysisshouldaddressthefollowingquestions:

A. Howwouldyoudescribethemarketforthisproduct?Isitrelatively

competitiveornot?Howdoyouknow?Includespecificinformationthatsupportsthisconclusion.

B. Howwouldyoudescribethebehaviorofyourcompetitors?C. Whatwasyourstrategyatthebeginningofthescenario?Howdid

youimplementthisstrategy?Didyouchangeyourstrategyatanypointinthesimulation?Whyorwhynot?

D. Whatwouldyoudodifferentlyifyouweretorunthisscenarioagain?

Grading

Eachscenariois10percentofyouroverallcoursegrade.Thismeanssimulationsmakeuphalfofyourgradesoputintheappropriatetimeandeffort.Thegradingforeachofthesimulationswillbebasedonyourparticipation,theprofitsyouearn,andyouranalysis.Eachsimulationisworth100pointsTheparticipationportionofyourgradeissimplypass/fail.Ifyoudonot

completeasimulationinthedesignatedtimeframe,youfailthatsimulation.

Youmayearnupto20pointsfortheprofitsofyourcompany.Thepointswillbedeterminedbasedonyourprofitsrelativetothemeanprofitfortheclass,ineach

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scenario.Achievingthemeanprofitresultsin10points.Foreveryonestandarddeviationaboveorbelowthemean,thestudentwilleithergain(above)orlose(below)5points.Thesegainsandlossesofpointsareboundsothemostpointsthatcanbegainedorlostis10.Example:Ifthemeanprofitis$100,000andthestandarddeviationis$25,000 Profit Points $30,000 0 $60,000 5 $85,000 10 $100,000 10 $110,000 10 $130,000 15 $165,000 20Theremaining80pointsareearnedthroughyourwrittenanalysis.Thewrittenanalysiswillbegradedbasedprimarilyoncontentbutappropriateform,tone,andlengthwillaffectyourgrade.Failuretodeliveryouranalysisasinstructedwillresultinanautomaticdeductionof10points.Lateassignmentswillnotbeaccepted.

Schedule

Opens Closes AnalysisDueSimulation1 1/17/11 1/26/11 1/28/11Simulation2 1/29/11 2/4/11 2/7/11Simulation3 2/8/11 2/28/11 3/4/11Simulation4 3/5/11 4/1/11 4/4/11Simulation5 4/5/11 4/25/11 4/29/11

SimulationDescriptions

PricingSimulation:UniversalRentalCar

(Simulations2–4)Description:Thisweb‐basedsimulationpresentsanengagingcontextinwhichstudentsdeveloptheirknowledgeofpricingbymanagingarentalcaroperation(Universal)inFloridaandimprovesregionalperformancebydevelopingapricingstrategy.Thesimulationinvolvesthreeregions‐‐Orlando,Tampa,andMiami‐‐whichvaryinsize,marketdynamics,andcustomermix.ThefocusiscompetitionbetweentwocarrentalcompanieswithplayersinputtingdecisionsforUniversal.Thesimulationlastsupto12simulatedmonths.Whetherassignedasindividualsorteams,players

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mustsetweekdayandweekendpricesforeachregionforeachperiod(month)and

makefleetcapacitydecisionsatseveralpointsthroughoutthesimulation.

MarketingSimulation:ManagingSegmentsandCustomers

(Simulations1and5)

Description:

Inthissingle‐playersimulation,studentsassumethepositionofCEOofamedical

motormanufacturerandaretaskedwithexecutingasuccessfulbusiness‐to‐

businessmarketingstrategyoveraperiodoftwelvefiscalquarters."Students

determineallaspectsofthecompany'sgo‐to‐marketapproach(includingsales‐

forcedeploymentanddistributionchannelstrategy)andassociatedelementsof

productpolicy,includingpricingandmarketpositioningofthecompany'sproduct

linetobothsmallandlargevolumecustomers.Studentsalsoprioritizethe

manufacturer'seffortsinacquiringandretainingcustomersinordertoachievea

combinationofsustainablerevenuesandprofitsandmaximizecumulativeprofitsat

theendofthesimulation.Thesimulationalsoillustratesthebenefitsofinvestment

inmarketresearch.

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Appendix  B  Written  Portion  Grading  Rubric  

   

Writing Assignment Rubric You writing assignments will be assessed according to the following criteria:

1. Attention to the Writing Task (20 points) Description: The writer fulfills the assignment with respect to length, topic, form, and purpose. This includes providing an answer to all questions posed in the assignment.

1 2 3 4 5

2. Quality of Ideas (30 points) Description: The writer presents a central argument supported by relevant materials. The reasoning is sound and arguments are critiqued appropriately. There is clear differentiation between the author’s work and referenced works.

1 2 3 4 5

3. Organization and Development (25 points)

Description: The writer presents the arguments in a logical ordering. There is a clear thesis, introduction, and conclusion. Each paragraph has a single topic and is connected to surrounding paragraphs. 1 2 3 4 5

4. Clarity and Style (15 points)

Description: The writing assignment is easy to read, uses the appropriate style, and demonstrates clarity. Appropriate variety is combined with proper sentence structures and transitional phrases.

1 2 3 4 5

5. Grammar and Mechanics (10 points)

Description: The writer employs proper grammar and spelling while avoiding run-on sentences and paragraphs, fragments, comma splices, etc. All research is properly referenced. 1 2 3 4 5

Scale 5 = no significant problems 4 = some minor problems, readability is not impaired 3 = many minor problems, still reasonably readable 2 = some significant problems, impairs readability 1 = many significant problems, readability significantly undermined

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Appendix  C  Simulation  Screen  Shot  

 

 

Do Not

Copy o

r Pos

t

This document is authorized for use only by Lisa Verdon until October 2011. Copying or posting is an infringement of copyright. [email protected] or 617.783.7860.

________________________________________________________________________________________________________________ This guide was prepared by Professors John T. Gourville, Thomas T. Nagle, and John Hogan for the sole purpose of aiding classroom instructors in the use of Universal Rental Car - Pricing Simulation, HBP No. 2093. This guide and the simulation are developed solely as the basis for class discussion and are not intended to serve as endorsements, sources of primary data, or illustrations of effective or ineffective management. Copyright © 2007 Harvard Business School Publishing. To order copies or request permission to reproduce materials, call 1-800-545-7685, write Harvard Business Publishing, Boston, MA 02163, or go to http://www.hbsp.harvard.edu. No part of this publication may be reproduced, stored in a retrieval system, used in a spreadsheet, or transmitted in any form or by any means—electronic, mechanical, photocopying, recording, or otherwise—without the permission of Harvard Business Publishing. Harvard Business Publishing is an affiliate of Harvard Business School.

FACILITATOR’S GUIDE

Universal Rental Car - Pricing Simulation

2661 R E V . N O V E M B E R 1 2 , 2 0 1 0

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Appendix  D  Simulation  Results  Comparisons  

 

     

 

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