DE LA SALLE UNIVERSITYCOURSE SYLLABUSCOLLEGE: Ramon V. del Rosario College of BusinessDEPARTMENT: DSICOURSE CODE: DECSCI2 (Decision Science 2)CLASS DAYS AND CLASS TIME:ROOM:COURSE DESCRIPTION:This is a three-unit course which provides business students with the necessary skills in decision making anchored on the science of quantification. This covers the judicious use of business information from the internal and external loci of the organization and to provide business enthusiasts with the basis to make informed business decisions. It includes a wide variety of data analyses based on substantial information in line with the ever changing and dynamic nature of the business environment. Emphasis is made on the practical applications of quantitative data, tools for data analysis, and methodology for developing inferences.It embraces a broad selection of inferential reasoning areas that will enhance the knowledge, skills, technology-know-how, and value orientation of business students in planning, controlling and decision-making. It will also help students in business develop their proficiency and comprehension in using relevant scientific or empirical information in determining how business decisions are made in real situations respective of the quantifiable data.LEARNING OUTCOMES (LO):On completion of the course, the student is expected to be able to do the following:ELGALEARNING OUTCOMEEffective communicatorsKnow and be familiar with the correct nomenclature andsymbols for parameters and statisticsDiscuss the assumptions under the different testingmethodologies Explain the results of the statistical methods employed tosolve a business problem in an understandable mannerWrite a term paper (with group members) that clear,concise, and generally free of grammatical andtypographical errorsCritical and creative thinkersRecognize problems as applications of the various tests ofhypothesis which have been discussedKnow the differences between various experimentaldesigns and when to use them. Apply the statistical methods and techniques to small scalebusiness and corporate management situationsAnalyze and solve statistical problems and interpretstatistical resultsTechnically proficient andLearn to use the calculator and the computer in generatingcompetent professionals andstatistical resultsleadersUtilize parametric and non-parametric statistical tools, ifrequired by their study Be familiar with the use of basic software (Microsoft Exceland its add-in PHSTAT) in statistical analysis anddecision-making; Develop the ability to obtain computer-generated statisticalresults Acquire the skills in the determination of appropriatestatistical treatments in various exercises Explain and apply the concepts involved in the estimationof one and two parameters. Explain and apply the principles and concepts involved intesting of hypothesis of one and two parameters1 Explain and apply the principles and concepts involved inchi-square goodness of fit tests and test for independence Compute and interpret the results of Analysis of Variance. Construct a simple linear regression model from sampledata and interpret the slope and y-intercept of the equation Examine the fit of the regression line to dataService-driven, ethical, and Instill the value of honesty in the presentation of statisticalsocially responsible citizensdata and evaluation of results. Develop the values of patience and perseverance in thecollection of sample data and in the tedious process ofgenerating statistical results Realize the significance of statistics in business decision-making of entrepreneurs and corporate managers and howstatistics can contribute to development Realize the impact of statistical research on theenvironment, and hence, the necessity of truth and validityin ones work as the researchers social responsibility; Understand the importance of undertaking the researchprocess with great care so as to ensure the validity andreliability of resultsFINAL COURSE OUTPUT:As evidence of attaining the above learning outcomes, the student is required to do and submit the following during the indicated dates of the term.LEARNING OUTCOMEREQUIRED OUTPUTDUE DATELO 1:Suggested group work: ATBAnewspaper article or clippingExplain the concepts involved in thewhere confidence intervalsestimation of one and two parameters.can be constructed from the Be familiar with the use of basic softwaredata presented(Microsoft Excel and its add-in PHSTAT)Homework and Computer Analyze and solve statistical problems andExercisesinterpret statistical resultsCase Study SolutionsQuizLO 2:Suggested group work: useTBA Explain the principles and conceptsbusiness data bases (costs,involved in testing of hypothesis of one andsales, revenues, etc)two parametersHomework and Computer Be familiar with the use of basic softwareExercises(Microsoft Excel and its add-in PHSTAT)Case Study Solutions Analyze and solve statistical problems andQuizinterpret statistical resultsLO 3:Suggested group work: use aTBAExplain and apply the principles andstock market data base toconcepts involved in chi-square goodnessdetermine whether there isof fit tests and test for independenceany difference in Composite Compute and interpret the results of one-Index and/or Stock Volumeway Analysis of Variance and the(as dependent variable) forCompletely Randomized Block Designdifferent parts of the month Be familiar with the use of basic software(independent variable with 3(Microsoft Excel and its add-in PHSTAT)levels: 10th, 20th, 30th) Analyze and solve statistical problems andHomework and Computerinterpret statistical resultsExercisesCase Study SolutionsQuizLO 4:Suggested group work:TBA Construct a simple linear regression modelDetermine if there is a strong2from sample data and interpret the slop and y-intercept of the equationExamine the fit of the regression line to dataBe familiar with the use of basic software (Microsoft Excel and its add-in PHSTAT)Analyze and solve statistical problems and interpret statistical results or weak relationship between and among business dataHomework and Computer ExercisesCase Study SolutionsQuizRUBRIC FOR ASSESSMENT of FINAL TERM GROUP PROJECT:CRITERIAEXEMPLARYSATISFACTORYDEVELOPINGRATING432 - 1Formulation ofResearch problem isResearch problem isResearch problem orthe Researchclearly defined and thejustified on the basis ofmanagement problemProblem (10%)need for research to solvea well-presentedor dilemma is vaguethe problem is mademanagement problemevident.CorrectAll of the statisticalSome of the statisticalThe statisticalApplication of theconcepts are appropriate,concepts applied areconcepts applied areStatisticalnecessary and sufficient.appropriate andinappropriate,Concepts (30%)They completely lead tonecessary. Theyunnecessary and dothe solution of thepartially lead to thenot lead to themanagement problemsolution of thesolution of themanagement problemmanagement problemDepth of AnalysisThe analysis convinces theThe analysis engages theThe analysis have(30%)reader about the wisdom ofreader to appreciate thelimited ideas that doconclusions, implicationswisdom of conclusions,not explain theand consequences on theimplications andwisdom ofbasis of statistical methodsconsequences on theconclusions,and findingsbasis of statisticalimplications andmethods and findingsconsequences on thebasis of statisticalmethods and findingsClarity andDevelops ideasDevelops unified andDevelops andOrganization ofrationally, organizescoherent ideas withinorganizes ideas inWritten Reportthem logically withparagraphs withparagraphs that are(20%)paragraphs and connectsgenerally adequatenot necessarilythem with effectivetransitions; clearconnected. Sometransitions. Clear andoverall organizationideas seem illogicalspecific introduction andrelating most ideasand/or unrelated.conclusion.together, goodintroduction andconclusionPresentation andThe writing isWhile there may beFrequent errors inFormat (10%)essentially error-free inminor errors, thespelling andterms of spelling andwriting followsgrammar distractgrammar. It uses thenormal conventions ofthe reader. It doesproper format andspelling and grammarnot use the properfollows the APA stylethroughout and hasformat and does notbeen carefullyfollow the APAproofread. It uses thestyleproper format andfollows the APA styleTOTAL:OTHER REQUIREMENTS AND ASSESSMENTS:Quizzes, seatwork, homework, submission of papers on statistical applications using computer software, final examination.3GRADING SYSTEM:Formative Assessments (at least 3 quizzes)50%4.096- 100CreativeAssessment1:Class Participation10%3.590 95.9assignments, seatwork, computer lab exercises3.084 89.9CreativeAssessment 2:Group Project-Research10%2.578 83.9Paper2.072 77.9Summative Assessment1:Departmental Final30%1.566 71.9Examination1.060 65.9TOTAL100%0.0< 60LEARNING PLAN:LEARNINGTOPICWEEK NO.LEARNINGOUTCOMEACTIVITIESIdentify the steps inI. Implementing1.5 hoursSimulation with argumentationthe Development ofGuidelines in theWeek 1on the formulation of logicalScientific HypothesesFormulation ofassumptions and/orEvidence-Basedand Formulatepresumption based onBusiness Decision,Decisions andestablished business data asand theConclusions based onempirical evidencesConstruction ofthe establishedNull HypothesisScientificallyimplementingDrawn ConclusionAlternative or Researchersguidelines andHypothesisstandards* conditions and limitationsbased on business variablesand sample marketrespondents= 1Ref.: Chapter 9Determine and createII. MakingSingle-Firm Analysis of Dataalternatives forMeaning of the3.0 hoursderived from individualdecision-making inUnknown BusinessWeeks 1 2company operations withData out of what iscases where there arereference to previous andKnown: Theunavailability ofcurrent business dataSingle-Casecertain business dataBusiness Data= 1Ref.: Chapters 9-10AnalysisBuild businessIII. Appraising the4.5 hoursAnalysis of Data derived fromdecisions derived fromMagnitude of theWeeks 2 3Two Independent Businessescomparative dataDifference andAnalysis of Data derived fromanalysisDetermining itsBusiness Interventions/TreatmentSubstance andAnalysis of Data derived fromSignificance: TheTwo Comparable BusinessesDouble-Case= 1Ref.: Chapters 10-11Business DataAnalysisDemonstrate ConceptualFormativeUnderstanding and1.5 hoursPen-Paper and Computer-Generated DataComputational FluencyAssessment #1Week 4AnalysisExamine businessDecisions Derived12.0 hours Multiple Comparison of Two orMore Business Data: Analysis ofvariables significantlyfrom the Degree ofWeeks 4 - 8Variance (ANOVA)affecting orDiscrepancies: TheVertical Analysis: Within FirmMultiple-Casecontributing toDataBusiness Datavariances in itsHorizontal Analysis: BetweenAnalysis4operations, andFirms Dataidentify significantlyinteracting variablesOne-Factor Analysis ofleading to bestBusiness Databusiness resultsFactorial Analysis of Dataderived from BusinessExperimentation with andwithout repeated measures= 1Ref.: Chapters 11-13Exhibit ConceptualFormativeUnderstanding and1.5 hoursBusiness Firm and Computer-GeneratedComputational FluencyAssessment #2Week 8Data AnalysisFormulate businessDetermining4.5 hours Analysis of Factors known to bedecisions based onSignificant FactorsWeeks 9 - 10significantly related to orestablish significantlyboth from theassociated with each other affectingrelated variablesInternal andbusiness operationsExternalinterval/ratio business variablesEnvironments ofcategorical/ordinal businessthe BusinessvariablesContributing to the* decision analysis on businessFirm-IndustryOperationsdemand and supply functions* market equilibrium point* cost-profit functions andbreak-even analysis= 1Ref.: Chapter 14Construct customizedDeveloping7.5 hours Analysis of Predictive ModelsBest-Fit to particular businessbusiness models neededBusiness ModelsWeeks 10 - 12profile and situations (scenario-for estimating and/orbased models)forecasting business-bivariate business factorrelated operationsanalysisrespective of certainmultivariate business factorconditions (time, market,analysisamount, degree ofcertainty, etc)* marginal and instantaneousrate of change* marginal analysis* consumer expenditureanalysis*Cost-minimization andrevenue-profit maximizationanalysis= 1Ref.: Chapter15-16Manifest ConceptualFormativeUnderstanding and1.5 hours Business Firm and Computer-Computational FluencyAssessment #3Week 13Generated Data AnalysisShowcase skills inBusiness Research Group-Independent Businessmanaging and1.5 hoursanalyzing researchand DataWeek 13Research PresentationManagementdata geared towardsIntegrationformulating valid andreliable businessdecisions based ongathered data asempirical evidencesFinal Examination2.0 hours /Week 145REFERENCES:1 Williams, T. A., Sweeney, D. J., & Anderson, D. R. (2012). Contemporary Business Statistics (4th ed., International ed.). Cincinnati, OH: South-Western/CENGAGE Learning.Anderson, D. R., Sweeney, D. J., Williams, T. A. (2003). Modern Business Statistics with Microsoft Excel. Cincinnati, OH: South-Western/Thomson Learning.Aczel, A. D., & Sounderpandian, J. (2002). Complete Business Statistics (5th ed.). Boston, MA: McGraw-Hill/Irwin. Berenson, M. L., Levine, D. M., Krehbiel, T. C. (2006). Basic Business Statistics: Concepts and Applications (10thed.). Upper Saddle River, NJ: Pearson/Prentice Hall.Bowerman, B. L., & OConnell, R. T. (2007). Business Statistics in Practice (4th ed.). Boston, MA: McGraw-Hill/Irwin.Evans, J. R., & Olson, D. L. (2000). Statistics, Data Analysis, and Decision Modeling. Upper Saddle River, NJ: Prentice-Hall.Keller, G., & Warrack, B. (2003). Statistics for Management and Economics (6th ed.). Pacific Grove, CA: Thomson/Brooks/Cole.Knight, K. (2000). Mathematical Statistics. Boca Raton, FL: Chapman & Hall.Lind, D. A., Marchal, W. G., Wathen, S. A. (2005). Statistical Techniques in Business & Economics (12th ed.). Boston, MA: McGraw-Hill Irwin.Mann, P. S. (2007). Introductory Statistics (6th ed.). Hoboken, NJ: Wiley.Taylor, S. (2007). Business Statistics for Non-mathematicians (2nd ed.). Basingstoke: Palgrave Macmillan.ONLINE RESOURCES:Business Statistics Book Companion Site: http://asw.swlearning.comCLASS POLICIES: The policies stated in this syllabus conform to that of the student handbook. The following reminders should guide students on classroom policies.Attendance will be checked. Student incurring absences of more than 20 percent of the total number contact hours may be dropped from the class roll. This rule applies even if the majority of the absences are excused. Any missed quiz due to absence or tardiness is the responsibility of the student. Students with extracurricular activities duly officiated by the school may be excused only for the attendance. They should be responsible for any missed quiz/exam or class activity.Homework should be turned in on time. Late homework is not accepted.Professionalism is expected of all students.Copying other peoples work with or without their consent is punishable as per the student handbook. Students caught plagiarizing other peoples work is considered cheating. Cheating is considered a serious academic offense.No make-up work would be given to any missed class activity without a duly authorized excuse letter/medical slip.Phones-off policy during classes. Phones or any other gadget must at least be put in silent mode. The use of these gadgets must not in any way interfere with classroom or any academic activity.Students caught cheating will be sent to the discipline office for necessary disciplinary action and shall automatically be given a grade of 0.0.Students cannot request for special projects in order to curve his/her grade. Scholars should be especially mindful of the required grade needed for scholarship retention.Peer review will be used in the grading system, particularly on the group term paper. There shall be no free-riding to group mates or class mates to any group-related activity.Papers (term papers, research papers and the like) require sources. For every 1000 word essay, there should be at least five academic sources. This requirement shall be strictly enforced so as to train students in academic research writing. The topics for the term paper should be developed early on the term and should conform to the UN PRME principles and declaration, of which DLSU is a signatory university. These can be gleamed through http://www.unprme.org/the-6-principles/index.php. The format of the paper will be announced early on by the lecturer. The term paper aims to elucidate students understanding of the application of statistical concepts discussed in the class. Papers will be graded based on the rubric stated in this syllabus.6