ࡱ> a 1bjbj** =%H=bH=b(f$ $ dt( _P4^!&! "OOOOOOO$SVPP"v!"!@""PP'''"O'"O''RI0Lx%0#K(O/P0_PKHV$~VPLLdVVMt""'"""""PPD&~"""_P""""V"""""""""$ B f:  STT203A Statistical Packages Prerequisite: STT201A Prerequisite to:  Instructor: ______________________ Consultation Hours: ______________ Contact details: _________________ Class Schedule and Room: ________ Course Description This is a course designed for Statistics/Mathematics majors, to familiarize students on the use of different statistical software (Microsoft Excel/PHSTAT/MegaStat, Statistica and SAS) for creating and managing databases, as well as, conducting simple statistical data analyses.  Learning OutcomesOn completion of this course, the student is expected to present the following learning outcomes in line with the Expected Lasallian Graduate Attributes (ELGA) and the outcomes prescribed by the CHED Memorandum Order for the BS Mathematics program. ELGA Learning Outcome Program Outcome Critical and Creative Thinker Effective Communicator Lifelong Learner At the end of the course, the student will 1 2 3 4 5 6 7 8 apply appropriate statistical concepts and processes using different statistical software in solving various conceptual and real-world problems. ( ( ( ( (  Program Outcomes (BS Mathematics)A graduate of the program should be able to Apply analytical, critical and problem solving skills using the scientific method.Carry out basic mathematical and/or statistical computations and use appropriate technologies in the analysis of data, and in pattern recognition, generalization, abstraction, critical analysis, and problem solving.Gain mastery in the core areas of mathematics: algebra, analysis and geometryDemonstrate skills in pattern recognition, generalization, abstraction, critical analysis, problem-solving and rigorous argument.Develop an enhanced perception of the vitality and importance of mathematics in the modern world, including the interrelationships within mathematics and its connection to other disciplinesAppreciate the concept and role of proof and reasoning and demonstrate knowledge in reading and writing mathematical proofs.Make and evaluate mathematical conjectures and arguments and validate their own mathematical thinkingCommunicate mathematical ideas orally and in writing using clear and precise language Final Course OutputAs evidence of attaining the above learning outcomes, the student is required to submit the following during the indicated dates of the term. Learning Outcome Required Output Due Date At the end of the course, the student will apply appropriate statistical concepts and processes using different statistical software in solving various conceptual and real-world problems. An inquiry-based group project highlighting the use of different statistical software in managing and analyzing data in different real-life situations Week 13  Rubric for assessmentCRITERIA EXEMPLARY 4 SATISFACTORY 3 DEVELOPING 2 BEGINNING 1 Formulation of the Research Problem and Objectives (10%) Research problem and objectives are clearly defined and significant; demonstrates evidence that the research problem was researched and designed well. Research problem and objectives are clearly defined and significant. Research problem is clearly defined but some objectives are insignificant. Research problem and objectives are vague and insignificant. Correct Application of the Statistical Concepts (25%) Statistical analyses are appropriate with correct interpretations and relevant conclusions. Statistical analyses are appropriate with correct interpretations. Some statistical analyses are inappropriate. Statistical analyses are inappropriate. In-Depth Use of Statistical Software (40%) Appropriate data analyses using at least three different statistical software were conducted. Applications of statistical software are well-explained leading the readers to appreciate computer technology in managing and analyzing large databases. Appropriate data analyses using at least 3 different statistical software were conducted Data analyses have limited applications of statistical software. Data analyses have incorrect applications statistical software. Clarity and Organization of Written Report (10%) Written report is organized logically and presented clearly with effective transitions. Written report is organized logically and presented clearly. Written report is organized and some discussions are not clear. Written report is not organized. Oral Presentation (15%) Overall presentation is creative and well organized with innovative ideas. Overall presentation is creative and well organized. Overall presentation is organized. Overall presentation is not organized.  Additional RequirementsAside from the final output, the student will be assessed at other times during the term by the following: Quizzes Class Participation (seatwork and group exercises, homework, recitation) Computer hands-on exercises using SAS Final Examination Grading System FOR STUDENTS with FINAL EXAM with no missed quiz With one missed quiz Average of quizzes 60% 50% Class Participation and Lab Exercises 10% 10% Final exam 30% 40% Scale: 95-100% 4.0 89-94% 3.5 83-88% 3.0 78-82% 2.5 72-77% 2.0 66-71% 1.5 60-65% 1.0 <60% 0.0 Learning PlanLEARNING OUTCOME TOPIC WEEK NO. LEARNING ACTIVITIES At the end of the course, the student will apply appropriate statistical concepts and processes using different statistical software in solving various conceptual and real-world problems. 1. MICROSOFT EXCEL (PhStat2) Introduction to Microsoft Excel / PHSTAT/MegaStat Data management Generation of Graphs Basic statistical analysis 9 hours / Weeks 1-3 Prior knowledge and beliefs survey Concept mapping Library work Group discussion and presentations Computer laboratory activities Skills exercises Student self-assessment and reflection Quiz 1 1.5 hours / Week 3 2. STATISTICA 2.1 Introduction to Statistica 2.2 Data management 2.3 Tabular and graphical presentation of data 2.4 Descriptive statistics 2.5 Basic Statistical Analysis 12 hours / Weeks 4-7 Quiz 2 hours / Week 8 3. SAS Introduction to SAS Data Management 3.3 Tabular and graphical presentation of data 3.4 Descriptive statistics 3.5 Basic Statistical Analyses 13.5 hours / Weeks 9-12 Quiz 3 1.5 hours / Week 13 Learning Output 3 hours / Week 14  *Skills exercises/computer laboratory activities are given weekly and the students are expected to work on the solutions for their fourth hour activity. At the end of the term, the solutions to the problems will be compiled and submitted as one of the course outputs. ReferencesArcilla, R., Co, F., Ocampo, S. & Trevalles, R. (2012). Statistical Literacy for Lifelong Learning. Manila: ABIVA Publishing House, Inc Delwiche, Lora D. Slaughter, and Susan J (2003) The Little SAS Book: A Primer (3rdEdition). SAS Publishing Walpole, et al. (2007), Probability and Statistics for Engineers and Science (7th Edition) Singapore: Pearson Education (Asia) Online ResourcesNational Statistic Office. Accessed October 15, 2012 from: HYPERLINK "http://www.census.gov.ph/"http://www.census.gov.ph/ Math Goodies. Accessed October 15, 2012 from: HYPERLINK "http://www/mathgoodies.com"http://www/mathgoodies.com HYPERLINK "http://www.ruf.rice.edu~lane/statsim/samplingdist/"http://www.ruf.rice.edu~lane/statsim/samplingdist/ Big Data Analytics, Enterprise Analytics, Data Mining Software, Statistical Analysis, Predictive Analtyics. Accessed October 15, 2012 from:HYPERLINK "http://www/statsoft.com"http://www/statsoft.com Shodor: a National Resource for Computational Science Education. Accessed October 15, 2012 fom: HYPERLINK "http://www.shodor.org"http://www.shodor.org  Class PoliciesThe required minimum number of quizzes for a 3-unit course is 3, and 4 for 4-unit course. No part of the final exam may be considered as one quiz. Cancellation of the lowest quiz is not allowed even if the number of quizzes exceeds the required minimum number of quizzes. As a general policy, no special or make-up tests for missed exams other than the final examination will be given. However, a faculty member may give special exams for approved absences (where the student concerned officially represented the University at some function or activity). absences due to serious illness which require hospitalization, death in the family and other reasons which the faculty member deems meritorious. If a student missed two (2) examinations, then he/she will be required to take a make up for the second missed examination. If the student has no valid reason for missing an exam (for example, the student was not prepared to take the exam) then the student receives 0% for the missed quiz. Students who get at least 89% in every quiz are exempted from taking the final examination. Their final grade will be based on the average of their quizzes and other prefinal course requirements. The final grade of exempted students who opt to take the final examination will be based on the prescribed computation of final grades inclusive of a final examination. Students who missed and/or took any special/make-up quiz will not be eligible for exemption. Learning outputs are required and not optional to pass the course. Mobile phones and other forms of communication devices should be on silent mode or turned off during class. Students are expected to be attentive and exhibit the behavior of a mature and responsible individual during class. They are also expected to come to class on time and prepared. Sleeping, bringing in food and drinks, and wearing a cap and sunglasses in class are not allowed. Students who wish to go to the washroom must politely ask permission and, if given such, they should be back in class within 5 minutes. Only one student at a time may be allowed to leave the classroom for this purpose. 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