Department of Mathematics and Physics College of Arts and Sciences University of Qatar Course Syllabus Components STAT 499: Graduation Project in Statistics By Adil Yousif, Ph. D. Spring 2010 Graduation Project in Statistics Adil Yousif 2009/2010 Academic Year Course Information Course Name: Graduation Project in Statistics Course Number: STAT 499 Credit Hours: 3 Credit hrs Prerequisites: None. Required Textbook: None Faculty Information Name: Adil Yousif, Ph. D. Program: Statistics Telephone: 4852163 E- Mail: aeyousif@qu.edu.qa Website: http://faculty.qu.edu.qa/ayousif/ Office Number: 207E (corridor 5) Office Hours: 9:00 -10:00. (Sun, Tues., & Thurs) or by appointment Course Description This project is a final project in which graduating students demonstrate their ability to design questionnaires, conduct surveys and/or retrieve information from the internet, analyze the collected data using various techniques, interpret the results, present what they have accomplished to an audience in a concise manner and reflect on their experience. The Graduation Project provides students the opportunity to relate content knowledge and acquired skills to real world situations and issues. Estimation of means, proportion and variances, Point estimation, Confidence intervals, Sample size determination. Testing Hypothesis: Testing hypothesis for single population (mean, proportion, and variance). Two populations (means, proportions, and variances) Using SPSS software for organization and analysis of data and writing reports of the output. Graduation Project in Statistics Adil Yousif Course Objectives 1- Allowing graduating students demonstrate their ability to design questionnaires, conduct surveys and/or retrieve information from the internet 2- Analyze the collected data using various techniques 3- Giving the student a firm background on how to interpret the results 4- Training the student on how to present what they have accomplished to an audience in a concise manner and reflect on their experience. Student Learning Outcomes Formulate a data analysis problem in a statistical framework. Use at least one statistical software package to analyze data. Use a variety of methods for exploring, summarizing and presenting data. Apply statistical models and methods to solve practical problems. Interpret the results of a statistical analysis. Comment critically on choices of model and method of analysis. Communicate the results of statistical investigations and data analyses, using a form, structure and style that suit the purpose. . Content Distribution This is an interactive course with topics changes from a project to another. However, the main steps in any project are; 1- Specification of the problem with sufficient background 2- Reporting of data collection techniques and the main variables in the data set. 3- Producing some descriptive statistics to get a clear picture of the data 4- Conducting the statistical analysis appropriate for the problem under study 5- Explain the results of the study 6- State the final conclusions Delivery Methods Course Syllabus Components -2- Academic Year 2009/2010 Graduation Project in Statistics Adil Yousif Interactive personal meeting . Small group (two students) to emphasize learning from and with others (pears education philosophy). Visiting of local Qatari corporations that can be source of data for the project Students should visit the Blackboard (Bb) on regular bases for more instructions and materials. (assignment will be displayed on Bb only) Learning Resources and Media The primarily resources for this course are: All major course in Statistics program The meeting notes and materials collected from data sources Material displayed in published journal or web sites References used for previous courses. Assessment Policy and Tools - Written report: 60% (Supervisor). Oral presentation: 20% (Supervisor) and 20% (Examiner). Important Dates: First draft should be submitted by December 15, 2009 Complete thesis should be submitted by January 2010 Presentation will be held on Thursday January 21, 2010 Matrix of Objectives and Outcomes OBJECTIVES 1- Allowing graduating students demonstrate their ability to design questionnaires, conduct surveys and/or retrieve information from the interne. Analyze the collected data using various techniques 2- . 2- Giving practice in analyzing real world problems and interpret the results. Course Syllabus Components LEARNING OUTCOMES Formulate a data analysis problem in a statistical framework Assessment Tools Through Survey and data Collection Use MINITAB and SPSS to implement decomposition methods Interpretation of software output Conduct real life studies involving time series data (preferring data set Case studies Course project -3- Academic Year 2009/2010 Graduation Project in Statistics Adil Yousif from Qatar 5- Giving the student a firm background on how to interpret the results Produce and interpret the computer output of various packages for the time series analysis. Training the student on how to present what they have accomplished to an audience in a concise manner and reflect on their experience Explain the theoretical basis of the methods used in the data Analysis Final Presentation Thesis Rubric Total Score (60) CATEGORY Organization Information is very organized with well-constructed paragraphs and subheadings. 4 Information is organized with well-constructed paragraphs. 2 Information is organized, but paragraphs are not well-constructed. Amount of Information All topics are addressed and all questions answered with at least 2 sentences about each. All topics are addressed and most questions answered with at least 2 sentences about each. All topics are addressed, and most questions answered with 1 sentence about each. One or more topics were not addressed. Mechanics No grammatical, spelling or punctuation errors. Almost no grammatical, spelling or punctuation errors A few grammatical spelling or punctuation errors. Many grammatical, spelling, or punctuation errors. Diagrams & Illustrations Diagrams and illustrations are neat, accurate and add to the reader's understanding of the topic. Diagrams and illustrations are accurate and add to the reader's understanding of the topic. Diagrams and illustrations are neat and accurate and sometimes add to the reader's understanding of the topic. Diagrams and illustrations are not accurate OR do not add to the reader's understanding of the topic. Course Syllabus Components 3 -4- 1 The information appears to be disorganized. 8) Academic Year 2009/2010 Graduation Project in Statistics Adil Yousif . Learning Activities and Tasks Students should be held responsible for their own ongoing learning process such as: weekly meetings, Collecting data, Analyzing data and writing the report, Presentation Regulations All students are expected to turn in work that is their own. Any attempt to pass off another's work as your own will constitute an "F" in the entire course. Using part of, or the entire work, prepared by another or turning in a homework assignment prepared by another student or party are examples of plagiarism. You will be expected to do your share of the work. If you use someone else's words or ideas, you must cite your sources. References and Additional Resources All references used in previous courses Course Syllabus Components -5- Academic Year 2009/2010