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UF STAT 6166 - Statistical Methods in Research I

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STAT 6166, Spring 2005,Statistical Methods in Research I1. Getting Started: Thinking about DataData Collection and Summarization 1.1-3.92. Statistical Inference: Scientific Conclusions from DataEstimation and Hypothesis Testing of a Mean 5.1-5.7Estimation and Hypothesis Testing of Two Means 6.1-6.65. Categorical Data AnalysisInference about Proportions 10.1-10.3STAT 6166, Spring 2005, Statistical Methods in Research I Room G186, McCarty A Mon-Fri 3rd Period (11:00-12:15) Instructor: Ramon C. Littell, Professor of Statistics 404 McCarty C 352-392-3040, [email protected] Office Hours: TA: Sebastian Armasu, [email protected] Course Objective: To train graduate students in the sciences in statistical concepts and methodology for research planning and data analysis Text: Ott and Longnecker, 2004. A First Course in Statistical Methods, Duxbury. Other Materials: Additional handouts will be posted to the class website. Web Site: Policies and Additional Information: 1. Office Hours. Period 1, 8:00 to 9:30 am on Tuesday and Thursday. Help outside these times is available by appointment. Call or email to schedule an appointment. 2. Lecture materials or other notes (interesting websites, pointers to recent interesting articles, etc.) will be available in pdf format on the IFAS Statistics. 3. The class website will be used to distribute additional information, handouts, etc. to everyone in class. Be sure your campus email address is current because you are accountable for any information we posted in this manner. 4. Instructor is not available for questions on exam materials starting the day before an exam.Homework and Exams: 1. There will be 10 homework assignments, which usually will be assigned on Mondays and Wednesdays. They are due for grading two days later on Wednesdays and Fridays. Each assignment is worth 10 points. 2. There will be three exams, on Fridays of the second, fourth and sixth week of class. Each exam in worth 100 points. 3. Grading: Grades will be based on the total of 400 points from homework and exams. 90-100% A 80-89% B 70-79% C 60-69% D 4. All Exams are closed book. You are encouraged to ask the proctors any questions regarding clarification or interpretation of exam questions but please do not ask about your answer. 5. Answers to the exams and homework will be provided as quickly as possible after the homework due date or after the exam. The answers will be posted to the website. 6. Missed Exams. If you must miss an exam, inform the instructor as soon as possible before the scheduled exam. It is unlikely a make-up exam will be offered except if the student cannot change the timing of the conflicting event. 7. Late homework will not be accepted and will be recorded as a 0 grade. If you are going to miss a class or have a scheduling conflict, submit the assignment before the due date! Some problems on each assignment will be collected and graded. Neatly written assignments usually put the grader in a better mood. Do not simply turn in computer printouts. 8. Please do not ask us to alter you grade on an exam on homework unless we made a calculation mistake (added the total wrong, or took points off a correct answer, etc). If you think this is what happened then you should provide the exam and a written explanation of the reason you believe we made a mistake to me within a day of the return of the exam. No verbal explanations will be accepted. Pre-requisites and Computing Requirements: 1. STA 6166 has a pre-requisite of one previous statistics course. But the course begins with introductory material and some students take it successfully as a first course. 2. You will need a computer for the home work assignments. Examples will be illustrated with Excel, SAS and JMP, but you may use any program you choose. Data sets for the exercises will be posted on the website as Excel, SAS and JMP files.Schedule Week TOPIC READING 1. Getting Started: Thinking about Data Data Collection and Summarization 1.1-3.9 Populations, samples, parameters, and statistics Probability distributions and graphical representations 4.1-4.10 Sampling and Sampling Distributions 4.11-4.13 2. Statistical Inference: Scientific Conclusions from Data Estimation and Hypothesis Testing of a Mean 5.1-5.7 Estimation and Hypothesis Testing of Two Means 6.1-6.6 Inference about Population Variances 7.1-7.4 3. Introduction to Analysis of Variance and Design of Experiments The One-Way Classification and CRD 8.1-8.2 ANOVA for One-Way Classification 8.3-8.4 4. More on ANOVA and DOE ANOVA Means Comparisons 8.6 Other Designs 9.1-9.4 5. Categorical Data Analysis Inference about Proportions 10.1-10.3 Contingency Tables 10.5 Odds and Odds Ratios 10.6 6. Introduction to Linear Regression Regression and Correlation 11.1-11.5 Concepts of multiple regression 12.1-12.5 Logistic Regression 12.6University Policies: Academic Dishonesty: All members of the University Community share the responsibility to challenge and make known acts of apparent academic dishonesty. Acts of academic dishonesty will not be tolerated and will be referred to the Student Honor Council. Information regarding University policies about academic dishonesty and the University’s honor code may be found at: Academic accommodations: If you have a documented disability and wish to discuss academic accommodations with me, please contact me as soon as possible. Information on Disability Resources can be found at

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