Milner, Kelsey S.

English

University of Montana

University of Montana ScholarWorks at University of Montana Syllabi Course Syllabi Fall 9-1-2000 FOR 201.01: Forest Biometrics Kelsey S. Milner The University of Montana Follow this and additional works at: https://scholarworks.umt.edu/syllabi Let us know how access to this document benefits you. Recommended Citation Milner, Kelsey S., "FOR 201.01: Forest Biometrics" (2000). Syllabi. 5066. https://scholarworks.umt.edu/syllabi/5066 This Syllabus is brought to you for free and open access by the Course Syllabi at ScholarWorks at University of Montana. It has been accepted for inclusion in Syllabi by an authorized administrator of ScholarWorks at University of Montana. For more information, please contact scholarworks@mso.umt.edu. lUl i lnerBIOMETRICS SYLLABUSCOURSE: F201SEMESTER: Fall 2000Time LocationLECTURE: M W F 9:10 AM - 10:00 AM FOR 206LAB: Section 1Section 2Section 3Section 4Mon 2:10-4:00 PMWed 2:10-4:00 PMTue 2:10 -4:00 PMThu 2:10-4:00 PMJOUR 106JOUR 106JOUR 106JOUR 106OBJECTIVES:1. Become familiar with mathematical notation.2. Be exposed to statistical reasoning and the rigor associated with it.3. Acquaint yourself with basic statistical methods used most frequently in natural resource management.4. Gain an appreciation for natural variation and its impact on data analysis.5. Gain an understanding about the appropriateness of certain procedures over others in specific situations.6. Solve specific statistical problems.7. Use SPSS to perform statistical analyses on computers.GUIDELINES:The subject matter covered in this course is not difficult provided that the student possesses good algebra and problem solving skills and spends the time studying the material. You will need to become comfortable with abstract thinking, jargon and symbology. Should you find yourself falling behind seek help immediately. Do not wait till the end of the course because concepts are presented sequentially and build upon each other.Although collaboration with fellow students for the purpose of solving homework problems is encouraged, you must remember that exams are taken singly by each student and you are solely responsible for learning and knowing the course content. Mid-term exams tend to focus on a section of material while the final exams (lecture and lab) are comprehensive. Homework assignments are due one week from when they are handed out (unless you are told otherwise) and late assignments are penalized at the rate of 5 points per day unless you make prior arrangements.Two of the labs will take place outside, one on campus and another up Pattee Canyon1GRADING:Points Percent Lab assignments (approx. 12 @ 20 pts.) 240 40%Mid-term Exams (2 @ 100 pts.) 200 33%Final Lab Exam 60 10%Final Examination 100 17%TOTAL 600 100%INSTRUCTOR:Name: Kelsey MilnerOffice: Forestry 212Hours: By appointmentPhone: 243-6653 (Office)E-mail: kelsey@forestry.umt.eduTA (Teaching/Lab assistant):Name: Kate KellerOffice: FORHours:     or by appointmentPhone: __________________________E-mail:REQUIRED TEXTS:Johnson, R.A and G.K. Bhattacharyya. 1996.Statistics:Principles and Methods. 3rd Edn. John Wiley & Sons, Inc. 720 p. (ISBN: 0-471-04194-7)Zuuring, H.R. 1999. Biometrics Notes. School of Forestry, The Univ. of Montana. 70TOPICS COVERED:Overview:• Statistical terms, notation, symbols, definitions Chpt. 1• Scientific Method• Computer/calculator literacy - terms and usesData Collection/Management:• Sampling design, rule, unit, sample size a Observation/Measurement/Instruments a Measurement scalesa Organizing/summarizing dataData Analysis:Some Basics:0 Graphical Data Analyses Chpt. 2, Sec 30 Analytical Data Analyses0 Descriptive statistics - measures of center & variation Chpt. 2, Sec 4 - 50 Linear correlation Chpt. 3, Sec 50 Probability Chpt. 40 Normal Distribution Chpt. 60 Central Limit Theorem Chpt. 7, Sec 30 Student's t Distribution Chpt. 9, Sec 20 Confidence Intervals Chpt. 8, Sec 33Hypothesis testing:® General Concepts Chpt. 8, Sec 4• Tests about means:• Z- and t-tests® 1- and 2-sample tests Chpt. 10, Sec 2 e Paired and unpaired data Chpt. 10, Sec 4© F-test for variances• Binomial Distribution Chpt. 5, Sec 6 © Z-test for proportions Chpt. 10, Sec 6Experimental design:© General Concepts © Test for homogeneity of variance1• One-way analysis of variance (ANOVA) - CRD Chpt. 14, Sec 3 • Two-way ANOVA - RBD Chpt. 14, Sec 6• Factorials• Crossed versus Nested designs1© Multiple Comparison procedures• Chi-square tests Chpt. 13, Sec 1 -4Regression:• General Concepts Chpt. 11, Sec 1 - 3 • Method of Least Squares Chpt. 11, Sec 4 • Summary statistics Chpt. 11, Sec 5 -61 optional topics to be covered if time permits!Note: SPSS, a microcomputer-based statistical package, will be used to solve problems associated with the above topics.

FOR 201.01: Forest Biometrics

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FOR 201.01: Forest Biometrics

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