# Statistics and Measurements I (3 Credits) FOR College of Agriculture, Food and Environment Department of Forestry

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1 Statistics and Measurements I (3 Credits) FOR College of Agriculture, Food and Environment Department of Forestry Times: Lecture: MW 10:00 10:50 am (TPC 113) Lab: Thursday 1:00 3:00 pm (TPC 212) Instructor: Dr. Darryl W. Cremeans Office Phone: Office Address: 121A T.P. Cooper Building Office hours: Daily 9:00 AM 10:00 AM or by appointment Course Website: Course Description: This course covers the application of statistical concepts, computations, and software to forestry sampling and inventory problems. Land, individual tree and timber stand measurement techniques will be covered as will the design and implementation of sampling systems to derive information necessary to meet landowner objectives. Prerequisites: None Student Learning Outcomes: After completing this course, the student will be able to: 1. Define statistical concepts and population distributions. 2. Calculate statistical descriptors for a dataset (manually and via software). 3. Understand how variability affects the necessary sampling density to accurately describe a population. 4. Apply stratification techniques to best collect representative samples. 5. Analyze sample populations to infer if populations differ. 6. Utilize hypothesis testing to determine if samples adhere to expectations. 7. Measure tree parameters using forestry tools and methods. 8. Conduct forest inventories using multiple sampling designs. 9. Summarize forest inventory data using software tools. Required Materials: Textbook: none required Recommended T.E. Avery & H.E. Burkhart Forest Measurements. 5th edition. McGraw-Hill. Course Assignments 3 Exams at 15% each All graded homework will total to 20% of the course grade All lab work will total to 20% of the course grade 1 timber inventory project at 15%

3 Course Policies: Attendance Policy: Students will get the maximum return from this course if they attend all lecture and lab sessions thus it is highly recommended. That said, lecture attendance is not taken or graded. Some testable material is only presented in the lecture and may not be contained in the PowerPoint files, thus grades are consistently better for those students who attend class regularly. Lab attendance will be graded if no assignment is associated with that field session. Since we often work in teams, a missing member can cause the team to not be able to finish the exercise in the lab time allotted. Missed field work will have to be made up on the student s own time for credit. Excused Absences: Students need to notify the professor of absences prior to class when possible. S.R defines the following as acceptable reasons for excused absences: (a) serious illness, (b) illness or death of family member, (c) University-related trips, (d) major religious holidays, and (e) other circumstances found to fit reasonable cause for nonattendance by the professor. Students anticipating an absence for a major religious holiday are responsible for notifying the instructor in writing of anticipated absences due to their observance of such holidays no later than the last day in the semester to add a class. Information regarding dates of major religious holidays may be obtained through the religious liaison, Mr. Jake Karnes ( ). Students are expected to withdraw from the class if more than 20% of the classes scheduled for the semester are missed (excused or unexcused) per university policy. Make-up opportunities: Late homework, make-up quizzes and exams will only be given with an excused absence (S.R ). It is the student s responsibility to inform the instructor of the absence, preferably in advance, but no later than one week after the absence. The instructor will make every effort to accommodate the needs for make-up work for students with a valid excuse. Verification of Absences: Students may be asked to verify their absences in order for them to be considered excused. Senate Rule states that faculty have the right to request appropriate verification when students claim an excused absence because of illness or death in the family. Appropriate notification of absences due to university-related trips is required prior to the absence. Submission of Assignments: Homework assignments are due at the beginning of the class one week after they are assigned, unless otherwise noted. Late homework may not be accepted for a grade.

6 Tentative Course Schedule DATE (Fall 2015) TOPIC HOMEWORK or Exam Wednesday, August 26 intro/syllabus Thursday, August 27 no lab this week Monday, August 31 Labor Day no lecture Wednesday, September 2 Compass, Pacing and GPS Thursday, September 3 Compass, Pacing and GPS Monday, September 7 Measuring Tree Diameters Wednesday, September 9 Continued and Timber Marking Thursday, September 10 Measuring Tree Diameters Monday, September 14 Measuring Tree Heights Wednesday, September 16 continued Thursday, September 17 Measuring Tree Heights Monday, September 21 Tree Defects and quality Wednesday, September 23 Volume Determination Thursday, September 24 Cull Deduction and Tree Grading Monday, September 28 Data Recording and Establishing Plots Wednesday, September 30 Exam 1 Exam 1 Thursday, October 1 Crown Diameter Monday, October 5 Fixed Plot Cruising part 1 Wednesday, October 7 Fixed Plot Cruising part 2 Thursday, October 8 Fixed Plot Cruise Monday, October 12 Variable Point Cruising part 1 Wednesday, October 14 Variable Point Cruising part 2 Thursday, October 15 Variable Point Cruise Monday, October 19 Cruise summaries and calculations Wednesday, October 21 Nontimber resource Notation Thursday, October 22 Cruise makeup lab Monday, October 26 Stand Valuation Wednesday, October 28 Site Index and Stocking Thursday, October 29 Site Index Monday, November 2 Stand Density Wednesday, November 4 Log Rules Thursday, November 5 Stocking and Stand Density Monday, November 9 Timber Prescriptions Wednesday, November 11 Exam 2 Exam 2 Thursday, November 12 TBA Inventory Project Due Monday, November 16 Introduction to Statistics Wednesday, November 18 Notation Thursday, November 19 Lab Make-up day Monday, November 23 Population Homework 1 assigned Wednesday, November 25 Thanksgiving holiday no lecture Thursday, November 26 Thanksgiving Holiday no lab Monday, November 30 Sampling Homework 1 due Wednesday, December 2 Variability Homework 2 assigned Thursday, December 3 Lab Make-up day Monday, December 7 Frequency & Distribution Wednesday, December 9 Stratification Homework 2 due Thursday, December 10 Review Finals Week Final 1:00 PM

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