Course Objectives

Important University Policies

Class Time and Place

Prerequisites

Blackboard

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This page is the general description of the course and suggested expectations for both the student and the expectations of the teacher.

Examples

General Sampling

Defining Questions and Problem Solving

Using Information Resources

Data Types

Sample Size Determination

Methods of organizing samples

Sampling Probability.

Sequential Sampling

General Analysis

Measures of Central Tendency

Measures of Dispersion

Accuracy and Precision in sampling

Histograms - What are they, how to create one and the effect of bin width.

Confidence intervals for population means

Testing for differences between two samples

Analysis of Variance

Simple Linear Regression

Measures of Diversity

• Richness, Evenness,
• Simpson's Index,
• Shannon-Wiener Function.

Animal Sampling

Mark and Recapture Methods
• Petersen's,
• Schnabel,
• Jolly-Seber,
• Test of Equal Catchability.
Line Transect Methods
• Haynes Estimator

Plant Sampling

Herbaceous Quadrats

Fixed area plots - Layout and the concept of expansion factors

Point sampling - Angle gauges, method to calculate expansion factors.

Basal Area - Concept and estimation from diameter and point sampling counts

Stand Stocking -

Tree Volume estimation

Site Index estimation

Writing Topics

Memo writing

Report writing