# Course Topics

Key:
Unstudied, Topics yet to be studied.
~ Current, Topics currently being studied in the class.
✔ Completed, Topics that have been completed and tested.
☆ Reference, Reference material for the class.

Canvas Class Page (Resource)
University of Missouri Blackboard site.
Assignments (Resource)
A list of assignments and the due dates.
Introduction (Overview) (Lecture)
Outline of the class structure and resources.
References (Reference)
List of the class resources that cover this material in greater depth.
The use of spreadsheets in this class.
Video (Video)
Class videos
Homework (Homework) (Demo)
Class Homework

## Section 1 (General Topics)

Samples and Populations (Sampling) (Lecture)
Defining what a sample and a population
Randomness (Sampling) (Lecture)
What is Random?
Questions (Sampling) (Lecture)
Defining what we are going to study.
Data Types (Analysis) (Lecture)
Why not all numbers are equal?
How to make a table (Presentation) (Lecture)
How to properly format for a table?
How to make a figure (Presentation) (Lecture)
How to properly format for a figure?
How to make a memo (Presentation)
How to properly format for a memo?
How to make a report (Presentation)
How to properly format for a report?
Citing Information Resources (Presentation)
How do you reference others work.

## Section 2 (Statistical Review)

Distributions (Sampling)
Data distributions.
Measures of Central Tendency (Analysis) (Lecture) (Demo)
What is the center of your distribution.
Weighted means (Analysis) (Lecture) (Demo)
How to calculate a weighted mean.
Measures of Dispersion (Analysis) (Lecture) (Demo)
Histograms (Presentation) (Lecture) (Demo)
How to create a histogram.
Accuracy and Precision (Analysis) (Lecture)
Defining Accuracy and Precision in distributions.
Types of Error (Analysis) (Lecture)
Defining of errors in testing.
Confidence interval for single sample mean (Analysis) (Lecture) (Demo)
A single sample confidence interval.
Confidence interval for 2 sample means (Analysis) (Lecture)
A two sample confidence interval.
Scatter Graph (Presentation) (Lecture)
How to create a scatter graph.

## Section 3 (Sampling General)

Sampling Probability (Sampling) (Lecture)
When sampling the probability of selecting an individual is different by the sampling method.
Random Sampling (Sampling) (Lecture)
How to take random samples.
Systematic Sampling (Sampling)
How to take systematic samples.
Stratified Sampling (Sampling) (Lecture)
How to take stratified samples.
Expansion Factors (Sampling) (Lecture)
How to report your plot densities in standard units.
Sample Size Determination (Sampling) (Lecture) (Demo)
How many samples should you take.
Sequential Sampling (Sampling) (Lecture)
How to determine the sample size as you are sampling.

## Section 4 (Statistical Testing)

Standard Distributions - F distribution (Analysis) (table)
F Distributions.
Standard Distributions - t distribution (Analysis) (table)
t Distributions.
Data Analysis Tookpak (Excel) (Demo)
Statistical tools
Differences between two samples variances (Analysis) (Lecture)
Do two distributions have the same variance?
Differences between two samples with similar variance (Analysis) (Lecture)
Do two distributions having the same variance differ in means?
Differences between two samples with different variance (Analysis) (Lecture)
Do two distributions having the different variance differ in means?
Determining the results of a statistical test (Analysis) (Lecture)
Do to we interpert a statistical test result?
Analysis of Variance (ANOVA) (Analysis) (Lecture) (Demo)
When should we use ANOVA and why?
Simple Linear Regression (Analysis) (Lecture) (Demo)
How do we define a trend between two variables?

## Section 5 (Diversity Measures and Spatial Statistics)

Richness and Evenness (Analysis) (Lecture)
What are the components of statistical diversity?
Simpson's index (Analysis) (Lecture) (Demo)
How do you calulate and interpert Simpson's index?
Shannon Diversity Index (Analysis) (Lecture) (Demo)
How do you calulate and interpert Shannon Diversity Index?
Diversity Background (Analysis)
Information of the people behind these equations
Hopkin's index (Analysis) (Lecture) (Demo)
How do you calulate and interpert a simple nearest neighbor spatial index?
Holgate's Index (Analysis) (Lecture)
How do you calulate and interpert a simple nearest neighbor spatial index?

## Section 6 (Animal Sampling)

Peterson's Mark and Recapture (Sampling) (Lecture) (Demo)
How do you calulate and interpert a simple mark and recapture?
Schnabel's Mark and Recapture (Sampling) (Lecture)
How to implement mark and recapture with 3 or more samples?
Jolly-Seber Mark and Recapture (Sampling) (Lecture)
How do implement mark and recapture with open populations?
Hayne Line Transect Estimator (Sampling) (Lecture)
How do estimate density of flushing amimals along a line transect.

## Section 7 (Plant Sampling)

Herbaceous Samples (Sampling)
How do estimate density of herbaceous plants?
Tree Diameter Measurement (Measurements) (Lecture)
How do measure a tree diameter with a caliper?
Tree Diameter Measurement (Measurements) (Lecture)
How do measure a tree diameter diameter-tape?
Tree height measurement (Measurements) (Lecture) (Web Demo)
How do measure tree heights?
Basal Area (Measurement) (Lecture)
How do estimate basal area?
Site Index estimation (Analysis) (Lecture)
How do estimate site index?
Fixed unit sampling (Sampling) (Lecture) (Demo)
How to conduct a Probability Proportional to Frequency (PPF) sample.
Variable Point Sampling (Sampling) (Lecture) (Demo)
How to conduct a Probability Proportional to Size (PPS) sample.
BAF conversion values (Sampling) (Lecture)
How to convert from imperial BAF factors to metic BAF factors.
Comparing a fixed unit sample to a variable point sample (Sampling) (Lecture)
How do these to major sampling methods compare.

## Section 8 (Stand Stocking)

Gingrich Diagram (Analysis) (Lecture)
Diagram to aid forest management.
Reineke Diagram (Analysis) (Lecture)
Diagram to aid forest management.
Maximum Stand Density Index (Analysis) (Lecture)
How to calculate stand density index and a list of maximums by species.

## Section 9 (Volume and Biomass)

Log Volume estimation (Analysis) (Lecture) (Demo)
How to calculate log volume.
Tree Volume estimation (Analysis) (Lecture)
How to calculate tree volume.
Tree Biomass and Carbon estimation (Analysis)
How to calculate biomass and carbon content.
Course Woody Debris estimation (Analysis) (Lecture)
How to estimate the amount of course woody debris.

## Section 10 (Introduction to VBS Programming)

Introduction to Programming VBS (Data Processing) (Demo)
How to write your first function in Excel VBS.
Mean Function (Data Processing) (Demo)
How to write a mean function.
Quadratic Mean Function (Data Processing) (Demo)
How to write a quadratic mean function
Simpson's Index of Diversity function (Data Processing) (Demo)
How to write a Simpson's index of diversity function
Shannon's Index of Diversity function (Data Processing) (Demo)
How to write a Shannon's Index of Diversity function
Tree Volume function (Data Processing) (Demo)
How to wrtie a function to calculate tree volume.