Activities

These are the hands-on activities and lab materials for the course. Click a card to view the instructions and datasets.

02 Class Activity
Note that in the upper right you will see 2025_UMD_BioStats_Student_Code so you know you are in the right spot
Bill Perry

03_Class_Activity
Implement data pipeline best practices
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04_Class_Activity
More graphs…
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05_Class_Activity
In our previous activity, we:
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06_Class_Activity
Before conducting hypothesis tests, we should always explore our data to understand its characteristics.
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07_Class_Activity
This document demonstrates statistical analysis of lake trout mass data from Island Lake and NE 12, focusing on:
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08_Class_Activity
This activity demonstrates key concepts in experimental design using a made up fish example:
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How an ANOVA IS A REGRESSION WIHT DUMMY VARIABLES
This document demonstrates how Analysis of Variance (ANOVA) is mathematically equivalent to a regression model with dummy variables using an example with R code and…
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In class activity 1:
why do we need to randomize sampling?

Lecture 09 - Class Activity - Correlation Linear Regression
This document demonstrates key concepts in correlation and regression analysis using ecological examples, focusing on:
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Lecture 10 - Class Activity: Multiple Regression
Based on Michaletz et al. (2014) data
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Lecture 11 - ANOVA in class
ANOVA has the same assumptions as the two-sample t-test, but applied to all k groups:
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Lecture 12 - Factorial ANOVA of Penguin Mass
The set up and data overview
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Lecture 13 - Class Activity Multifactor ANOVA
In this experimental design, patch is nested within treat because each patch received only one treatment level. This is a hierarchical design where the effect of patches…
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Lecture 14 - Generalized Linear Models Activity
The simplest form of GLM uses a normal (Gaussian) distribution with an identity link function. This is equivalent to standard ANOVA
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Lecture 15 - Class Activity ANCOVA
Always test for homogeneity of slopes before proceeding with ANCOVA. If slopes differ significantly between groups, standard ANCOVA is inappropriate.
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Lecture 16 - Class Activity MANOVA 
# Load required packages
library(car)          # For ANOVA tests
library(emmeans)      # For estimated marginal means
library(psych)
library(vegan)
library(ggfortify)
library…
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Lecture 17 - Class Activity PCA
PCA (Principal Component Analysis) is a technique to: - Reduce the number of variables in your dataset - Find patterns in high-dimensional data - Create new uncorrelated…
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Lecture 18 - Class Activity: NMDS and PERMANOVA
NMDS (Non-metric Multidimensional Scaling) is an ordination technique that: - Visualizes dissimilarity between objects in reduced dimensions - Preserves rank order of…
Bill Perry
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