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Biostatistics using R: A Laboratory Manual
23 Dec 2020 | Teaching Materials | Contributor(s):
By Raisa Hernández-Pacheco1, Alexis A Diaz1
California State University-Long Beach
Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language to...
Chapter 11: Correlation and regression analyses
Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
Chapter 10: Two-way analysis of variance
Chapter 9: One-way analysis of variance
Chapter 8: Comparing two means: the t-test
Chapter 7: The normal distribution
Chapter 6: Population proportions and the binomial distribution
Chapter 5: Hypothesis testing
Chapter 4: Probability distributions
Chapter 3: Visualizing data
Chapter 2: Data sampling, accuracy, and precision
Chapter 1: Introduction to R and RStudio
Ethics in Synthetic Biology
28 Aug 2020 | Teaching Materials | Contributor(s):
By Lisa Scheifele1, Fran Sandmeier
Loyola University Maryland
This collection of five activities provide students with an introduction to thinking about ethical concerns in human genome synthesis, gene editing, metabolic engineering, and synthetic genomes.
30 Jul 2020 | Teaching Materials | Contributor(s):
By Lisa Scheifele
out of 5 stars
10 Jul 2020 |
Swirl: Learn R, in R
Analyzing Nutrient Simulation Experiments with a one-way ANOVA
09 Jun 2020 | Teaching Materials | Contributor(s):
By Rebecca North
We discuss what tests are appropriate to analyze the data from nutrient simulation experiments. They will conduct one-way ANOVAs and a post hoc test using a dummy dataset and interpret the results.
Graphing grouped continuous data in R with swirl
13 Jan 2020 | Teaching Materials | Contributor(s):
By Marney Pratt
This lesson helps students know some of the options for how to graph grouped continuous data (such as those involved in doing a t-test or ANOVA) and how to choose the best option.