Course
BIOL2022 Module 1 (Clarissa)
L01 Why Statistics? Organisms are variable in a variable world; L02 Considerations of sampling; L03 Design - BEING REPRESENTATIVE; L04 Design - PROCEDURAL CONTROLS and REPLICATION; L05 T-tests L06 ANOVA L07 3 Cardinal sins: Non-independence; Confounding; Pseudoreplication; L08 CONTINGENCY and chi-squared; L09 Contingency tests - INTERACTIONS
Modules (9)
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BIOL2022 L01 Why statistics? Organisms are variable in a variable world.
Module 1, Lecture 1 SUMMARY: - Must make questions explicit, and state hypotheses and logical predictions - Correlative approach will tell you that a pattern exists, but (in most cases) only an experiment will tell you why - A simple framework can make life easier!
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BIOL2022 L02 Considerations of sampling. The need to have statements that are testable; operating in a logical structure
Module 1, Lecture 2 By the end of this lecture you should understand: - Biology (marine, intertidal, terrestrial) is a question-based discipline - Correlative vs Experimental approach - Falsificationist approach - A LOGICAL FRAMEWORK
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BIOL2022 L03 Sampling and experiments: Design is all! #1 BEING REPRESENTATIVE when sampling biological systems
Module 1, Lecture 3 By the end of this lecture you should understand: - The need for random but representative samples - In heterogeneous environments, stratification is important - That precision can be improved by stratification
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BIOL2022 L04 Sampling and experiments: Design is all! #2 Avoid confounding: PROCEDURAL CONTROLS and REPLICATION
Module 1, Lecture 4 By the end of this lecture you should understand: - The need for proper controls in experiments o Effectively for everything you do! - The need for interspersion of treatments
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BIOL2022 L05 Testing differences between two means: 1- and 2-tailed t-tests
Module 1, Lecture 5 By the end of this lecture you should understand: - Carrying out a t-test - One- and two-tailed t-tests
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BIOL2022 L06 ANOVA in practice. Why do it? Analyses with more than two means; interactions
Module 1, Lecture 6 By the end of this lecture you should understand: - Why we need ANOVA - Entering data and running a 1-way ANOVA - Interpreting a 1-way ANOVA - Entering data and running a 2-way orthogonal ANOVA - Interpretation of one of those ^^
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BIOL2022 L07 Three cardinal sins: Non-independence, Confounding, Pseudoreplication
Module 1, Lecture 7 By the end of this lecture you should understand: - Why independence is important - Lack of independence causes pseudoreplication - Lack of independence causes confounding - Independence is the single most important thing you can use to do good experiments (both manipulative and mensurative
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BIOL2022 L08 Contingency and chi-squared analysis
Module 1, Lecture 8 No lecture objectives, but title = "Counting things and ascribing relationships"
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BIOL2022 L09 Being clever with contingency tests - yes, you can do INTERACTIONS
Module 1, Lecture 9 AIM: To learn tests of independence for categorical data
| Course resource | Original resource | Created by |
|---|---|---|
| BIOL2022 L01 Why statistics? Organisms are variable in a variable world. | BIOL2022 L01 Why statistics? Organisms are variable in a variable world. | Michael Jardine |
| BIOL2022 L02 Considerations of sampling. The need to have statements that are testable; operating in a logical structure | BIOL2022 L02 Considerations of sampling. The need to have statements that are testable; operating in a logical structure | Michael Jardine |
| BIOL2022 L03 Sampling and experiments: Design is all! #1 BEING REPRESENTATIVE when sampling biological systems | BIOL2022 L03 Sampling and experiments: Design is all! #1 BEING REPRESENTATIVE when sampling biological systems | Michael Jardine |
| BIOL2022 L04 Sampling and experiments: Design is all! #2 Avoid confounding: PROCEDURAL CONTROLS and REPLICATION | BIOL2022 L04 Sampling and experiments: Design is all! #2 Avoid confounding: PROCEDURAL CONTROLS and REPLICATION | Michael Jardine |
| BIOL2022 L05 Testing differences between two means: 1- and 2-tailed t-tests | BIOL2022 L05 Testing differences between two means: 1- and 2-tailed t-tests | Michael Jardine |
| BIOL2022 L06 ANOVA in practice. Why do it? Analyses with more than two means; interactions | BIOL2022 L06 ANOVA in practice. Why do it? Analyses with more than two means; interactions | Michael Jardine |
| BIOL2022 L07 Three cardinal sins: Non-independence, Confounding, Pseudoreplication | BIOL2022 L07 Three cardinal sins: Non-independence, Confounding, Pseudoreplication | Michael Jardine |
| BIOL2022 L08 Contingency and chi-squared analysis | BIOL2022 L08 Contingency and chi-squared analysis | Michael Jardine |
| BIOL2022 L09 Being clever with contingency tests - yes, you can do INTERACTIONS | BIOL2022 L09 Being clever with contingency tests - yes, you can do INTERACTIONS | Michael Jardine |