overview of class title introduction to quantitative literacy

Linear Model Exponential Model Logistic Model 1. Density-dependent multiplicative growth 2. Density-independent multiplicative growth

Time series 1. 2. 3. 4. Determine model fits and draw appropriate curve [small

Time series, continued 1. 2. 3. 4. Determine model fits and draw appropriate curve

Summative Assessment 1 A. In-class group formulation of additional time series data and group

Summative assessment Q 1 • Question 1: Which model from column 2 goes with

Summative assessment Q 2 • Question 2: Put the hypotheses in column 3 in

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overview of class title: introduction to quantitative literacy student type: new to university Units (associated goals) 1. Data (analyze data usefully) 2. Models (enumerate model assumptions/implications) 3. Hypotheses (formulate & refine testable hypotheses) Today: Unit 4: Integrate #1, 2, 3 (distinguish among hypotheses using data via models) Learning objective for today: Use a data set to prioritize different candidate models and formulate associated hypotheses

Linear Model Exponential Model Logistic Model 1. Density-dependent multiplicative growth 2. Density-independent multiplicative growth 3. Additive growth Choose which hypothesis aligns to each model and explain why you selected it

Gannet colony data

Time series 1. 2. 3. 4. Determine model fits and draw appropriate curve [small groups] All-class clicker vote Discuss rationale for model choice. Discuss: What do you hypothesize is happening biologically?

Time series, continued 1. 2. 3. 4. Determine model fits and draw appropriate curve [small groups] All-class clicker vote Discuss rationale for model choice. Discuss: What do you hypothesize is happening biologically?

Time series continued 1. 2. 3. 4. Determine model fits and draw appropriate curve [small groups] All-class clicker vote Discuss rationale for model choice. Discuss: What do you hypothesize is happening biologically?

Summative Assessment 1 A. In-class group formulation of additional time series data and group swap 1 B. Build a new model and formulate hypothesis based upon submitted data. 2. Real-life case study: Given a new data set chosen from actual publications, pick a model and formulate a hypothesis. Group work in and out of class, followed by an in class presentation that will be peer evaluated (Rubric provided by instructor) 3. In-Class Exam Questions

Summative assessment Q 1 • Question 1: Which model from column 2 goes with which visual representation in column 1? Column 1 Column 2 Column 3 A. B. C. D. A=1, B=2, C=3 A=2, B=3, C=1 A=3, B=2, C=1 A=3, B=1, C=2

Summative assessment Q 2 • Question 2: Put the hypotheses in column 3 in the right order with models A, B, and C. Column 1 A. B. C. D. A=☐, B=Δ, C=Ο A=Ο, B=Δ, C=☐ A=Ο, B=☐, C=Δ A=☐, B=Ο, C=Δ Column 2 Column 3