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BIG IDEA 1

BIG IDEA 1. ARTIFICIAL SELECTION LAB PRESENTATION Lab Manual pgs 5 - 18. Quantitative Skills. Modeling. Hypothesis Testing. Analysis. Problem Solving. Graphing/Mapping/Ordering. Counting/Measuring/Calculating. Graphing, Mapping , Ordering. Mathematics

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BIG IDEA 1

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  1. BIG IDEA 1 ARTIFICIAL SELECTION LAB PRESENTATION Lab Manual pgs 5 - 18

  2. Quantitative Skills Modeling Hypothesis Testing Analysis Problem Solving Graphing/Mapping/Ordering Counting/Measuring/Calculating

  3. Graphing, Mapping, Ordering • Mathematics • underlies almost every biological experiment performed • even before any analysis of results • Follow rules of making graphs • Review on pg 7 & 8 of Lab Manual

  4. Certain plot shapes = infer causal mechanisms • Scatter plots • Ordinary scientific activity

  5. Bell shape curve • Associated with random samples

  6. Exponential curve graphs • Concave upward curve as with early stages of bacterial growth

  7. Carrying capacity graph • Carrying capacity in the environment

  8. Sine-wave-like curve • Biological rhythm

  9. Ordering • Also important • Sequencing of a protein • Sequencing of genes along a chromosome • Pecking order in a chicken coop • Trophic levels in a food chain

  10. Mapping • Very important in Biology • Localization of organelles to world mapping of biodiversity

  11. Problem Solving • Connection between • Game playing strategies • Problem solving strategies • Concept maps • Punnett squares • Pedigrees • Tables • Anything to help determine a pattern

  12. Analysis • BLAST • Basic Local Alignment Search Tool • Basic information tool to help design cladograms • INVESTIGATION 3 in lab manual

  13. Hypothesis Testing • Statistical analysis • Helps to distinguish between multiple working hypotheses • Helps to propose and investigate all possibilities or a particular phenomenon • Helps to design experiments to eliminate all but one competing hypotheses

  14. Modeling • From Words to Equations to Graphs • Simple models help biologists explore complex systems • Models can be used to explore various possibilities • Models can lead to the development of conceptual frameworks • Models can make accurate predictions • Models can generate explanations

  15. The FOXRAB Game • Construction of a model game • Writing out assumptions as word equations • Abstracting the word equations into arithmetic equations • Generating a spreadsheet • Graphic model of the game played over time

  16. Miniposters

  17. Title • Abstract • Introduction with primary question, background context, and hypothesis • Methodology • Results, including graphs, tables, charts, and statistical analysis • Conclusions, or interpretations of results based on hypothesis • Literature cited

  18. Peer Review

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