Chapter review

• General principles and direct measurements taken in actual populations combine to form comprehensive expectations about amounts, patterns, and cause-and-effect relationships in population genetics.

• The theory of population genetics is the collection of well-accepted expectations used to articulate a wide array of predictions about the biological processes that shape genetic variation.

• Parameters are idealized quantities that are exact while parameter estimates wear notational "hats" to remind us that they have statistical uncertainty.

• Population genetics uses both inductive reasoning to generalize from knowledge of specifics and deductive reasoning to build up predictions from general principles that can be applied to specific situations.

• Population genetics is not a spectator sport! Direct participation in computer simulation provides the opportunity to see population genetic processes in action. You can learn by trial and error and test your own understanding by making predictions and then comparing them with simulation results.

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