BIOC51H3 Lecture : Readings 3 notes

84 views2 pages
11 Aug 2010
School
Course
Readings 3
-a trait, or integrated suite of traits, that increases the fitness of its possessor is called an
adaptation, and is said to be adaptive
-in order to demonstrate that a trait is an adaptation, first determine what a trait is for and
then show that individuals possessing the trait contribute more genes to future generations
than individuals lacking it
-through experimentation, Weeks was able to conclude that oxpeckers have no discernable
((}vZ]Z}[]lo}
-Weeks also concluded that oxpeckers spend a considerable fraction of their feeding time
drinking blood from open wounds and cleaning earwax from their hosts
-the oxpecker experiments demonstrate that we cannot uncritically accept a hypothesis about
the adaptive significance of a behaviour simply because it is plausible
-differences among populations or species are not always adaptive (oxpeckers with different
}o}µ}v[uvZ}vÁ]oou}µ(µoZvZ}Z)
-not every trait of an organism, or every use of a trait by an organism, is an adaptation (the
feeding habits of an oxpecker may or may not create mating opportunities)
-not every adaptation is perfect (feeding on blood and earwax may not be sufficient because
its an unpredictable food supply)
-a well designed experiment allows scientists to isolate and test the effect that a single, well
defined factor has on the phenomenon
-the first step in any evolutionary analysis is to phrase the question as precisely as possible
because it makes it easier to design an experiment that will provide a clear answer
-ZZ[vÆ]}o]ov]ÀÆov]}v(}ZZÀ]}µÇ]vP
many competing hypotheses as possible
-defining and testing effective control groups is critical in order to compare
-all treatments must be handled exactly alike in order to avoid bias and increase precision of
the data
-randomization is a key technique for equalizing other miscellaneous effects among control and
experimental groups and another way to avoid bias
-repeating the test on many individuals is essential (larger samples are better in estimating a
quantity)
-replicated experiments reduce the amount of distortion in the estimate caused by unusual
individuals or circumstances
-replicated experiments allow researchers to understand how precise their estimate is by
measuring the amount of variation in the data
-knowing how precise the data are allows the use of statistical tests
-in a statistical test, the first step is specifying a null hypothesis which states that there is no
difference between the groups
-the second step is to calculate a value called the t-statistic that characterizes the magnitude of
the difference between the groups
-the third step is to determine the probability that chance alone could have made the test
statistic as large as it is
www.notesolution.com
Unlock document

This preview shows half of the first page of the document.
Unlock all 2 pages and 3 million more documents.

Already have an account? Log in

Get access

Grade+20% off
$8 USD/m$10 USD/m
Billed $96 USD annually
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
40 Verified Answers
Class+
$8 USD/m
Billed $96 USD annually
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
30 Verified Answers

Related Documents

Related Questions