Final Exam Review
Basic Definitions
The Kullback-Leibler (K-L) information between models f and g is
defined for continuous distributions as follows.
Here f and g are probability distributions. The verbal description
of I(f, g) is that it represents the

Quiz 1 Review
1. Method of moments (also called plug-in) estimators.
These are easy to calculate but typically have no theory to back
them up or to determine their precision, unless they happen to be
estimators of another class also.
2. Estimators based o

Practice Quiz 2
1.) (8 pts) Its important to remember that proteins have specific jobs to do in
the cell. For each protein below, indicate which of the following
categories best describes its job: (Some categories may not be used.)
a. Transcription factor

Practice Exam 1
1.) (4 pts) Name the starting and ending molecules for each of the following key
biological processes:
Translation Transcription
_ _ _ _
2.) (1 pt) Cells move to new positions as an embryo establishes the three germ layers
during
(A) Deter

Midterm Comprehensive Review
The problem with multiple testinga rehash
When we carry out a single statistical test, we typically set = .05 to
ensure that the probability of falsely rejecting a true null hypothesis is
fairly small.
But if we test m hypot

Lecture 7 Notes
Generating the Samples
The R function runif can be used to generate random data from a
uniform distribution. We generate 100,000 values from the standard
uniform distribution.
pop<-runif(100000)
We visualize the population distribution a

Lecture 6 Notes
Building the model
We begin by identifying the relevant parameters of our model.
1. Let n = # habitable locations on each shoot where each location is
only large enough to be occupied by a single caterpillar. We
assume that n is fairly la

Lecture 5 Notes
Choosing an estimator (continued from last time)
Usually the situation is not so clear cut. Suppose estimator
for
while
than is
and
is unbiased for
. Suppose also that
is biased
is more precise
. The diagram below illustrates sampling dist

Lecture 4 Notes
Introduction to Estimation Theory
Parameter: a numerical characteristic of a population
o In ecology we might be interested in the diversity of plants in a
habitat. Diversity is a parameter.
o In statistics we think of populations as bein

Quiz 4 Review
What to do when the assumption of linearity is suspect
If the linearity assumption of ordinary least squares appears suspect, the
best choice is to use biological theory to suggest an alternative model.
(This is probably a good idea even if