Biology 4605/7220/ST4581
Quiz 8b
Name_
27 November 1996
In 1979-80 a marine biologist measured the following variables once a day on 300 successive
days at Manomet Pt, Massachusetts, where harbour seals Phoca vitulina haul out at low tide.
Assign a symbol
Name_
Laboratory #3.
Probability Values from Distribution Functions
Statistical analysis begins with frequency distributions. In order to evaluate any particular
outcome we need to compare it to a distribution of outcomes. An example of a particular outco
Laboratory #1. Inference ('guess the process').
We use inference every day to make general statements about specific events. We might, for
example, notice that relatively small snowflakes have begun to fall, and from this expect a big
snowfall. Of course
Laboratory #6.
The General Linear Model: Single Factor Analysis of Variance
The purpose of this laboratory is to demonstrate the use of computer packages to carry out ANOVA
(Analysis of Variance) as a special case of the General Linear Model. In ANOVA, th
Biology 4605/7220/ST4581
Final Examination
Name _
11 December 1992
1. The general linear equation is a compact summary of many forms of parametric
statistical analysis. The equation has the form:
Response = Explanatory + residual
Y
= o + X
+
,
The systema
Laboratory #5b.
The General Linear Model: Regression with Randomization
The purpose of this laboratory is to give you further practice in the model-based (GLM) approach
to regression. The General Linear Model includes many well-known tests as special case
Laboratory #4.
Probability Values by Randomization.
In the quantitative analysis of biological data we are frequently interested in the uncertainty
surrounding our result. The frequentist approach addresses uncertainty by asking : How often could
the obse
Name _
Laboratory #11.
Bootstrap Estimates
Randomization methods so far have been used to compute p-values for hypothesis testing.
Randomization methods can also be used to place confidence limits around estimates.
Randomization methods can be used to pla
Laboratory #9a.
Problem-Solving with the GLM. I. Setting up the Analysis.
The purpose of this lab is to gain practice in setting up statistical analyses. This is the most important
part of statistical analysis, as it determines the analytic path. At the s
Name _
Laboratory #10
The Generalized Linear Model - Logistic Regression
The purpose of this lab is to develop the capacity to execute the analysis of binomial data in a
model based format. With a model-based approach (the Generalized Linear Model) all of
Name _
Laboratory #7.
Applying the General Linear Model - Multifactor ANOVA
The purpose of this lab is to increase your skill and facility in applying the general linear
model to what the statistician John Tukey called "data situations." A data situation
Name _
Laboratory #8.
Applying the General Linear Model - ANCOVA
The purpose of this lab is to increase your skill and facility in applying the general linear
model to "data situations" where there are at least two explanatory variables. Based on what you
Laboratory #5a.
The General Linear Model: Regression
The purpose of this laboratory is to give you practice in using the General Linear Model in the
analysis of data. The General Linear Model includes many well-known tests as special cases
(ANOVAs, t-test