BIOL
283 Lecture Summaries
Bear in mind that these
files should be taken as guidelines for review and study. They are
in no way a comprehensive presentation of the range of information for
which you are responsible. Nevertheless, they may help you sort throughthe
information in your notes and give you a perspective about which details
are important vs. incidental.
The
Nature of Science and Statistics, Natural vs. Systematic Variation
Populations,
Samples and Error
Simple
Random Samples
Types
of Data
Descriptive
Statistics: Central Tendency
Descriptive
Statistics: Variation
Basic
Probability
Binomial
Distribution
Poisson
Distribution
Normal
Distribution
z Scores
Hypothesis
Testing
Sampling
Distributions
Central
Limit Theorem
Confidence
Limits and the t Distribution
Type
I and Type II Errors
Degrees
of Freedom and Multiple Tests
One-Sample
t Test
Independent
and Paired Sample t Tests
Rationale
of ANOVA
Completely
Randomized Designs
Factorial
ANOVA
Nonparametric Alternatives
I
Nonparametric Alternatives
II
Correlation vs. Regression
Correlation
Analysis
Least
Squares Regression
Predictability,
Significance and Strength
Analysis of Covariance
Comparing Observed and Expected
Distributions
Chi-Square Goodness of Fit
Test
Chi-Square Contingency Test
Ch--Square Test of Association
Monte Carlo Randomization |