BIO 305
Week 4
Statistical Analyses and Nutrient Addition Experiment
In the first part, you will learn how to perform statistical analyses (t-test, chi-square
test) and how to test your hypotheses using the statistics in excel.
Purpose or rationale of the
BIO 305
Week 3
Limiting factors in biology:
Nutrient addition experiment
In this lab, you will design and set up a greenhouse experiment examining the effects of
nutrient limitation on bean plants (N-fixers), Phaseolus vulgaris.
Purpose or rationale of th
Module 2: Weeks 7-10
Vertebrate Development
Genetics and Environment
Hypothesis based science
Discovery based science (mutant & chemical screens etc)
Prof. Kate Lewis
Grading for weeks 7-10. Module 2.
Deescribed in detail in the syllabus
60% - lab book re
Weeks 11-14
Model organism:
Caenorhabditis elegans
Germline development
Notch-type cell signaling
Regulation of development by genes & environment
Links between gene expression & disease
Outline
Week 11: Introduction to C. elegans.
Week 12: Observing effe
Week 12
Environmental impacts on development
Development is buffered against extreme
environmental fluctuations.
Environment may be a normal agent for
producing phenotype.
Environmental factors may produce
disease states.
Embryonic development is buffered
BIO 305 Module 1 Presentations
Grading Criteria
A. Introduction (30%)
a. Background, previous research, supporting evidence (with refs) (20)
b. Question
c. Hypothesis
(5)
(5)
B. Results (50%)
a. Statistics
(10)
b. Graph with error bars
(5)
c. Interpretati
Lecture #2
Correlation Coefficient
Simple Linear regression
Linear Correlation
What is it?
Interpret a Correlation Coefficient
Assess Correlation from a Scatterplot
Compute a Correlation Coefficient
What is a Correlation
Coefficient?
Correlation Coefficie
What we will cover today?
Hypothesis testing
The T test
Chi Square goodness of fit test
Hypothesis Testing
What is Hypothesis Testing?
Statistical Hypotheses
Hypothesis Tests
Decision Errors
Decision Rules
Power of a Hypothesis Test
Effect Size
Factors th
Statistics
What we will cover today?
Mean (Mean of a Population & mean of a
Sample)
Median
Mode
Variance (both Population & Sample)
Standard Deviation (both Population &
Sample)
What is mean?
The mean of a sample or a population is
computed by adding all
4th lecture
ANOVA &
REVIEW SOME
CONCEPTS
ANOVA
Checks differences between means of 3 or
more groups.
Comparing the mean BP between members of
3 different ethnic groups.
T - test
Checks differences between mean of 2
groups.
Example: Comparing the mean BP b