describe a hypothetical experimental scenario when an interaction term might be significant

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

a.    How does controlling for False Discovery Rate (FDR) work? Outline the general framework for controlling the FDR to 5%.

 2)    Gene Ontology Enrichment

a. What is Gene Ontology (GO) and why is testing enrichment of Gene Ontologies in a subset of genes often useful?

b.  Explain which statistical test is most frequently used for GO enrichment testing and why.

Statistical Modeling

3)  Model Formulae

a. In the formula Y ~ X, what is another name for Y and for X?

b. How do you write a formula if you are interested in an interaction term?

c. How would you determine whether an interaction term should be included in your model or not?

d. Describe a hypothetical experimental scenario when an interaction term might be significant.

4) ANOVA models

a. What does ANOVA test?

b. What types of values (continuous, discrete, or categorical) are the Response and Predictor variables?

c.  Why is it useful to consider interaction terms instead of just marginal effects?

d. For the image of an ANOVA result below:

 i.  What is the Df column describing?

 ii. What is the Sum Sq column describing?

iii. How is the F distribution created? How is the F-statistic cal culated?

 

iv.What is the null hypothesis of the F-test?

Attachments:

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