Statistics and Statistical Programming (Fall 2020)/pset6: Difference between revisions
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== Programming challenges == | == Programming challenges == | ||
== Statistical questions == | == Statistical questions == | ||
== Empirical paper questions == | == Empirical paper questions == | ||
We'll continue our apparent focus on blogs with the following questions about the Sweetser and Metzgar paper. | |||
=== EQ1. Interpret the results re: RQ4 === | |||
(a) What is the unit of analysis? What is the dependent variable? The independent variable? What are the levels or groups of being compared in the ANOVA? | |||
(b) Clearly State the null hypothesis being tested. What is the alternative hypothesis? | |||
(c) Summarize or restate the results in statistical terms. Explain what these results mean in substantive terms. | |||
(d) How convincing do you find these results? What should we be taking away? | |||
=== EQ2. Interpret the results re: RQ5 === | |||
Answer the same (a)-(d) questions as you did for RQ4 above, but with RQ5. | |||
=== EQ3. Interpret the results re: RQ6 === | |||
Answer the same (a)-(d) questions as you did for RQs 4-5 above, but with RQ6. | |||
== Notes == | == Notes == | ||
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* Some observational analysis t-test re: interpretation | * Some observational analysis t-test re: interpretation | ||
* Example code: t.test(), aov(), summary(), p.adjust() | * Example code: t.test(), aov(), summary(), p.adjust() | ||
* Data dino and/or anscombe's quartet | |||
Revision as of 16:25, 4 November 2020
Programming challenges
Statistical questions
Empirical paper questions
We'll continue our apparent focus on blogs with the following questions about the Sweetser and Metzgar paper.
EQ1. Interpret the results re: RQ4
(a) What is the unit of analysis? What is the dependent variable? The independent variable? What are the levels or groups of being compared in the ANOVA?
(b) Clearly State the null hypothesis being tested. What is the alternative hypothesis?
(c) Summarize or restate the results in statistical terms. Explain what these results mean in substantive terms.
(d) How convincing do you find these results? What should we be taking away?
EQ2. Interpret the results re: RQ5
Answer the same (a)-(d) questions as you did for RQ4 above, but with RQ5.
EQ3. Interpret the results re: RQ6
Answer the same (a)-(d) questions as you did for RQs 4-5 above, but with RQ6.
Notes
- Red dye study for ANOVA and t-tests
- Blogs paper for example of interpreting ANOVA
- Multiple comparisons? Implement Benjamini-Hochberg
- Some observational analysis t-test re: interpretation
- Example code: t.test(), aov(), summary(), p.adjust()
- Data dino and/or anscombe's quartet
