Editing Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 6

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: '''EQ1.''' For ''Study 1'', let's focus on the statistical test:
 
: '''EQ1.''' For ''Study 1'', let's focus on the statistical test:
 
:: (a) What is the unit of analysis? What is the dependent variable? The independent variable? What are groups being compared in the test? Is it a one-way or two-way design?
 
:: (a) What is the unit of analysis? What is the dependent variable? The independent variable? What are groups being compared in the test? Is it a one-way or two-way design?
:: (b) Why not just summarize the results, like we did in week 2? Why bother with the statistical test? How do you decide when to use each statistical procedure?
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:: (b) What is the null hypothesis being tested? What is the alternative hypothesis?  
:: (c) What is the null hypothesis being tested? What is the alternative hypothesis?  
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:: (c) Summarize or restate the results in statistical terms. Explain what these results mean in substantive terms? How convincing do you find these results? What should we be taking away?
:: (d) Summarize or restate the results in statistical terms. Explain what these results mean in substantive terms? How convincing do you find these results? What should we be taking away?
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:: (d) Why weren't we happy just leaving it where we did in week 2? Why bother with the statistical test? How do you decide when to use each statistical procedure?
 
 
  
 
Now go back to the Shaw and Benkler paper from a few weeks ago:
 
Now go back to the Shaw and Benkler paper from a few weeks ago:
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:: (a) What statistical procedure produced the p-value in Table 3? What is the null hypothesis being tested?
 
:: (a) What statistical procedure produced the p-value in Table 3? What is the null hypothesis being tested?
 
:: (b) How convincing do you find these results? What are some reasons to be skeptical?
 
:: (b) How convincing do you find these results? What are some reasons to be skeptical?
:: (c) Reproduce Figure 2 using the data in Table 3. One thing that's missing from that figure is error bars. Based on the reading from Reinhart §5, what type of error bars do you think you should use? Figure out how to calculate the error bars and figure out if they overlap? What does that tell us? (Bonus: figure out how to add error bars to the bar plot)
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:: (c) Reproduce Figure 2 using the data in Table 3, this time adding error bars. Based on the reading from Reinhart §5, what type of error bars do you think you should use? Do they overlap? What does that tell us?
 
:: (d) Should we be concerned about the base rate fallacy described in Reinhart §4? Why or why not?
 
:: (d) Should we be concerned about the base rate fallacy described in Reinhart §4? Why or why not?

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