Data Analysis for Impact Evaluations – Quiz 1

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Question 1 of 4

1. Question

1. What is the average Year 3 Hindi test score in the control group? Round to the nearest 0.1.

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Question 2 of 4

2. Question

2. Which of the following statements is true? (select all that apply)

Treatment students scored higher in Hindi on the Year 3 test on average than control students
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Control students scored higher in Hindi on the Year 3 test on average than treatment students
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The difference between treatment & control is statistically significant at the 5% level
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The difference between treatment & control is statistically significant at the 10% level
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The difference between treatment and control is overestimated because there are more treatment students than control students in the sample
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None of the above
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Question 3 of 4

3. Question

Now regress Hindi Year 3 scores on the treatment variable.

3. Which of the following statements is true? (select all that apply)

The coefficient on treatment is different than the difference between treatment & control groups in the t-test
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The standard error on treatment is different than the standard error on the difference between treatment & control groups in the t-test
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The regression output does not show the control mean, whereas the t-test output does
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The t-test output does not show the p-value, whereas the regression output does
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The regression command does not have an option for heteroskedasticity-robust standard errors, whereas the t-test command does
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None of the above
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Question 4 of 4

4. Question

4. Which of the following design features can a regression incorporate but a t-test cannot? (select all that apply)

Sampling weights
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Control variables
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Unequal variance in treatment and control groups
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RCT causal effects estimation
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Clustered standard errors
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None of the above
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Data Analysis for Impact Evaluations – Quiz 1

Quiz Summary

Information

Results

Results

Categories

1. Question

2. Question

3. Question

Now regress Hindi Year 3 scores on the treatment variable.

4. Question

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Quiz Summary

Information

Results

Results

Categories

1. Question

2. Question

3. Question

Now regress Hindi Year 3 scores on the treatment variable.

4. Question

Call for Expressions of Interest: Advancing decision-relevant evidence on gig work in LMICs

Building an AI-powered clinical advisor to strengthen frontline healthcare in Ethiopia

Could, would, should: What philanthropy owes AI in global development

Context as a public good

Meeting the need for quantitative measurement in community-led development programs

Ensuring responsible AI adoption in African parliaments

Can AI strengthen foundational learning in African classrooms?

Governing AI: Takeaways from the 2026 AI for Good Global Summit

Good evidence as a starting point for more democratic technology

Relational strategies for working with parliaments in Africa

Related content

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