Graded Quiz: Experimental Design and Testing :Statistics Foundations (Meta Marketing Analytics Professional Certificate) Answers 2025
Question 1
What type of error falsely rejects the null hypothesis in favor of the alternate hypothesis?
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❌ Type AB error
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✅ Type 1 error
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❌ Type 2 error
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❌ Analytic error
Question 2
Which of the following are steps in experimental design? (I. Measurement II. Hypothesis III. Communicate)
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❌ II. and III.
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✅ All of these.
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❌ I. and III.
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❌ I. and II.
Question 3
Null hypothesis for fuel additive test?
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❌ That the additive is too expensive.
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❌ That the additive increases the fuel efficiency significantly.
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❌ That the additive decreases fuel efficiency significantly.
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✅ That the fuel additive does not affect the fuel efficiency significantly.
Question 4
Alpha = 0.05, P-value = 0.08. Conclusion?
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❌ There is a significant difference. Fail to reject H0, accept H1.
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✅ There is no significant difference. Fail to reject H0, reject H1.
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❌ There is a significant difference. Reject H0, accept H1.
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❌ There is no significant difference. Reject H0, reject H1.
Question 5
Repeated measures, A/B testing, and RCTs are studies of what type?
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❌ Statistics
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❌ Bias
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❌ Observational
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✅ Experimental
Question 6
“Assuming the data sample is large enough” is an example of what statistical assumption?
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❌ Normality
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✅ Required sample size
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❌ Homogeneity of variance
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❌ Linearity
Question 7
What is the alpha for a 96% confidence interval?
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✅ 0.04
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❌ 0.05
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❌ 0.96
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❌ 96%
Question 8
What is observational bias?
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❌ When you can’t see what is happening.
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❌ When analysts don’t observe cultural differences between themselves and the sample.
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✅ That observing people can cause them to act in a manner inconsistent with their true actions.
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❌ When you select a sample by observing the population incorrectly.
🧾 Summary Table
| Q | Correct Answer | Key concept |
|---|---|---|
| 1 | Type 1 error | False positive — reject true null |
| 2 | All of these | Hypothesis, measurement, communication all part of design |
| 3 | Additive does not affect efficiency | Null = no effect |
| 4 | No significant difference; fail to reject H₀ | p (0.08) > α (0.05) |
| 5 | Experimental | Designs with active assignment |
| 6 | Required sample size | Assumption about sample size sufficiency |
| 7 | 0.04 | α = 1 − confidence level |
| 8 | Observing people changes behavior | Hawthorne/observational bias |