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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?

  • ❌ Type AB error

  • Type 1 error

  • ❌ Type 2 error

  • ❌ Analytic error


Question 2

Which of the following are steps in experimental design? (I. Measurement II. Hypothesis III. Communicate)

  • ❌ II. and III.

  • All of these.

  • ❌ I. and III.

  • ❌ I. and II.


Question 3

Null hypothesis for fuel additive test?

  • ❌ That the additive is too expensive.

  • ❌ That the additive increases the fuel efficiency significantly.

  • ❌ That the additive decreases fuel efficiency significantly.

  • That the fuel additive does not affect the fuel efficiency significantly.


Question 4

Alpha = 0.05, P-value = 0.08. Conclusion?

  • ❌ There is a significant difference. Fail to reject H0, accept H1.

  • There is no significant difference. Fail to reject H0, reject H1.

  • ❌ There is a significant difference. Reject H0, accept H1.

  • ❌ There is no significant difference. Reject H0, reject H1.


Question 5

Repeated measures, A/B testing, and RCTs are studies of what type?

  • ❌ Statistics

  • ❌ Bias

  • ❌ Observational

  • Experimental


Question 6

“Assuming the data sample is large enough” is an example of what statistical assumption?

  • ❌ Normality

  • Required sample size

  • ❌ Homogeneity of variance

  • ❌ Linearity


Question 7

What is the alpha for a 96% confidence interval?

  • 0.04

  • ❌ 0.05

  • ❌ 0.96

  • ❌ 96%


Question 8

What is observational bias?

  • ❌ When you can’t see what is happening.

  • ❌ When analysts don’t observe cultural differences between themselves and the sample.

  • That observing people can cause them to act in a manner inconsistent with their true actions.

  • ❌ 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