Which statistical method is most commonly used by mathematics education product developers to analyze the effectiveness of their learning tools based on customer usage data?

Product analytics in mathematics education has evolved significantly over the past decade. Mathematical learning tools have integrated sophisticated algorithms and data collection methods to better understand student engagement and knowledge retention. This poll tests your knowledge of how mathematics education products are evaluated and improved through customer feedback analysis—a crucial aspect of educational technology development that combines mathematical principles with product management.

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Bayesian inference models that adapt to learner progress
Simple linear regression focusing only on completion rates
Markov chain simulations of random student interactions
Fixed ANOVA testing that ignores individual learning paths