Which statistical method is most commonly used by scientific retailers to identify hidden patterns in customer purchase data for product placement optimization?

Modern scientific retailers use sophisticated data analytics to drive business decisions. From predictive algorithms that anticipate consumer behavior to complex pricing models based on statistical analysis, science has transformed retail strategy. This poll tests your knowledge about how scientific methods are being applied to analyze retail big data for strategic advantage in today's competitive marketplace.

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Principal Component Analysis (PCA)
Simple Linear Regression
Bernoulli Distribution Analysis
Arithmetic Mean Calculation