Statistical Data Analysis in Food Quality Management

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This course is designed for third-year food quality students, providing a comprehensive framework that includes eight chapters focused on key learning outcomes. Students will engage with modules covering descriptive statistics, data visualization, and R software for data management. Additionally, the course offers a detailed guide to t-tests, teaching students to identify different types, assess normality, and interpret p-values to report significant findings.