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    • Bachelor of Science in Agribusiness Management, Bachelor of Science in Agricultural Education and Extension, Bachelor of Science in Agriculture, Bachelor of Science in Horticulture
      • AEB 203/ACS 206 Introduction to Statistics
    • MASTER OF SCIENCE IN STATISTICS
      • Computational Matrix Analysis
      • Theory of Estimation
      • Linear Statistical Models I
      • Probability Theory I
      • Survival Models
      • Bayesian Analysis
    • BACHELOR OF SCIENCE IN AGRIBUSINESS MANAGEMENT
      • BUSINESS LAW AEB 311 SEM I 26-27
      • AEB 307 Statistics II
      • AEB 309 Agribusiness Project Planning & Analysis
      • AEB 320 Research Methods in Agribusiness
      • AEB 205 Human Resource Management
      • AEB 411 Leadership and Corporate Governance in Agribusiness
    • BACHELOR OF SCIENCE IN STATISTICS
      • Programming Methodology
      • Statistical Planning and Design of Experiments
      • STA 307 Macroeconomics Sem II 2025/2026 AY
      • STA 420: Project in Statistics
      • STA 408: Design and Analysis of Experiments II
      • Bayesian Inference and Decision Theory
    • View all
  • Courses
    Bachelor of Science in Agribusiness Management, Bachelor of Science in Agricultural Education and Extension, Bachelor of Science in Agriculture, Bachelor of Science in Horticulture
    • AEB 203/ACS 206 Introduction to Statistics
    MASTER OF SCIENCE IN STATISTICS
    • Computational Matrix Analysis
    • Theory of Estimation
    • Linear Statistical Models I
    • Probability Theory I
    • Survival Models
    • Bayesian Analysis
    BACHELOR OF SCIENCE IN AGRIBUSINESS MANAGEMENT
    • BUSINESS LAW AEB 311 SEM I 26-27
    • AEB 307 Statistics II
    • AEB 309 Agribusiness Project Planning & Analysis
    • AEB 320 Research Methods in Agribusiness
    • AEB 205 Human Resource Management
    • AEB 411 Leadership and Corporate Governance in Agribusiness
    BACHELOR OF SCIENCE IN STATISTICS
    • Programming Methodology
    • Statistical Planning and Design of Experiments
    • STA 307 Macroeconomics Sem II 2025/2026 AY
    • STA 420: Project in Statistics
    • STA 408: Design and Analysis of Experiments II
    • Bayesian Inference and Decision Theory
  • ODeL

      • Course info

      PRINCIPLES OF ANIMAL NUTRITION SEM 2 20212022

      • Teacher: Salome Atieno Migose

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