This course exposes students to the fundamental principles and applications of statistics and operations research. It covers descriptive statistics, sampling techniques, data presentation, measures of central tendency and dispersion, probability, and hypothesis testing. Students will also learn about correlation, regression analysis, linear programming, transportation problems, games theory, network analysis, and simulation. The course aims to equip students with the knowledge and skills necessary for data analysis and optimization in organizations.
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Everything you need to know about this course
Key areas covered in this course
No specific requirements needed
This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.
How your progress will be evaluated (3 methods)
Comprehensive evaluation of course material understanding
Comprehensive evaluation of course material understanding
Comprehensive evaluation of course material understanding
Explore the career paths this course opens up for you
Apply your skills in this growing field
Apply your skills in this growing field
Apply your skills in this growing field
Apply your skills in this growing field
Apply your skills in this growing field
Real-world sectors where you can apply your knowledge
Expert tips to help you succeed in this course
Review all key definitions and formulas from each unit.
Practice solving numerical problems from the TMAs and examples in the course material.
Create concept maps linking statistical concepts (e.g., central tendency, dispersion, probability).
Focus on understanding the assumptions and limitations of each statistical test.
Practice formulating linear programming problems and solving them graphically.
Review the steps involved in hypothesis testing and decision-making.
Allocate study time proportionally to the weight of each module in the final examination.