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Course Schedules |
Week |
Contents |
Learning Methods |
1. Week |
Why a Manager needs to know about statistics ,Why Data are needed? Sources of data , Types of data |
Lectures, computer lab., power-point presentations |
2. Week |
Organizing numerical data, Tables and charts for numerical and categorical data, Using Microsoft Excel for Tables and Charts |
Lectures, computer lab., power-point presentations |
3. Week |
The Mean , Median , Mod and other measures of central tendency |
Lectures, computer lab., power-point presentations |
4. Week |
The Standart Deviation and other measures of dispersion, Using Microsoft Excel For Descriptive Statistics |
Lectures, computer lab., power-point presentations |
5. Week |
Probability and its Postulates,exercises |
Lectures, computer lab., power-point presentations |
6. Week |
Bayes’ Theorem , Probability distributions |
Lectures, computer lab., power-point presentations |
7. Week |
Discrete Random Variables, Binomal Distribution |
Lectures, computer lab., power-point presentations |
8. Week |
MIDTERM EXAM |
EXAM |
9. Week |
Poisson Distribution |
Lectures, computer lab., power-point presentations |
10. Week |
Continuous Random Variables and Normal Distribution |
Lectures, computer lab., power-point presentations |
11. Week |
Normal Distribution and applications |
Lectures, computer lab., power-point presentations |
12. Week |
Sampling Theory |
Lectures, computer lab., power-point presentations |
13. Week |
Confidence Interval, Exercises |
Lectures, computer lab., power-point presentations |
14. Week |
FINAL EXAM |
EXAM |
15. Week |
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16. Week |
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17. Week |
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