| 1 |
Reading |
Basic concepts, data collecting tools, arranging and presenting data |
Lecture & Question Answer & Problem-Solving Method |
| 2 |
Reading |
Factorial, Permutation, Combination, Sets, Sample Space |
Lecture & Question Answer & Problem-Solving Method |
| 3 |
Reading |
Independent Events: Probability Axioms |
Lecture & Question Answer & Analysis |
| 4 |
Reading |
Conditional Probability |
Lecture & Question Answer & Analysis |
| 5 |
Reading |
Bayes Theorem |
Lecture & Question Answer & Analysis |
| 6 |
Reading |
Random variables: discrete, continuous, two-dimensional variables. Variance expected value |
Lecture & Question Answer & Analysis |
| 7 |
Reading |
Statistical distribution: Bernoulli, Binomial, |
Lecture & Question Answer & Analysis |
| 8 |
- |
MID-TERM EXAM |
- |
| 9 |
Reading |
Geometric distribution, Negative Binomial, Hypergeometric (variance and expected values) |
Lecture & Question Answer & Analysis |
| 10 |
Reading |
Continuous Distribution in Statistics |
Lecture & Question Answer & Analysis |
| 11 |
Reading |
Normal, Poisson Curves Functions |
Lecture & Question Answer & Analysis |
| 12 |
Reading |
Normal Distribution Moment |
Lecture & Question Answer & Analysis |
| 13 |
Reading |
Arranging statistical data and analysis |
Lecture & Question Answer & Analysis |
| 14 |
Reading |
Hypothesis in statistics (principal tests, practices) |
Lecture & Question Answer & Analysis |
| 15 |
Reading |
Regression and correlation: least squares estimation, Variance Analysis |
Lecture & Question Answer & Analysis |
| 16 |
- |
FINAL EXAM |
- |
| 17 |
- |
FINAL EXAM |
- |