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