| 1 |
Reading |
Introduction to Statistics: Definition, Basic Concepts, Data Collection and Summarization |
Lecture, Q. & A. |
| 2 |
Reading |
Population and Sample, Data Presentation and Graphical Summaries, Frequency Distribution |
Lecture, Q. & A. |
| 3 |
Reading |
Data Visualization Methods, Measures of Central Tendency |
Lecture, Q. & A. |
| 4 |
Reading |
Sampling Distributions, Standard Deviation |
Lecture, Q. & A. |
| 5 |
Reading |
Independent Events and Probability Axioms |
Lecture, Q. & A. |
| 6 |
Reading |
Conditional Probability |
Lecture, Q. & A. |
| 7 |
Reading |
Discrete Probability Distributions (Binomial, Poisson, etc.) |
Lecture, Q. & A. |
| 8 |
Reading |
Continuous Probability Distributions (Normal, t, χ², F, etc.) |
Lecture, Q. & A. |
| 9 |
Reading |
Bayes’ Theorem and Statistical Interpretations |
Lecture, Q. & A. |
| 10 |
- |
MID-TERM EXAM |
- |
| 11 |
Reading |
Confidence Intervals: Definition, 95% Confidence Intervals, Confidence Interval for Sample Means |
Lecture, Q. & A. |
| 12 |
Reading |
Applied Data Analysis: Introduction to Confidence Intervals and Hypothesis Testing |
Lecture, Q. & A. |
| 13 |
Reading |
Applied Case Studies and Sample Problem Solving |
Lecture, Q. & A. |
| 14 |
Reading |
General Review, Applications and Project/Assignment Evaluation |
Lecture, Q. & A. |
| 15 |
Reading |
General Review, Applications and Project/Assignment Evaluation |
Lecture, Q. & A. |
| 16 |
- |
FINAL EXAM |
- |
| 17 |
- |
FINAL EXAM |
- |