Semester: 2022 - 2023 FALL
Instructor: Dr. Inst. Emre SERMUTLU
Room: R - 201
Office Hours: Monday 13:20-15:10
Course Description: Introduction to R, Axioms of Probability, Events, Conditional Probability, Independence, Bayes’ Rule, Random Variables, Joint Random Variables, Mathematical Expectation, Discrete Random Variables: Binomial, Hypergeometric, Negative Binomial, Geometric and Poison Distribution, Continuous Random Variables: Normal, Gamma and Exponential Distribution, Sampling Distributions, Central Limit Theorem, Regression, Correlation, Model Building.
Textbooks: Douglas C. Montgomery - George C. Runger, Applied Statistics and Probability for Engineers, 7th Edition, Wiley 2019, ISBN: 978-1119570615
Tilman M. Davies, The Book of R: A First Course in Programming and Statistics, No Starch Press 2016, ISBN: 978-1593276515
Reference Books: G. Jay Kerns, Introduction to Probability and Statistics Using R, 3rd edition, GNU Public License 2018, ISBN: 978-17263439
Evaluation Criteria:
- First Midterm: %20
- Second Midterm: %20
- Quiz %20
- Final %40
Exam Dates:
- First Midterm: 08.11.2022, Tuesday, 17:30.
- Second Midterm: 13.12.2022, Tuesday, 17:30.
- Midterm Make Up: 06.01.2023, Friday, 10:00.
- Final: 12.01.2023, Thursday, 10:00.