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Syllabus
Lecture Notes
Week 1: Introduction (ppt)
Week 2: Sampling (part1) (ppt) zoom part1, part2, part 3
Week 3: Sampling (part2) Experiment: zoom part1, part2, part3
Week 4: Experiment, Describing Data Graphically (part1): zoom part1, part2, part3
Week 5: Describing Data Graphically (part2), Describing Data Numerically (part1): zoom part1, part2, part3
Week 6: Describing Data Numerically (part2): zoom part1, part2, part3
Week 7: Describing Data Numerically (part2), Probability: zoom part1, part2, part3
Week 8: midterm exam
Week 9: Probability : zoom part1, part2, part3
Week 10: Probability (part2): zoom part1, part2, part3
Week 11: Discrete Probability Distribution part1: zoom part1, part2, part3
Week 12: Discrete Probability Distribution part2: zoom part1, part2, part3
Week 13: Discrete Probability Distribution part 3, Continuous Probability Distribution part1 (extra note 1, 2): zoom part1, part2, part3
Week 14: Continuous Probability Distribution part 2 (extra note) (zoom part1, part2, part3)
Week 15: Continuous Probability Distribution part 3 (zoom)
Quiz Questions
R Learning Tool: Sign up for the free R course at
https://www.datacamp.com/community/open-courses/statistical-inference-and-data-analysis
and self-teach the basic operations of R. You will be more comfortable with R program.\
Podcast: DataFramed (post cast by Datacamp) to learn something about the world of data science and scientists.
Practice Questions
Chapter 4: Questions - part 1, part 2, Answers-part1, part2
Chapter 5: Questions - part1, part2, Answers - part1, part2
R Homework
R related
*Download R program from http://www.r-project.org/
step1: set CRAN (anywhere is fine, just pick one)
step2: select R according to your PC
You can also download a package named "Rcmdr"
step1: set CRAN if you haven't done so
step2: select "Rcmdr" from the list of packages
step3: once downloaded, click "load packages" from Packages tab, then you should see the Rcmdr window pops up.
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After installing the latest R program, download R Studio.
References for R
Introduction to R Programming Course at Edx (It's FREE!)
R ile Uygulamalı Analiz Yöntemleri – I Murat Şirin (This one is also FREE!)
.