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# Syllabus

Lecture Notes

Week 1: Introduction (zoom s1, s2)

Week 2: Sampling (zoom s1, s2, s3)

Week 3: Observational/Experiment/Describing Data Graphically (zoom s1, s2, s3)

Week 4: Describing Data Graphically/Numerically (zoom s1, s2, s3)

Week 5: Describing Data Numerically (2) (zoom s1, s2, s3)

Week 6: Describing Data Numerically (3) (zoom s1, s2, s3)

Week 7: Probability (1) (zoom s1, s2, s3)

Week 8: Midterm Exam

Week 9: Probability (2) (zoom s1, s2, s3)

Week 10: Discrete Probability Distributions (1) (zoom s1, s2, s3)

Week 11: Discrete Probability Distribution (2) (zoom s1, s2, s3)

Week 12: Discrete Probability Distribution (3)/Continuous Probability Distribution (zoom s1-1,s1-2, s2, s3)

Week 13: Continuous Probability Distribution (zoom s1, s2, s3)

Week 14: Continuous Probability Distribution (2) (zoom s1, s2, s3)

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!)**