# Introduction To Statistics

This is a graduate level course being offered at the Department of Statistics of Indiana University. I took this course on Spring 2012 with Prof. Michael W. Trosset The following is a compilation of my solutions to the assignments given in class. All assignments are from the Prof. Michael Trosset's book An Introduction to Statistical Inference and Its Applications with R (Chapman & Hall/CRC Texts in Statistical Science), (you can also check the book's webiste) which I highly recommend for beginners in Statistics and Probability.

## Assignments

- Assignment 1 solution
- Assignment 2 solution
- Assignment 3 solution
- Assignment 4 solution
- Assignment 5 solution
- Assignment 6 solution
- Assignment 7 solution
- Assignment 8 solution
- Assignment 9 solution
- Assignment 10 solution
- Assignment 11 solution
- Assignment 12 solution

## R Code

The following is a compilation of resources I found useful while taking the course and thinking about this subject. In this course we relied heavily in the use of R: a free software environment for statistical computing and graphics. I wrote some small programs in R:

- Urn model - a simple urn model with replacement. See also: sample function.