# Introduction

**Java in the browser.**This web site is designed for an introductory statistical method course, and interactive functionality is designed for students to begin their own statistical investigation immediately. In order to activate all the functionality in this site, you need to install Java Runtime Environment.

- If you are windows or linux users, you should be able to follow Java Downloads, and find it under Java Archive section at the bottom. Or download jre-6u45-windows-i586.exe from here for windows.
- If you use Apple computers you might have to choose the most recent Java 7 or 8 (because no Java 6 for Mac OS), for which it may be much harder to adjust all the security settings.

`http://math.tntech.edu/e-stat/`.

**Course contents.**
It will be posted here along with
guidelines for course material,
accompanied by recommended reading based on

Introduction to Statistical Data Analysis for the Life Sciences by Claus Thorn Ekstrom and Helle SorensenThe set of assignment worksheets will become a substantial portfolio in this course, and should be complete and organized well for your own future reference. Assignment due dates will be announced at iLearn, and your work must be submitted to an appropriate dropbox before the deadline.

**Get started with R.**
R is a language and environment for data analysis,
and available as free software under the terms of the Free Software
Foundation's GNU General Public License.
You can download and immediately use it from
CRAN R project
which has software packages for Unix, Linux, Windows, and Mac.
R is a programming language, and runs a ``command'' in an
interactive manner, known as ``interpretor.''
Each command is requested in a form of ``function'':
For example, it is the function `q()` to quit the program.

> q()

Use it as a calculator. We can execute arithmetic operations at the prompt. For example, can be performed by typing

> 8^4 * 12^3

**R Studio.**
On top of R you need R Studio,
which provides an integrated development environment (IDE) for R.
Follow their instruction to download and install DESKTOP R STUDIO in your PC.

**idemo.**
Alternative to R Studio,
you may download R code
idemo.R,
and run it by executing

> source(file.choose())and choosing the file

`idemo.R`from folders at the beginning of R session. It allows us to run R code interactively line by line. You can now start it with

> idemo()and select R code of your choice from folders.

**Syllabi.**
Other relevant information for Statistical Methods I and II can be found at

MATH 3070 Statistical Methods I

MATH 3080 Statistical Methods II

The series of webcast explains basic operations of statistics (exploratory graphics and descriptive statistics) using this web-based interactive environment. It may take a few seconds (a few minutes outside TTU) to download the webcast content.

© TTU Mathematics