Flexible, affordable statistics education.
Designed to help you master the software you need to enhance your skills and the practical experience you need to get ahead.
Designed to help you master the software you need to enhance your skills and the practical experience you need to get ahead.

Introduction to Statistics 2: Inference and Relationships
The aim of this course is to provide an easy introduction to inference through a series of practical applications. Once you have completed this course you will be able to test hypotheses regarding a simple regression or a comparison of proportions or two means.
Instructor(s):Anyone who encounters statistics in their work, or will need introductory statistics for later study. The only mathematics you need is arithmetic (see below for basic prerequisites).
Dates:Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.
Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise. Multiple course registrations may be entitled to tuition discounts; read more.
Introduction to Statistics 2: Inference and Relationships
To provide an easy introduction to inference through a series of practical applications, using resampling (simulation) methods. Once you have completed this course you will be able to correctly analyze studies with paired data, and test hypotheses regarding a simple regression, a comparison of proportions or two means, or a contingency table with count data.
Note: This is the third of a four course sequence, part one being Intro Stats (beginner), and part two being Introduction to Statistics 1: Sampling and Inference.
Teaching statistics, especially AP statistics? The summer session of this course is especially suited to AP stats teachers who need to tune up their statistical skills.
Prerequisite(s):Introduction to Statistics 1 : Sampling and Inference
If you are unclear as to whether you have mastered the requirements, try these placement tests here.
This course takes place over the internet at the Institute for 3 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.
The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.
All reading materials will be provided online in PDF or other electronic format.
Software:Excel: you will need to have some facility with using formulas in Excel. If you don't, please review this tutorial before the course starts.
Box Sampler: this is a free add-in for Excel, designed as a visual teaching and learning tool for doing resampling simulations. Runs only on Windows.
Resampling Stats for Excel: this is a commercial add-in for Excel, designed as a practitioner's tool for doing resampling simulations. A free license is available to all course participants, while they are enrolled in the statistics.com sequence of introductory statistics courses. Runs only on Windows.
StatCrunch: this is a very affordable web-based statistical software program, which also has simulation and resampling capabilities. Runs over the web, so can be used with both Windows and Mac. Resampling is not as intuitive as with Box Sampler and Resampling Stats for Excel.
For a comprehensive listing of these and other programs, click here.
Introduction to Statistics 2: Inference and Relationships