Intro Stats Preview

Introductory Statistics for Credit - a 1 week preview

Slides from the video

Aim of Course:

After taking this one-week course, you will be able to 

  • Specify statistically-valid designs for basic studies
  • Calculate metrics of location, variation and distance
  • Deal with data in different formats
  • Explain the use of hypothesis testing in assessing the role of chance
  • Explain statistical signfiicance

This course covers a selection of materials from Statistics 1, and in addition to introducing the above topics is intended as a preview and illustration of how courses operate at  No background, other than some experience with Excel, is necessary. 

FREE: Our 1-week preview covers study design, measures of central tendency and variability, histograms, boxplots and introduces statistical inference using resampling (the computer equivalent of flipping coins and drawing numbers from a hat). Readings, videos, exercises, and interaction with instructors. Sign up here and we will send details and a code for a full waiver of the $99 course fee.
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Course Program:

WEEK 1:  Study Design, Statistical Significance

  • Intro, Study Design
  • Measures of Central Location and Variability
  • Distance
  • Data Format
  • Variables
  • Graphs
  • Null Hypothesis
  • Resampling
  • Normal Distribution
  • Significance

Homework in this course consists of short answer problems, and includes exercises that require the use of computer software.

This course also has supplemental readings available online and video illustrations.


Intro Stats Preview

Who Should Take This Course:
Those wishing a brief introduction to key statistical concepts, and anyone considering taking a course at who wants to know how our courses operate.
Basic arithmetic, some exposure to Excel, and a willingness to learn new software.
Organization of the Course:Options for Credit and Recognition:
Course Text:
Course materials included - no additional cost.

This is a 1-week course and we have designed it so that you can complete most of this course and answer most of the exercises without using software.  On the other hand, software is an essential part of statistical work, so the use of software is discussed in the readings and exercises.  If you want to use software, here are the details:

We recommend one of these 3 options:

  1. Regular Excel (not Excel Starter) and Box Sampler
  2. Regular Excel (not Excel Starter) and Resampling Stats for Excel
  3. StatCrunch
  4. R

Excel: you will need to have some facility with using formulas in Excel. If you don't, please review either this tutorial or 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.  Installation file is here, documentation here.

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 sequence of introductory statistics courses. Runs only on Windows. Enrolled students will be given access to a free 1-year trial of Resampling Stats through the software download link on the main Stats course webpage.  You can also visit the Resampling Stats website and download the 1-year trial here.

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.  Learn more at

NOTE for StatCrunch Users:  On all platforms, we recommend that you use the New version of StatCrunch.  All examples in the textbook supplement are based on the New version of StatCrunch.

R: R is a powerful opensource statistical scripting language that is widely recognized as an industry standard.  You will need to have familiarity with R and RStudio prior to taking the Statistics 1, 2 or 3 courses if you choose to use R as your software package.  Comprehensive supplemental materials are available for R users.  You can learn more about R hereand RStudio here.



April 19, 2019 to April 26, 2019

Intro Stats Preview


April 19, 2019 to April 26, 2019

Course Fee: $99

Do you meet course prerequisites? What about book & software? (Click here to learn more)

We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

Group rates: Click here to get information on group rates. 

First time student or academic? Click here for an introductory offer on select courses. Academic affiliation?  You may be eligible for a discount at checkout.

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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.

The Institute for Statistics Education is certified to operate by the State Council of Higher Education in Virginia (SCHEV).

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