Introduction to Statistics 2: Working with Bivariate Data

Dr. Robert Hayden

Aim of Course:

To provide an easy introduction to inference for two variables through a series of practical applications. 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 second of a two course sequence, part one being Introduction to Statistics 1: Inference for a Single Variable.

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.

Who Should Take This Course:

Anyone who encounters statistics in their work. The only mathematics you need is arithmetic (see below for basic prerequisites).

Course Program:

The course is structured as follows

The Instructor:

Dr. Robert Hayden has been teaching statistics since 1982, and is a recognized authority on the teaching of introductory statistics. He has published articles on this subject in The American Statistician, the MAA Notes series, and elsewhere. He has received a national award from high school statistics teachers for his online guidance to AP Statistics teachers, something he has been doing since 1996 on the AP Statistics listserv. Dr. Hayden has also had careers in mechanical engineering and mathematics education, with publications that have included high school mathematics textbooks, articles on the thermopysical properties of aerospace alloys, articles on training high school mathematics teachers to teach statistics, and more.

Organization of the Course:

The course takes place over the internet, at statistics.com. 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 is scheduled to take place over 3 weeks, and typically requires 10-15 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 and work through exercises. Discussion among participants is encouraged. The instructor will provide answers and comments.

Certificates and Grades:

You may be interested only in learning the material presented, and not be concerned with grades or certificates. Or you may be seeking college credit (via the ACE College Credit Recommendation Service), in which case your work will be assessed for purposes of issuing a grade. Or you may require only a "Certificate of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's). As you begin the class, you will be asked to specify your category.

Credit:

Academic credit is available via the American Council on Education (ACE) Credit Recommendation Service for this course, when taken together with Introduction to Statistics 1 (3.0 semester hours for the two together). Click here for details. This course also offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 3.75 CEU's and a certificate will be issued by statistics.com, upon request.

Dates:

Nov. 6 - Nov. 27, 2009
Jan. 8 - Jan. 29, 2010
Click here to be notified of future course offerings.

Participants gain access to the online materials on the first day of the course, and typically spend about 10-15 hours per week (at their convenience). You retain full access to course materials, including discussion board, for two weeks after the course closing date.

Level:

Novice/Refresher

Prerequisite:

Participants should be familiar with the material in Introduction to Statistics 1.

Course Text:

The course text is the same text as in Introduction to Statistics 1 --Stats: Data and Models, by De Veaux, Velleman and Bock, with ActivStats CD. You must purchase it directly from the publisher here (if you buy it elsewhere, it may not come with a valid copy of ActivStats).

Addison Wesley/Pearson offers a 15% discount on this book (and all other statistics titles): enter the code STATSMPS in the Promotion Code field when prompted during checkout and click the Apply Discount button. Questions about US orders use this phone number (800-947-7700) to contact Pearson.

Special note for Canadian customers: If you are located in Canada, place your order on myPearsonStore.ca site. Unfortunately, the publisher does not currently extend this discount to Canada (you might try requesting this from the publisher's Canadian office directly). The offer for free shipping applies only to orders shipping within the US. The US website will not let you choose "Canada" as a ship-to country.

Please order your text in time to have it in hand by the course starting date!

Software:

Students should have access to a software package that can perform basic statistical analysis. A variety of affordable options are available--Click here for our general advice about the suitability of various popular software packages.

Registration:

Register Online - $349
Register Online (academic) - $279 (you must be affiliated with a college, university or high school)

Note: See our Introduction to Statistics course packages to save money on Introduction to Statistics for Beginners, Introduction to Statistics 1, Introduction to Statistics 2 and Introduction to Statistics 3.

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.

Note: Courses may fill up at any time and registrations are processed in the order in which they are received. When a course is marked "full" above your registration will be applied to the next available course date.

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