UC BerkeleyX: STAT2.1x: Introduction to Statistics: Descriptive Statistics

School: UC BerkeleyX
Course Code: STAT2.1x
Classes Start: 20 Feb 2013
Course Length: 4 weeks

Prerequisites:

High School Arithmetic

Introduction to Statistics: Descriptive Statistics

An introduction to descriptive statistics, emphasizing critical thinking and clear communication.

About this Course

*Note - This is an Archived course*

This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of this course may not be active, but many people enjoy watching the videos and working with the materials. Make sure to check for reruns of this course.

We are surrounded by information, much of it numerical, and it is important to know how to make sense of it. Stat2x is an introduction to the fundamental concepts and methods of statistics, the science of drawing conclusions from data.

The course is the online equivalent of Statistics 2, a 15-week introductory course taken in Berkeley by about 1,000 students each year. Stat2x is divided into three 5-week components. Stat2.1x is the first of the three.

The focus of Stat2.1x is on descriptive statistics. The goal of descriptive statistics is to summarize and present numerical information in a manner that is illuminating and useful. The course will cover graphical as well as numerical summaries of data, starting with a single variable and progressing to the relation between two variables. Methods will be illustrated with data from a variety of areas in the sciences and humanities.

There will be no mindless memorization of formulas and methods. Throughout Stat2.1x, the emphasis will be on understanding the reasoning behind the calculations, the assumptions under which they are valid, and the correct interpretation of results.

Simply Audit this Course

Can't commit to all of the lectures, assignments, and tests? Audit this course and have complete access to all of the course material, tests, and the online discussion forum. You decide what and how much you want to do.

Course Staff

• Ani Adhikari

Ani Adhikari, Senior Lecturer in Statistics at UC Berkeley, has received the Distinguished Teaching Award at Berkeley and the Dean's Award for Distinguished Teaching at Stanford University. While her research interests are centered on applications of statistics in the natural sciences, her primary focus has always been on teaching and mentoring students. She teaches courses at all levels and has a particular affinity for teaching statistics to students who have little mathematical preparation. She received her undergraduate degree from the Indian Statistical Institute, and her Ph.D. in Statistics from Berkeley.

• Philip B. Stark

Philip B. Stark is Professor of Statistics at University of California, Berkeley where he developed the university's first online course. He has published research on the Big Bang, causal inference, the census, earthquake prediction, election auditing, food web models, the geomagnetic field, geriatric hearing loss, information retrieval, Internet content filters, nonparametrics, the seismic structure of Sun and Earth, spectroscopy, spectrum estimation, and uncertainty quantification for computational models of complex systems. He has consulted for the U.S. Departments of Agriculture, Commerce, Housing and Urban Development, Justice, and Veterans Affairs; the Federal Trade Commission; the California and Colorado Secretaries of State; the California Attorney General; and the Illinois State Attorney. He has testified to Congress and the California legislature, and in litigation concerning employment, environmental protection, equal protection, lending, intellectual property, jury selection, import restrictions, insurance, natural resources, product liability, trade secrets, and advertising. He received his AB from Princeton University and his Ph.D. from UCSD.

Prerequisites

High School Arithmetic

What is the format of the class?

Instruction will be consist of brief lectures and exercises to check comprehension. Grades (Pass or Not Pass) will be decided based on a combination of scores on short assignments, quizzes, and a final exam.

How much does it cost to take the course?

Nothing! The course is free.

Will the text of the lectures be available?

Yes. All of our lectures will have transcripts synced to the videos.

Do I need to watch the lectures live?

No. You can watch the lectures at your leisure.

Can I contact the Instructor or Teaching Assistants?

Yes, but not directly. The discussion forums are the appropriate venue for questions about the course. The instructors will monitor the discussion forums and try to respond to the most important questions; in many cases response from other students and peers will be adequate and faster.

Do I need any other materials to take the course?

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