Introduction to Statistics 1: Sampling and Inference

“Introduction to Statistics 1: Sampling and Inference” provides an introduction to statistical inference for a single variable. Once you have completed this course you will be able to apply statistically valid designs to basic studies, and test hypotheses regarding proportions and means. Dr. Michelle Everson will present his online course, “Introduction to Statistics 1: Sampling and Inference” at statistics.com. For more details please visit at http://www.statistics.com/introstats1.

The instructor, Dr. Michelle Everson is currently a Senior Lecturer in the Department of Educational Psychology at the University of Minnesota.  She completed a Bachelor’s degree in Industrial Psychology from California State University, Hayward and a Master’s degree in Experimental Psychology from San Jose State University before coming to the University of Minnesota to pursue a Ph.D. in Educational Psychology.  Since obtaining her Ph.D. in 2002, Michelle has been teaching introductory and intermediate statistics courses, and she also teaches a course called "Becoming a Teacher of Statistics." Michelle is particularly interested in distance education and in ways to actively engage students in online learning environments.  Michelle is the recipient of the University of Minnesota College of Education and Human Development’s 2009 Distinguished Teaching Award and the 2011 recipient of the American Statistical Association (ASA) Waller Education Award.

Aim of Course:

To provide an introduction to statistical inference for a single variable. Once you have completed this course you will be able to apply statistically valid designs to basic studies, and test hypotheses regarding proportions and means.

Note: This is the second of a four-course sequence in Introductory Statistics.

Who Should Take This Course:

Anyone who encounters statistics in their work, and anyone who needs introductory statistics for further study. 

Course Program:

Course outline: The course is structured as follows

 

SESSION 1:  Sampling and Sampling Distributions

• Sample surveys
• Point estimates
• Sampling distributions for means and proportions
• Resampling
• Formula equivalents to resampling

 

SESSION 2: Confidence Intervals for Proportions and Means

• Confidence intervals for means
• Confidence intervals for proportions
• Confidence intervals for differences

 

SESSION 3: Hypothesis Tests

• Confidence intervals vs. hypothesis tests
• Paired comparisons
• Departure from expectation
• Chi-squared test
• Null and alternative hypotheses
• One-tail, two-tail tests

You will be able to ask questions and exchange comments with the instructors via a private discussion board throughout the course.   The courses take place online at statistics.com in a series of 4 weekly lessons and assignments, and require about 15 hours/week.  Participate at your own convenience; there are no set times when you must be online. You have the flexibility to work a bit every day, if that is your preference, or concentrate your work in just a couple of days.

For Indian participants statistics.com accepts registration for its courses at special prices in Indian Rupees through its partner, the Center for eLearning and Training (C-eLT), Pune (www.c-elt.com).

For India Registration and pricing, please visit us at www.india.statistics.com.

If you have any query please feel free to call me or write to me. 

For More details contact at

Email: info@c-elt.com

Call: 020 66009116

Websites:

www.india.statistics.com

www.c-elt.com