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Broad overview of the goals, assumptions, and modes of statistical inference. Can perform inferential tasks in highly targeted settings and are able to use the skills developed for more complex …

Broad overview of the goals, assumptions, and modes of statistical inference. Can perform inferential tasks in highly targeted settings and are able to use the skills developed for more complex inferential challenges.

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  • 1. coursera.org Statement of Accomplishment WITH DISTINCTION AUGUST 13, 2014 DOM FERNANDEZ HAS SUCCESSFULLY COMPLETED THE JOHNS HOPKINS UNIVERSITY'S OFFERING OF Statistical Inference Students receive a broad overview of the goals, assumptions, and modes of statistical inference. Successful students can perform inferential tasks in highly targeted settings and are able to use the skills developed for more complex inferential challenges. BRIAN CAFFO, PHD, MS DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH JEFFREY LEEK, PHD DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH ROGER D. PENG, PHD DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH PLEASE NOTE: THE ONLINE OFFERING OF THIS CLASS DOES NOT REFLECT THE ENTIRE CURRICULUM OFFERED TO STUDENTS ENROLLED AT THE JOHNS HOPKINS UNIVERSITY. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT THE JOHNS HOPKINS UNIVERSITY IN ANY WAY. IT DOES NOT CONFER A JOHNS HOPKINS UNIVERSITY GRADE; IT DOES NOT CONFER JOHNS HOPKINS UNIVERSITY CREDIT; IT DOES NOT CONFER A JOHNS HOPKINS UNIVERSITY DEGREE; AND IT DOES NOT VERIFY THE IDENTITY OF THE STUDENT.