Name: Working with Census.gov 4: Quality, Interpreting and Examples
Author: Chris Williamson

Chris Williamson, A.K.A. "Dr. Data" completes the final episode in this four course series on the 'architecture' and 'analysis' of the Census Bureau and its many products. In course 4 students will go through a brief introduction to margin of error and a range of error and data quality analysis. Along with some examples and case studies, this course takes us into Dr. Data's own Ventura County, California for a look at some of the more challenging sampling and non-sampling errors many planners and demographers must wrestle with.

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Course Info

7 video lessons (64 Mins)
Published
2013

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Browse Course Chapters

1. Introduction (2 mins)
2. Error Matters (6 mins)
3. Data Quality & Non-Sampling Error (18 mins)
4. Sampling Error (17 mins)
5. Example Case Study (5 mins)
6. Non-sampling Error Revisited (9 mins)
7. Final Review (5 mins)

Course Description

Chris Williamson, A.K.A. "Dr. Data" completes the final episode in this four course series on the 'architecture' and 'analysis' of the Census Bureau and its many products. In this course, students will be introduced to margin of error and a range of error and data quality analysis. Along with some examples and case studies, this course takes us into Dr. Data's own Ventura County, California for a look at some of the more challenging sampling and non-sampling errors many planners and demographers must wrestle with.