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Statistics Part 2

By David Spade, PhD

Statistics is the idea that we can glean useful insights from large datasets, such as of objects or events, by studying the properties and characteristics of a smaller subset of similar objects or events (a sample). In many cases, gathering comprehensive data about an entire population is too costly, difficult, or flat-out impossible, so statisticians start with a sample that can be conveniently or affordably observed. To analyze such data, certain tools are needed. This course describes additional statistical concepts that are useful for working with more-complex data and reaching more-interesting conclusions with your analysis (e.g., confidence intervals, comparing proportions and means, analyzing categorical data, and hypothesis testing).


  • Included lectures: 10
  • Duration: 2:09 h
  • Included quiz questions: 72
  • Available documents: 10

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Authors of course Statistics Part 2

 David Spade, PhD

David Spade, PhD

Dr. David Spade is an Assistant Professor of Mathematical Sciences and Statistics at the University of Wisconsin-Milwaukee and holds a courtesy appointment as an Assistant Professor of Statistics at the University of Missouri-Kansas City, USA.
He obtained his MS in Statistics in 2010 and then completed his PhD in Statistics from Ohio State University in 2013.
An experienced mathemathics instructor, Dr. Spade has been teaching diverse statistics courses from the introductory to the graduate level since 2007.
Within Lecturio, he teaches courses on Statistics.

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Very thorough
By Sana Q. on 28. August 2020 for Statistics Part 2

I especially enjoyed the examples, they cleared up concepts far faster than brute memorisation could