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Statistics Part 1

Von David Spade, PhD

Statistics is the study of data, including how it is manipulated to draw useful conclusions through its gathering, analysis, and review. Statistics are present in almost every department of every organization, and are applicable to nearly every field of study. In this course, you’ll learn basic statistical concepts such as data standardization, linear regression analyses, comparing data distributions, and generating probability models.


  • Enthaltene Vorträge: 14
  • Laufzeit: 4:01 h
  • Enthaltene Quizfragen: 121
  • Enthaltene Lernmaterialien: 14

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Dozenten des Kurses Statistics Part 1

 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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Table and explanation visible at the same time
von Cassandra W. am 10. März 2024 für Probability Models

I think it would’ve been easier to follow if the table that he’ refers to is visible at the same time he’s giving the explanation..

von Hau P. am 13. Oktober 2021 für Statistics Part 1

Great video with easy explanation The good page for learning

von Mohamad A. am 13. September 2021 für Summarizing Quantitative Variables

The explanation is smooth and clear. However, I think it would have been better if the common sense behind the formulas (especially the standard deviation) was explained in more detail so we can understand how the formulas work a little more deeply.

I like it
von Mohamad A. am 30. August 2021 für Statistics Part 1

The explanation is really good and entertaining. Some points require more different examples to be better understood.