Statistics Part 1

Statistics Part 1

by David Spade, PhD
(12)

Do the math: Statistics for business students

Are you a student of economics or in search of an extensive introduction into statistics?

David Spade did his Ph. D. in the Ohio State University, getting a specialist in the field. In this course he elaborates on major principles of statistics such as Contingency Tables, Normal Distribution or Probability.

Additionally, this course contains:

  • Standardizing Data
  • Linear Regression
  • Comparing Distributions
  • Random Variables

Course Details

  • Videos 14
  • Duration 4:01 h
  • Quiz questions 123
  • Articles 10

Content

Your Educators of course Statistics Part 1

 David Spade, PhD

David Spade, PhD

David Spade is in his second year as an Assistant Professor of Statistics at the University of Missouri—Kansas City. He earned his B.S. in Mathematics in 2006 from West Liberty University, his M.S. in Statistics from The Ohio State University in 2010, and his Ph.D. in Statistics from The Ohio State University in 2013. He has instructed a variety of statistics courses, ranging from the introductory level to graduate courses. He does research in the areas of Bayesian Statistics, Evolutionary Biology and Statistics Education.

User reviews

(12)
4,7 of 5 stars
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This lecture is the best.
By Arah G. on 06. June 2018 for Introduction to Statistics

This lecture is the best. I didn't struggle understanding the lesson.

 
Great Lecturer
By Curtis u. on 14. January 2018 for Introduction to Statistics

Clear and concise presentation. Questions follow the material as presented.

 
Standardizing Data and the Normal Distribution Part 2
By Lourdes K. on 20. October 2017 for Standardizing Data and the Normal Distribution Part 2

I learned a lot with this lecture. Really, I like the way of explanation. I will recommend this lecture to everybody who is really wanted to study statistics.

 
like
By Lourdes K. on 18. October 2017 for Contingency Tables

It is better than that I watched in other web site. I really recommend this lecture.

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