Learn Statistics - Become Data Smart

Learn Statistics - Become Data Smart

by David Spade, PhD

Statistics: Basic and advanced principles

David Spade did his Ph. D. in statistics, thereby gaining great knowledge in this specific field. In this course he assists students of economics in mastering fundamental and advanced concepts.

Included are elements such as comparing distributions, probability, confidence intervals for proportions and the comparing of two means.

He also addresses the following topics:

  • Contingency tables
  • Linear regression
  • Sampling distributions for proportions and means
  • Hypothesis tests

Course Details

  • Videos 24
  • Duration 6:11 h
  • Quiz questions 193
  • Articles 16

Content

Your Educators of course Learn Statistics - Become Data Smart

 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

(22)
4,3 of 5 stars
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It wasn't bad
By Zenya B. on 19. July 2021 for Statistics Part 1

Straight forward way of teaching however he has a monotone personality

 
CONFUSING
By Michalis N. on 11. November 2020 for Summarizing Quantitative Variables

Its Pretty confusing. Ofc I am a person I ve never had any experience with statitics but during the lecture is so easy to lose pace. Lecture number 1 was easier to get because of the Age-Education as paradigm instead of soulless numbers.! In addition its really confusing when the examples are made with data from the previous slide, witch you dont see any more but you require it to proceed.

 
Length of the videos
By Ariel B. on 09. October 2020 for Statistics Part 1

Lecture are a bit too long... Probably better to separate it to more but shorter videos

 
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