Summarizing Quantitative Variables von David Spade, PhD

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Über den Vortrag

Der Vortrag „Summarizing Quantitative Variables“ von David Spade, PhD ist Bestandteil des Kurses „Statistics Part 1“. Der Vortrag ist dabei in folgende Kapitel unterteilt:

  • Summarizing Quantitative Variables
  • Stem and Leaf Plots
  • Shape of a Distribution
  • Interquartile Range
  • Example: Making a Boxplot
  • How we describe Quantitative Variables

Quiz zum Vortrag

  1. A histogram can be used to summarize the distribution of a quantitative variable
  2. A bar chart can be used to summarize the distribution of a quantitative variable
  3. A contingency table can be used to summarize the distribution of a quantitative variable
  4. A pie chart can be used to summarize the distribution of a quantitative variable
  1. We look for all of the things described in Answer a, b and c when describing a distribution of a quantitative variable
  2. We do not look at the shape of the distribution
  3. We do not look for the center of the distribution
  4. We do not look for the spread of the distribution
  1. The upper whisker of a box plot always ends at the maximum, and the lower whisker of a box plot always ends at the minimum.
  2. The width of the box gives the interquartile range
  3. The line in the middle of the box gives the value of the median
  4. A box plot hides the number of modes in the distribution
  1. We typically use the mean and the standard deviation to describe the center and spread of a symmetric distribution
  2. We typically use the five-number summary to describe a symmetric distribution
  3. We typically use the median and the interquartile range to describe the center and spread of a symmetric distribution
  4. We typically use the median and the range to describe the center and spread of a symmetric distribution
  1. Multimodal
  2. Unimodal
  3. Bimodal
  4. Nomodal
  5. Infinitymodal
  1. 17
  2. 12
  3. 16
  4. 19
  5. 23
  1. 16.5
  2. 12
  3. 16
  4. 17
  5. 19
  1. 15
  2. 17
  3. 12
  4. 8
  5. 18
  1. 11
  2. 10
  3. 12
  4. 13
  5. 14

Dozent des Vortrages Summarizing Quantitative Variables

 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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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.

 
CONFUSING
von Michalis N. am 11. November 2020 für 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.

 
He is explaining great
von Anton S. am 21. Januar 2017 für Summarizing Quantitative Variables

He is explaining great ! Little bit fast sometimes, but it is first time that i understand statistics.

 
Dr
von Warren L. am 15. Januar 2017 für Summarizing Quantitative Variables

Dr. Spade has a very practical way of explaining these concepts, without confusion. Much detail is provided and the process is smooth. Thanks Doc.