Comparing Distributions
Über den Vortrag
Der Vortrag „Comparing Distributions“ von David Spade, PhD ist Bestandteil des Kurses „Statistics Part 1“. Der Vortrag ist dabei in folgende Kapitel unterteilt:
- Comparing Distributions
- Side-by-Side Comparisons
- Data Transformation
Quiz zum Vortrag
When we compare multiple groups using histograms, what information can we get?
- We can determine whether the distributions have different numbers of modes.
- We can determine the exact distribution of data points.
- We can evaluate categorical variables.
- We cannot evaluate continuous data.
- We can visualize symmetric data but we cannot visualize bimodal data.
When we compare two groups using side-by-side box plots, what information about the two distributions is hidden?
- We cannot tell whether one distribution has more modes than the other.
- We cannot tell whether the distributions are centered in different places.
- We cannot tell whether one distribution has a higher spread than the other.
- We cannot tell whether there are outliers in any distribution.
- We cannot tell the range of data.
What is one problem with skewed data?
- It can be difficult to summarize their distribution using center and spread.
- They cannot be summarized using a box plot.
- They cannot be summarized using a histogram.
- It is not possible to calculate the mean.
- It is not possible to calculate the standard deviation.
What is a common way to make skewed data more symmetric?
- Skewed data are often made more symmetric by transforming them using the natural logarithm.
- Skewed data is often made more symmetric by discarding the observations in the tail.
- Skewed data is often made more symmetric by multiplying each observation by a constant.
- If data is skewed, there is no way to make them more symmetric.
- Skewed data are made more symmetric by adding a constant to each data point.
Which of the following makes comparison of distributions difficult?
- Comparing distributions is more difficult if the two data sets are not on the same scale.
- Comparing distributions is challenging if there are a different number of data points between the data sets.
- Comparing distributions is made more difficult by ignoring outliers altogether
- Comparing distributions is made more difficult when both distributions have the same center and spread
- Comparing distributions is more challenging with smaller data sets.
Dozent des Vortrages Comparing Distributions
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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