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Comparing Distributions

by David Spade, PhD
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      Foliensatz 04 Chapter Comparing Distributions Spade.pdf
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    About the Lecture

    The lecture Comparing Distributions by David Spade, PhD is from the course Statistics Part 1. It contains the following chapters:

    • Comparing Distributions
    • Side-by-Side Comparisons
    • Data Transformation

    Included Quiz Questions

    1. We can determine all of the things listed in answer a, b and c.
    2. We can determine whether the distributions have different numbers of modes.
    3. We can determine whether one distribution is more symmetric than the other.
    4. We can determine whether the distributions are centered in different places.
    1. We cannot tell whether one distribution has more modes than the other.
    2. We cannot tell whether the distributions are centered in different places.
    3. We cannot tell whether one distribution has higher spread than the other.
    4. We cannot tell whether there are outliers in any distribution.
    1. It can be difficult to summarize their distribution using center and spread.
    2. They cannot be summarized using a boxplot.
    3. They cannot be summarized using a histogram.
    4. It is not possible to compute their mean and standard deviation.
    1. Skewed data are often made more symmetric by transforming them using the natural logarithm.
    2. Skewed data is often made more symmetric by discarding the observations in the tail.
    3. Skewed data is often made more symmetric by multiplying each observation by a constant.
    4. If data is skewed, there is no way to make them more symmetric.
    1. Comparing distributions is more difficult if the two data sets are not on the same scale.
    2. Labeling plots clearly makes comparison of distributions difficult.
    3. Comparing distributions is made more difficult by ignoring outliers altogether.
    4. Comparing distributions is made more difficult when both distributions have the same center and spread.

    Author of lecture Comparing Distributions

     David Spade, PhD

    David Spade, PhD


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