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ments Learnosity: Ch3_Concept_8_v2 Relative frequency histograms are useful because they allow you to more easily compare distributions across samples of different sizes. In R, it is easier to use a measure called density instead of proportion, and density works better for continuous variables. It's not exactly the same as a proportion, but it's close enough. It will still range from 0.0 to 1.0, and the interpretation is similar. To create density histograms instead of frequency histograms, use a slightly modified function, gf_dhistogram(), such as in the code window below. Run the code below to create a density histogram of the Age variable from MindsetMatters. Then add the code to produce a basic frequency histogram of the same variable. # This will create a relative frequency histogram of Age gf_dhistogram(~ Age, data = MindsetMatters, fill = "coral2") # Add code below to create a frequency histogram of Age Run Submit Ready. G Res CK

          ments
Learnosity: Ch3_Concept_8_v2
Relative frequency histograms are useful because they allow you to more easily compare distributions across samples of
different sizes. In R, it is easier to use a measure called density instead of proportion, and density works better for continuous
variables. It's not exactly the same as a proportion, but it's close enough. It will still range from 0.0 to 1.0, and the interpretation
is similar.
To create density histograms instead of frequency histograms, use a slightly modified function, gf_dhistogram(), such as in
the code window below. Run the code below to create a density histogram of the Age variable from MindsetMatters. Then add
the code to produce a basic frequency histogram of the same variable.
# This will create a relative frequency histogram of Age
gf_dhistogram(~ Age, data = MindsetMatters, fill = "coral2")
# Add code below to create a frequency histogram of Age
Run Submit Ready.
G
Res CK

ments
Learnosity: Ch3Concept8v2
Relative frequency histograms are useful because they allow you to more easily compare distributions across samples of
different sizes. In R, it is easier to use a measure called density instead of proportion, and density works better for continuous
variables. It's not exactly the same as a proportion, but it's close enough. It will still range from 0.0 to 1.0, and the interpretation
is similar.
To create density histograms instead of frequency histograms, use a slightly modified function, gfdhistogram(), such as in
the code window below. Run the code below to create a density histogram of the Age variable from MindsetMatters. Then add
the code to produce a basic frequency histogram of the same variable.
# This will create a relative frequency histogram of Age
gfdhistogram( Age, data = MindsetMatters, fill = "coral2")
# Add code below to create a frequency histogram of Age
Run Submit Ready.
G
Res CK

Added by Ruben H.

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