+ chapter 1 section 2 by abby chopoorian and morgan smith
TRANSCRIPT
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Chapter 1 Section 2
By Abby Chopoorian and Morgan Smith
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+Dotplots
A dotplot is one of the simplest graphs to construct and interpret.
Each data value is shown as a dot above its location on a number line
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+How to Cuss
C- center: describe the center of the graph (mean or median)
U-unusual: describe any unusual observations such as outliers
S-shape: describe the shape of the graph (right skewed, left skewed, symmetric)
S-spread: describe the range of the graph
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+Comparing Distributions
ALWAYS use comparing words (greater than, less than, equal to)
Use all points of CUSS to compare two distributions.
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+Stemplots
A stemplot is another simple graphical display for relatively small data sets.
How to make a stemplot: Separate each observation into a stem (all but the final digit) and
a leaf (the final digit). Write the stems in a vertical column with the smallest at the top,
and draw a vertical line to the right of the column Do not skip any stems even if there is no data value for a
particular stem Write each leaf in a row to the right of its stem on the other side
of the vertical line Arrange the leaves in increasing order out from the stem Provide a key that explains in context what the stem and leaves
represent
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+Stemplot
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+Histograms
A histogram is the most common graph of the distribution of one quantitative variable
How to make a histogram: Divide the range of the data into classes of equal width. Find the frequency or relative frequency of individuals in
each class. Label and scale your axes and draw the histogram.
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+Histogram
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+Study Tips
The best way to study these graphs is to practice making them.
It could be beneficial to take a set of data and plot it on these different graphs to practice.
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