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STATS Module 2
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Cards (34)
Organizing
and Graphing Data
Explains how to organize and display data using tables and graphs
How to prepare frequency distribution tables for qualitative and quantitative data
How to construct bar graphs, pie charts, histograms, and polygons for such data
How to prepare stem-and-leaf displays
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Raw data
Data recorded in the sequence in which they are collected and before they are processed or ranked
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Quantitative raw data
Ages (in years) of 50 students selected from a university
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Qualitative
(or categorical) raw data
Status of 50 students (F, SO, J, SE)
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Ungrouped data
A data set that contains information on each member of a sample or population
individually
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Frequency distribution
A list of all categories and the number of
elements
that belong to each of these categories
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Relative frequency
Frequency of a category
divided
by the sum of all frequencies
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Percentage distribution
Relative frequency
multiplied by
100
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Graphical presentation of qualitative data
Bar
graph
Pareto
chart
Pie
chart
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Bar graph
A graph made of bars whose heights represent the
frequencies
of respective categories
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Pareto
chart
A
bar
graph with bars arranged by their
heights
in descending order
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Pie chart
A circle divided into portions that represent the
relative
frequencies or percentages of a
population
or a sample belonging to different categories
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Frequency distribution
for
quantitative
data lists all the classes and the number of values that belong to each class
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Class
width
The
difference
between the
lower
limits of two consecutive classes
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Class
midpoint
or mark
The average of the
lower
and
upper
limits of a class
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Constructing
frequency distribution
table
1. Determine number of classes
2. Calculate approximate class width
3. Decide on class width
4. Determine lower limit of first class
5. Construct frequency distribution table
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Histogram
A graph in which classes are marked on the
horizontal
axis and the frequencies, relative frequencies, or percentages are marked on the vertical axis
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Frequency polygon
A graph formed by joining the midpoints of the tops of successive bars in a
histogram
with
straight
lines
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Frequency distribution curve
A smooth curve that results when the number of classes is
increased
and the width of classes is
decreased
for a very large data set
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Single-valued
classes
Classes where observations in a data set assume only a
few
distinct (
integer
) values
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Frequency distribution
A
tabular
arrangement of data that shows the number of observations (
frequency
) in each class
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Relative frequency
The frequency of a class divided by the
total number
of
observations
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Percentage
The relative frequency multiplied by
100
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Constructing a
frequency distribution
table
1. Determine the minimum and maximum values
2. Decide on the number and width of classes
3. Count the number of observations in each class
4. Calculate the relative frequency and percentage for each class
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Single-valued
classes
Classes made of single values, not
intervals
, used for
discrete
data with few possible values
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Cumulative frequency distribution
The total number of values that fall below the
upper
boundary of each class
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Cumulative relative frequency
The cumulative frequency of a class divided by the total number of
observations
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Cumulative percentage
The cumulative
relative frequency
multiplied by
100
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Shapes of
histograms
Symmetric
Skewed
to the
right
Skewed
to the
left
Uniform
or
rectangular
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Stem-and-leaf
display
A way to organize quantitative data by
dividing
each value into a
stem
(leading digits) and leaves (trailing digits)
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Creating a stem-and-leaf display
1. Separate the data into
stems
and
leaves
2. Arrange the
leaves
for each
stem separately
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Advantages of
stem-and-leaf
displays include not
losing
information on individual observations
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Grouped
stem-and-leaf
displays can be created by grouping the
stems
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Split
stem-and-leaf
displays can be created by splitting the stems into
two
parts
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