Data organization and
presentation
“Graphical excellence consists of the efficient
communication of complex quantitative ideas.”
With descriptive statistics data can be summarized
and presented in various forms
Stem and leaf
Frequency distribution (Tables, Histograms, charts,
ogive)
“At their best, graphics are instruments for
reasoning about quantitative information.”
, Organizing Numerical Data
Numerical Data 41, 24, 32, 26, 27, 27, 30, 24, 38, 21
Frequency Distributions
Ordered Array
Cumulative Distributions
21, 24, 24, 26, 27, 27, 30, 32, 38, 41
2 144677
Stem and Leaf Histograms Ogive
3 028
Display
4 1
Tables Polygons
, Stem and leaf plot
A stem and leaf plot is a method used to organize
statistical data.
The greatest common place value of the data is used to
form the stem. The next greatest common place value
is used to form the leaves.
For instance, suppose you have the following list of
trees length values : 12, 13, 21, 27, 33, 34, 35, 37, 40,
40, 41. You could make a frequency distribution table
showing how many tens, twenties, thirties, and forties
you have: Frequency
Frequency
Class
10 - 19 2
20 - 29 2
30 - 39 4
40 - 49 3
, Data compilation and
presentation
You could make a histogram, which is a bar-graph
showing the number of occurrences, with the
classes being numbers in the tens, twenties, thirties,
and forties:
presentation
“Graphical excellence consists of the efficient
communication of complex quantitative ideas.”
With descriptive statistics data can be summarized
and presented in various forms
Stem and leaf
Frequency distribution (Tables, Histograms, charts,
ogive)
“At their best, graphics are instruments for
reasoning about quantitative information.”
, Organizing Numerical Data
Numerical Data 41, 24, 32, 26, 27, 27, 30, 24, 38, 21
Frequency Distributions
Ordered Array
Cumulative Distributions
21, 24, 24, 26, 27, 27, 30, 32, 38, 41
2 144677
Stem and Leaf Histograms Ogive
3 028
Display
4 1
Tables Polygons
, Stem and leaf plot
A stem and leaf plot is a method used to organize
statistical data.
The greatest common place value of the data is used to
form the stem. The next greatest common place value
is used to form the leaves.
For instance, suppose you have the following list of
trees length values : 12, 13, 21, 27, 33, 34, 35, 37, 40,
40, 41. You could make a frequency distribution table
showing how many tens, twenties, thirties, and forties
you have: Frequency
Frequency
Class
10 - 19 2
20 - 29 2
30 - 39 4
40 - 49 3
, Data compilation and
presentation
You could make a histogram, which is a bar-graph
showing the number of occurrences, with the
classes being numbers in the tens, twenties, thirties,
and forties:
