Lesson 1
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Fishbone Diagrams
Fishbone diagrams are used as a brainstorming
technique to aid in illustrating cause-effect
relationships. Students create fishbone diagrams
for goals such as: earning a college degree or
starting a business.
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Lesson 2
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Charts
Given one chart of starting level salaries for
careers in different fields and at different degree
levels, students explore the ways to reorganize the
data into new charts, each with its own scheme or
emphasis.
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Lesson 3
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Graphical
Representations
A detailed wage chart of salaries is presented
in the form of a matrix. Students use matrix
notation to describe information in the wage chart.
Students create a graphical representation of the
matrix data. Students also solve problems about
arithmetic and geometric sequences based on the
numerical data in the wage charts.
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Lesson 4
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Bar Charts, Line
Graphs, and Matrices
The Soft Drink Company uses bar charts and line
graphs to measure the company's progress in three
areas of production. The students analyze the pros
and cons of the company's data presentation, and
develop alternate representations of the data with
an accompanying rationale for their
choices.
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Lesson 5
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Coded Maps
Coded maps include elevation maps, rainfall
maps, city recreation maps, etc. In this lesson,
students interpret data from a coded map of
computer parts and suppliers. Students create their
own coded maps.
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Lesson 6
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Decision Tree
Decision trees are used as a means of problem
solving when three or more factors affect the
decision. In this lesson, students create decision
trees for many topics. Students create a decision
tree based on their coded maps from Lesson 5. A
comparison between decision trees and flowcharts is
made.
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Lesson 7
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Process Control
Charts
Students simulate computer chip manufacturing
by doing an experiment with potato chips. Students
collect data on potato chip "totality", represent
the data on a process control chart, and analyze
the data based on the concepts of mean and standard
deviation.
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Lesson 8
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Representations as Aids
in Reporting
Five measures of assembly line efficiency for a
manufacturer of computer systems are presented.
Students construct a variety of graphical
representations for this complex data.
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Lesson 9
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Using Graphical
Representations for Data Comparison
Students extract data from a graph, combine
information from two matrices, look for a
correlation in the combined data, and create a new
graph to show the relationship between the combined
data.
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