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  Home > Mathematics > HS Math & Science > Syllabus >  Part 2, Act 5  
 

Data Analysis and Research Methods

Course Description and Syllabus

Introduction to Factorial Experiments  #12 - Part 2, Activity 5

Key Purposes:

  1. Students can graph the results of a 2x2 experiment on an acrylic cube and on paper.
  2. Students can calculate the prediction equation of a 2x2 experiment with no interaction.
  3. Students can represent the main effects as vectors on an acrylic cube and on paper.
  4. Students can represent an interaction graphically on an acrylic cube and on paper.
  5. Students can calculate main effects, interactions, and the predictor equation of the 2x2 experiment.
  6. Students can state the three questions addressed in a 2x2 experiment and corresponding hypotheses.
  7. Students can state the definition of an interaction: An interaction is a situation where factors act upon one another to influence an outcome (response). An interaction between two factors occurs when the effect of changing one factor depends on the level (setting) of the other factor.

Example: An interaction between teaching style and learning style exists when the effect of changing teaching style depends on the learning style of the student.

 

Plot this data on the cube.
Let A = Time spent studying (in hours). 
     Two hours = -1. Four hours = +1.
Let B = Temperature in degrees.
     68 degrees = -1.  78 degrees = +1.
Let Y = test scores, the response variable.

Variable A
Hours of Study

Variable B
Temperature

Y (response variable)
Scores

-1

-1

85

+1

-1

95

-1

+1

80

+1

+1

90

 

To see a Quick Time Movie of the The Factorial Experiment graph, Click the above image. File size may be large, please allow enough time for the download.
Get QuickTime

Description:

Introduction to Factorial Experiments. The video, DOE, produced by the Macomb Intermediate School District, illustrates the importance of well-designed, multi-variate experiments in science and industry. After the video, students graph the results of a 2x2 experiment with no interaction and calculate the predictor equation. Then they are given experimental results where the previous model is inadequate because an interaction is present. Graphical interpretations of interactions are studied and real life implications of interactions are discussed.

Alignment with Michigan Curriculum Framework:

.

.

.

Mathematics

.

.

Strand

Standard

Benchmark High School

I

Patterns, Relationships, and Functions

1

2, 3, 4, 5

I

Patterns, Relationships, and Functions

2

1, 2, 3, 6

II

Geometry and Measurement

1

7

II

Geometry and Measurement

2

1, 2, 5

II

Geometry and Measurement

3

1, 2, 3, 4, 5, 6

 

. . . .

III

Data Analysis and Statistics

1

1, 2, 3, 4

III

Data Analysis and Statistics

2

1, 2, 3, 4, 5

III

Data Analysis and Statistics

3

1, 2, 3, 4, 5

IV

Number Sense and Numeration

2

5

IV

Number Sense and Numeration

3

2, 5

V

Numerical and Algebraic Operations and Analytical Thinking

1

4

V

Numerical and Algebraic Operations and Analytical Thinking

2

1, 2, 3, 4, 5

 

.

.

.

Science

.

.

Strand

Standard

Benchmark High School

I

Construct New Scientific and Personal Knowledge

1

1, 2, 3, 4, 5, 6, 7, 8, 9

II

Reflect on the Nature, Adequacy and Connections Across Scientific Knowledge

1

1, 2, 3, 4, 5, 6

.

.

.

English Language Arts

.

.

Strand

Standard

Benchmark High School

.

Meaning and Communication

1

1, 2, 3, 4, 5

.

.

2

1, 3, 4

.

.

3

1, 3, 4, 5, 6, 8

.

Language

4

1

.

Voice

6

1

.

Skills and Process

7

1, 2, 3, 4

.

Depth of Understanding

9

1, 2, 3

.

Ideas in Action

10

1

.

Inquiry and Research

11

1, 2, 3, 4

.

Critical Standard

12

1

 

 
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