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COFSP Mason High School Statistics

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Presentation on theme: "COFSP Mason High School Statistics"— Presentation transcript:

1 COFSP Mason High School Statistics
Santeri Potticary Materials Engineering

2 Topics Experimental Design Descriptive Statistics
Identify the variables and treatments Randomization Data collection Descriptive Statistics Scatter plots for interpreting data sets

3 Academic Content Standards
CCSS.MATH.CONTENT.HSS.ID.B.6.A - Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context.  CCSS.MATH.CONTENT.HSS.ID.B.6.C - Fit a linear function for a scatter plot that suggests a linear association. CCSS.MATH.CONTENT.HSS.ID.C.7 - Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data. CCSS.MATH.CONTENT.HSS.ID.C.8 - Compute (using technology) and interpret the correlation coefficient of a linear fit. CCSS.MATH.CONTENT.HSS.ID.C.9 - Distinguish between correlation and causation.

4 Electrical Conductivity in Materials
Guiding Questions Why is energy storage important? What properties are important to energy storage? How can the type of material affect conductivity? What properties affect conductivity? Is cost an issue?

5 Electrical Conductivity in Materials
Objectives Measure electrical current in a wire Identify properties affecting conductivity Understand and apply components of experimental design Analyze experimental results statistically.

6 Applications, Careers, Society
Statistics used to determine material properties from an experiment shows application of math in engineering Pictures show technology so students understand that classroom concepts can lead to exciting careers in product development Airplane fires caused buy lithium-ion batteries show societal impact of understanding material properties

7 Reflections Students were engaged Critical thinking was demonstrated
Many concepts were covered Reasons for performing experiment Experimental design Data collection and analysis Material properties Applied statistics to a real life situation Introduced materials engineering and engineering design


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