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Data Analysis Project
Data Analysis Project
Data Analysis Project
Data Analysis Project
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Description

Students become real-world data analysts in this engaging transfer project focused on improving school life through data collection and analysis.

Students will:

  • Design surveys
  • Organize data
  • Create graphs
  • Analyze trends
  • Make evidence-based recommendations

This project emphasizes authentic application of data analysis skills.

This Resource Includes

  • 4–6 project components
  • Student directions
  • Real-world scenario
  • Scatterplot activities
  • Bar graph creation
  • Two-way table analysis
  • Segmented bar graph extension
  • Reflection opportunities

How Teachers Can Use It

  • End-of-unit project
  • Performance assessment
  • PBL activity
  • STEM integration
  • Group collaboration

Why Teachers Love It

  • Authentic learning experience
  • Encourages student ownership
  • Promotes critical thinking
  • Cross-curricular connections
  • Excellent for portfolios and showcases
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Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

Data Analysis Project

$4.50

Highlights

Digital downloads
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Grades
7th - 9th
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Standards

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Description

Students become real-world data analysts in this engaging transfer project focused on improving school life through data collection and analysis.

Students will:

  • Design surveys
  • Organize data
  • Create graphs
  • Analyze trends
  • Make evidence-based recommendations

This project emphasizes authentic application of data analysis skills.

This Resource Includes

  • 4–6 project components
  • Student directions
  • Real-world scenario
  • Scatterplot activities
  • Bar graph creation
  • Two-way table analysis
  • Segmented bar graph extension
  • Reflection opportunities

How Teachers Can Use It

  • End-of-unit project
  • Performance assessment
  • PBL activity
  • STEM integration
  • Group collaboration

Why Teachers Love It

  • Authentic learning experience
  • Encourages student ownership
  • Promotes critical thinking
  • Cross-curricular connections
  • Excellent for portfolios and showcases
Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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Questions & Answers

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Standards

to see state-specific standards (only available in the US).
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.
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