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NBA Box Plot Activity (Real Data!)
NBA Box Plot Activity (Real Data!)
NBA Box Plot Activity (Real Data!)
NBA Box Plot Activity (Real Data!)
NBA Box Plot Activity (Real Data!)
NBA Box Plot Activity (Real Data!)
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Description

Engage your students with this fun and meaningful real-world statistics activity using NBA data! In this resource, students analyze and create box plots using authentic data from all 30 NBA teams.

Each team includes 10 game scores from February 2026, giving students relevant and exciting data to work with while practicing key statistical concepts.

What’s Included:

  • 📊 Data sets for all 30 NBA teams (10 scores each)
  • 📄 Student worksheet to guide the activity
  • ✏️ Opportunities for students to:
    • Organize data from least to greatest
    • Find the five-number summary (minimum, Q1, median, Q3, maximum)
    • Calculate range and interquartile range (IQR)
    • Create accurate box plots

Why You’ll Love It:

  • Uses real NBA data to boost engagement
  • Perfect for middle school or Algebra classes
  • Great for independent work, partner activities, or stations
  • Encourages both conceptual understanding and hands-on practice

This activity is ideal for making statistics more interactive, relatable, and fun for your students!

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.

NBA Box Plot Activity (Real Data!)

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Highlights

Grades icon
Grades
7th - 9th
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Subjects
Standards icon
Standards

Description

Engage your students with this fun and meaningful real-world statistics activity using NBA data! In this resource, students analyze and create box plots using authentic data from all 30 NBA teams.

Each team includes 10 game scores from February 2026, giving students relevant and exciting data to work with while practicing key statistical concepts.

What’s Included:

  • 📊 Data sets for all 30 NBA teams (10 scores each)
  • 📄 Student worksheet to guide the activity
  • ✏️ Opportunities for students to:
    • Organize data from least to greatest
    • Find the five-number summary (minimum, Q1, median, Q3, maximum)
    • Calculate range and interquartile range (IQR)
    • Create accurate box plots

Why You’ll Love It:

  • Uses real NBA data to boost engagement
  • Perfect for middle school or Algebra classes
  • Great for independent work, partner activities, or stations
  • Encourages both conceptual understanding and hands-on practice

This activity is ideal for making statistics more interactive, relatable, and fun for your students!

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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Standards

to see state-specific standards (only available in the US).
Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team, about twice the variability (mean absolute deviation) on either team; on a dot plot, the separation between the two distributions of heights is noticeable.
Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. For example, decide whether the words in a chapter of a seventh-grade science book are generally longer than the words in a chapter of a fourth-grade science book.
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