# **Statistical Analysis of Sports Performance** ### **Mathematics Lesson for Years 10-12** **Integrating Traditional Māori Sports & Modern Statistical Analysis** --- ## **Complete HTML Content for Classroom Use** ```html Statistical Analysis of Sports Performance

Statistical Analysis of Sports Performance

Exploring Data in Modern and Traditional Māori Sports

Learning Objectives (NZC Level 5-6 Mathematics & PE)

Collect, organise, and interpret statistical data from sports.
Calculate measures of central tendency (mean, median, mode) and spread (range, IQR).
Compare performance data between modern sports and traditional Māori games.
Understand the cultural significance of Māori sports like ki-o-rahi and tī rākau.
Use digital tools (Google Sheets, online graphs) to analyse data.

Engagement Activity: "Which Sport is More Consistent?"

Watch short clips of ki-o-rahi (traditional Māori ball game) and basketball. In groups, brainstorm:

What performance metrics could we track? (e.g., scoring frequency, pass accuracy)
How might traditional games differ statistically from modern sports?

Data Collection & Analysis

Students will gather data from two sources:

Modern Sport (e.g., Basketball): Track points scored per player in a game.
Traditional Māori Game (e.g., Tī Rākau): Measure successful stick catches per minute.

Sport	Data to Collect	Statistical Measures
Basketball	Points per player, assists, rebounds	Mean, median, range
Tī Rākau (stick games)	Catches per minute, reaction time	Mode, interquartile range

Digital Task: Create a Comparative Graph

Using Google Sheets or similar, input your data and generate:

A box-and-whisker plot comparing scoring distributions.
A bar graph showing average performance differences.

Cultural Context & Reflection

Why study Māori sports statistically?

Traditional games like ki-o-rahi were used for training, strategy, and community bonding.
Statistical analysis helps preserve and appreciate Indigenous knowledge systems.

Discuss: How might data analysis improve training in both modern and traditional sports?

``` --- ## **Cultural Context & Safety Notes** - **Cultural Authenticity:** Ensure correct pronunciation of Māori terms (e.g., "ki-o-rahi" = "key-o-rah-hee"). - **Respectful Engagement:** If possible, invite a local kaumātua (elder) or kaiako (teacher) to discuss traditional games. - **Safety:** If physically trying tī rākau (stick games), use lightweight materials and supervise closely. --- ## **Teacher Implementation Guide** 1. **Introduction (15 min):** Show videos of ki-o-rahi and basketball. Discuss possible metrics. 2. **Data Collection (20 min):** Students record stats from provided datasets or live demos. 3. **Analysis (25 min):** Calculate mean, median, range, and create graphs. 4. **Discussion (15 min):** Compare findings and reflect on cultural significance. --- ## **Assessment Suggestions** | Criteria | Achieved (✓) | Developing (△) | Not Yet (✗) | |----------|-------------|---------------|------------| | Accurate data collection | | | | | Correct statistical calculations | | | | | Meaningful graph representation | | | | | Insightful cultural reflection | | | | **Alternative Assessment:** Students present findings in a 2-minute "sports analyst" report. --- ## **Extension Activities** - **Advanced:** Calculate standard deviation for performance consistency. - **Research:** Compare historical Māori game strategies with modern analytics in rugby. - **Creative:** Design a new game blending traditional and modern elements, then analyse its hypothetical stats. --- ## **Adaptations for Diverse Learners** - **Visual Learners:** Use colour-coded graphs. - **Kinesthetic Learners:** Act out tī rākau to gather live data. - **ESOL Students:** Provide bilingual (Māori/English) vocabulary lists. --- **Ready for Classroom Use!** This resource aligns with NZC Mathematics (Statistics) and incorporates Te Ao Māori through authentic contexts. Adjust datasets as needed for your students’ interests.