This activity explores the following key ideas:

• Engage in chance-based investigations with equally likely outcomes by:
  – posing an investigative question
  – anticipate and then identify possible outcomes for the investigative question
  – generating all possible ways to get each outcome (a theoretical approach), or undertaking a probability experiment and recording the occurrences of each outcome
  – creating data visualisations for possible outcomes
  – describe what these data visualisations show
  – finding probabilities as fractions
  – answering the investigative question
  – reflecting on anticipated outcomes��
• Agree or disagree with others’ conclusions about chance based investigations

Resources

• Y4 teaching notes
• Year 4 Probability
• Coins, enough for three coins for each group
• Large paper or whiteboard
• Whiteboard markers, pens
• Post it notes
• The Great Coin Toss Challenge�� MM1 – for listing outcomes for various numbers of coins
• The Great Coin Toss Challenge MM2 – table to record outcomes from a probability experiment for tossing two coins
• The Great Coin Toss Challenge MM3 – bar graph blank to record results of the probability experiment
• Optional – Digital modelling tool with a bar graph generator such as Google Sheets or Microsoft Excel.

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This activity explores the following key ideas:

• Engage in chance-based investigations with equally likely outcomes by:
  – posing an investigative question
  – anticipate and then identify possible outcomes for the investigative question
  – generating all possible ways to get each outcome (a theoretical approach), or undertaking a probability experiment and recording the occurrences of each outcome
  – creating data visualisations for possible outcomes
  – describe what these data visualisations show
  – answering the investigative question
  – reflecting on anticipated outcomes��
• Agree or disagree with others’ conclusions about chance based investigations

Resources

• Y4 teaching notes
• Year 4 Probability
• Lucky Seven – Lesson 1 probability experiment – table to record results of probability experiment
• Paper, markers or something for each group to draw and record with
• Lucky Seven – sums of dice graph grids
• Lucky Seven chart – red & blue dice or Lucky Seven chart – colour according to your dice
• Lucky Seven – dice squares
• Optional virtual
• Optional
• Optional

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�� ��

Ākonga will explore the relationship between theoretical outcomes and experimental outcomes within the context of a multiplication game. This two part lesson is for Year 4 ākonga.����

This activity explores the following key ideas:

• Engage in chance-based investigations with equally likely outcomes by:
  – posing an investigative question
  – anticipate and then identify possible outcomes for the investigative question
  – generating all possible ways to get each outcome (a theoretical approach), or undertaking a probability experiment and recording the occurrences of each outcome
  – creating data visualisations for possible outcomes
  – describe what these data visualisations show
  – finding probabilities as fractions
  – answering the investigative question
  – reflecting on anticipated outcomes��
• Agree or disagree with others’ conclusions about chance based investigations

Resources

• Y4 teaching notes
• Year 4 Probability
• Last One Standing gameboards��enough for your class to play in 2’s or 4’s.
• Paper clips to use as spinners, two for each gameboard
• Coloured counters
• Post It notes
• Last One Standing MM1 | Listing all possible outcomes chart
• Last One Standing MM2 |�� Frequency table
• Last One Standing MM3 | Theoretical probability table
• Last One Standing MM4 | Experimental probability table
• Optional – Digital spinner tool such as

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These lessons are created for students grade 4-ish and above in partnership with Stanford Women’s Basketball. One of the goals of these lessons is to show students that data is everywhere – you don’t have to be an athlete to be involved in sports. Sports Data Analytics is a huge field. Teams have statisticians and coaches that analyze data to support recruiting, practice decisions, and strategies for players and ways to be ready for opposing teams. Even the players need to understand their and their opponents data. In this unit of lessons, students ask questions, explore, visualize and make decisions with data inside basketball.

Note: Any teacher can teach these lessons – you DO NOT have to know basketball. All the information needed is in the videos made by Stanford basketball players. Students will happily lead the discussions, and explain the rules to each other as needed.

There are three parts to this sports data analytics unit of work:

• In Part 1 students are introduced to basketball data through video made for them by Stanford women’s basketball team, through a data recording activity and through playing a version of the game at their tables.
• In Part 2 students are introduced to CODAP, a cool data visualization tool, to consider the height of players using dot plots, histograms and mean, median and mode.
• In Part 3 students conduct a data investigation with the goal of choosing their dream team! Students pick a five player team from all ACC & PAC-12 players from last year, justifying their choices using statistics and graphs. They will work in CODAP to choose, analyze and communicate data, and then defend their choice of players.

In partnership with Stanford Women’s Basketball, CBB Analytics, and the Sports Analytics Club Program.

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Dinos of patagonia data cards

Variables:

The data is also available in a CODAP document |

You can use the blank data cards to find out information about other dinosaurs. If you want to add the new dinosaurs to the dataset, then make a copy of this and add them in.

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Vaires-sur-Marne Nautical Stadium

A set of data cards for the 2024 New Zealand Olympic Team – 32 athletes who are competing at the Vaires-sur-Marne Nautical Stadium. The data was sourced from the .

Find out about individual athletes by typing their names in the search bar. You can filter by Games Type (Olympic Summer Games), and Sport to find the athletes in a sport or group of sports.��

The will host the Olympic rowing and canoe-kayak events.

See information about using data cards for ideas on what to do with the data cards. Other ideas include:

• Make a set of data cards for another sport or group of sports.
• Make a set of data cards for a
• Add variables to the existing set of data cards, e.g., the Olympian number, where they are based, did they compete in the Youth Olympics, what year was their Olympic debut

All the data that is in the data cards is also in the CODAP document listed in the resources.

Variables in the data card set provided:

This activity explores the following key ideas:

• Using existing data to undertake a statistical enquiry

Resources

• Teaching Notes
• Olympics NZ – Rowing, Canoe Kayak Sprint, Canoe Kayak Slalom data cards
• – Olympics NZ – Rowing, Canoe Kayak Sprint, Canoe Kayak Slalom
• Blank data cards – make your own set of NZ Olympic Athlete data cards

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In this activity, students explore what their peers like to do at lunch time. They are involved in all stages of the statistical enquiry cycle, from posing the investigative question, through planning for and collecting data, to analysis and answering the investigative question.��

This activity explores the following key ideas:

• Explore summary (and comparison) situations��
• Plan how to collect primary data
• Create and describe data visualisations for summary (and comparison) investigations, for example using a frequency table, bar graph, dot plot
• Answering investigative questions

Resources

• Teaching Notes

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In this activity students will investigate the ways they get to school and the time it takes to get there. They are involved in all stages of the statistical enquiry cycle, from posing the investigative question, through planning for and collecting data, to analysis and answering the investigative question.��

This activity explores the following key ideas:

• Explore summary and comparison situations with discrete numerical data
• Plan how to collect primary data
• Create and describe data visualisations for summary and comparison investigations, for example frequency table, bar graph

Resources

• Teaching Notes

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The��New Zealand Garden��Bird��Survey is underway until July 6, 2025. A great data-gathering activity for your students.

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