Resources for Years 4-6 - 魅影直播 /year-level/years-4-6/ Thu, 21 May 2026 18:40:56 +0000 en-US hourly 1 Workshop – Using CensusAtSchool data cards /resource/workshop-using-censusatschool-data-cards/ Thu, 21 May 2026 02:35:55 +0000 /?post_type=resource&p=14842 This is a workshop plan. It is designed for someone to use to lead PLD within a school setting, e.g., for a staff or syndicate meeting.听 The workshop is aimed at teachers of year 1-6 students. In this workshop participants get to engage in the PPDAC cycle as they explore teaching the statistics strand of […]

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This is a workshop plan. It is designed for someone to use to lead PLD within a school setting, e.g., for a staff or syndicate meeting.听 The workshop is aimed at teachers of year 1-6 students.

In this workshop participants get to engage in the PPDAC cycle as they explore teaching the statistics strand of the NZC. The workshop uses the data cards based on the 2025/2026 CensusAtSchool questionnaire. Links to previous data cards based on the 2023/2024 questionnaire are also given.

If planning to use the workshop in the future, it could be adapted to suit the current CensusAtSchool data cards.听 Check under the Data tab and find the Data Cards link.听听

This activity explores the following key ideas:听

  • Working with secondary data
  • Interrogating the dataset
  • Making data visualisations to answer the investigative question
  • Describing data visualisations
  • Answering the investigative question

Resources

Workshop materials

Teaching and learning activities on CensusAtSchool using the data cards

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P Y4 The Great Coin Toss Challenge /resource/p-y4-the-great-coin-toss-challenge/ Fri, 12 Sep 2025 20:35:18 +0000 /?post_type=resource&p=14558 膧konga will explore the relationship between theoretical modelling and experimental outcomes within the context of a coin toss challenge. This two part lesson is for Year 4 膩konga.听听 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 […]

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膧konga will explore the relationship between theoretical modelling and experimental outcomes within the context of a coin toss challenge. This two part lesson is for Year 4 膩konga.听听

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听
  • Agree or disagree with others鈥 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听 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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P Y4 Lucky Seven /resource/p-y4-lucky-seven/ Fri, 12 Sep 2025 20:32:06 +0000 /?post_type=resource&p=14553 This lesson explores a chance based experience where 膩konga can be actively involved in the data collection.听 This active involvement helps 膩konga to make sense of the mathematical concept through analysis.听听 This activity explores the following key ideas: Engage in chance-based investigations with equally likely outcomes by: – posing an investigative question – anticipate and […]

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This lesson explores a chance based experience where 膩konga can be actively involved in the data collection.听 This active involvement helps 膩konga to make sense of the mathematical concept through analysis.听听

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听
  • Agree or disagree with others鈥 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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P Y4 Last One Standing /resource/y4-last-one-standing/ Fri, 12 Sep 2025 20:26:29 +0000 /?post_type=resource&p=14542 听 听 膧konga 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 膩konga.听听 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 […]

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膧konga 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 膩konga.听听

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听
  • Agree or disagree with others鈥 conclusions about chance based investigations

Resources

  • Y4 teaching notes
  • Year 4 Probability
  • Last One Standing gameboards听enough for your class to play in 2鈥檚 or 4鈥檚.
  • 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 |听 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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Probability | T奴ponotanga 鈥 A guide for teaching probability (ages 5-18) /resource/probability-tuponotanga-a-guide-for-teaching-probability-ages-5-18/ Sun, 29 Jun 2025 23:20:16 +0000 /?post_type=resource&p=14373 The post Probability | T奴ponotanga 鈥 A guide for teaching probability (ages 5-18) appeared first on 魅影直播.

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Basketball Data Analytics Unit- In Partnership with Stanford Women鈥檚 Basketball – from YouCubed /resource/basketball-data-analytics-unit-in-partnership-with-stanford-womens-basketball-from-youcubed/ Mon, 09 Dec 2024 23:00:14 +0000 /?post_type=resource&p=14146 https://www.youcubed.org/tasks/basketball-data-analytics-unit/ These lessons are created for students grade 4-ish and above in partnership with Stanford Women鈥檚 Basketball. One of the goals of these lessons is to show students that data is everywhere 鈥 you don鈥檛 have to be an athlete to be involved in sports. Sports Data Analytics is a huge field. Teams have statisticians […]

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These lessons are created for students grade 4-ish and above in partnership with Stanford Women鈥檚 Basketball. One of the goals of these lessons is to show students that data is everywhere 鈥 you don鈥檛 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 鈥 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鈥檚 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鈥檚 Basketball, CBB Analytics, and the Sports Analytics Club Program.

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Dinos of Patagonia data cards /resource/dinos-of-patagonia-data-cards/ Tue, 26 Nov 2024 20:31:04 +0000 /?post_type=resource&p=14083 Dinosaur data cards 鈥 data collected from the Dinos of Patagonia exhibition at Te Papa Museum 2024 Dinos of patagonia data cards Variables: Name of the dinosaur Height Height of the dinosaur in metres Where the height was given in centimetres, this has been converted to metres 1 m = 100 cm Length Length of […]

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Dinosaur data cards 鈥 data collected from the Dinos of Patagonia exhibition at Te Papa Museum 2024

Dinos of patagonia data cards

Variables:

Name of the dinosaur
Height Height of the dinosaur in metres

Where the height was given in centimetres, this has been converted to metres

1 m = 100 cm

Length Length of the dinosaur in metres

Where the length was given in centimetres, this has been converted to metres

1 m = 100 cm

Weight Weight of the dinosaur in kilograms

Where the weight was given in grams or tonnes, these have been converted to kilograms

1 T = 1000 kg, 1 kg = 1000 g

Diet Usual diet, meat, plant, or meat and plant
Period The time period that the dinosaurs were around
Time ago The time in years that the dinosaurs were around 鈥 single year rather than an interval, if an interval was given, the middle of the interval was used
Discovered What year the dinosaur was first discovered
Country The country the dinosaur was first discovered in

 

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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New Zealand Olympic Team Data Cards 2024 /resource/new-zealand-olympic-team-data-cards-2024/ Mon, 22 Jul 2024 21:22:53 +0000 /?post_type=resource&p=13780 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 New Zealand Olympics website. Find out about individual athletes by typing their names in the search bar. You can filter by Games Type (Olympic Summer Games), […]

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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.听

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:

Variable Description
Name Athlete’s name.
Sport The Olympic sport they are competing in.听
# Olympics The number of Olympic games they have competed in, including Paris.
Medals Number of Olympic medals the athlete has won. For those that Paris is their first Olympics, this is zero.
Best placing This is their best placing in any of the events they have competed in. This has been left blank for those that Paris is their first Olympics.
Paris events The number of events in their sport they are competing in at the Paris Olympic Games.

This activity explores the following key ideas:

  • Using existing data to undertake a statistical enquiry

Resources

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Y5 What do Year 5 students do at lunch time? – PPDAC cycle /resource/y5-what-do-year-5-students-do-at-lunch-time-ppdac-cycle/ Mon, 08 Jul 2024 04:15:57 +0000 /?post_type=resource&p=13637 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.听 This activity explores the following key ideas: Explore summary (and comparison) situations听 […]

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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.听

This activity explores the following key ideas:

  • Explore summary (and comparison) situations听
  • 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

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S Y5 Scooter or Skateboard – PPDAC cycle /resource/y5-scooter-or-skateboard-ppdac-cycle/ Tue, 02 Jul 2024 05:01:39 +0000 /?post_type=resource&p=13217 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.听 This activity explores the following key […]

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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.听

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

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