This unit is designed to connect the desire to improve performance in physical activities with developing an understanding of how data can be collected and analysed to make sense of the different attributes that could contribute to improved performance.
Integrating statistics within another curriculum area is a powerful way of showing how useful statistics is to many aspects of the world we live in. There is a connection between statistics and physical education that is valuable to contribute to improving performance in physical activities such as throwing and catching.
This series of sessions is designed to connect the desire to improve performance in physical activities with developing an understanding of how data can be used to support improved performance and how data can be used to make sense of the different attributes that could contribute to improved performance.
Alongside the statistical investigation on throwing and catching, the class is introduced to the CensusAtSchool census, data collection and analysis. Using a software data analysis tool is introduced and the students develop their data enquiry skills using the CensusAtSchool data.
At curriculum level 4 students are telling the class story in detail with supporting evidence. They are posing comparison and relationship investigative questions, planning investigations including data generation, collecting and displaying measurement data, describing distributions, comparing distributions visually and identifying patterns in relationships visually.
This unit explores the entire statistical enquiry cycle over a number of sessions using primary data. Students will explore factors that could influence their ability to throw and catch (or other physical education activity e.g. running and jumping). As well, they will explore the relationship between initial throwing and catching ability and final throwing and catching ability after coaching and practice to answer the investigative question: Has coaching and practice improved their ability to throw and catch?
Associated Achievement Objectives:
Health and Physical Education:
Movement Concepts and Motor Skills
Relationships with Other People
This unit of work is presented as a sequence of 12 sessions. It is likely that more sessions may be required, and at times some sessions may take more than one teaching period.
The lesson structure will vary depending on space and availability of specialist teaching spaces e.g. gymnasium, computers. Sometimes the lesson will be physical education focused, and sometimes it will be mathematics focused. At other times the group may be split into two with some students doing physical education and some students doing mathematics.
The statistical software used is CODAP. It is browser based and tutorials in a NZ context can be found at http://karekareeducation.co.nz/category/codap/.
The first session is about setting the scene. Key questions such as why we need quality data and how to avoid errors in data collection are discussed. Possible physical attributes that could contribute to our ability to throw and catch are also discussed.
SLOs:
Activity 1: Introduction to the PE focus – throwing and catching
We are going to explore (1) what factors/attributes might affect our ability to throw and catch, (2) if instruction and practice improve our ability to throw and catch and (3) quality data collection.
Introduce the PE focus for the unit of work – throwing and catching. Discussion around the three things we will explore as listed above and how all of these connect to support improving our ability to throw and catch.
An initial PE activity where students are using the skills of throwing and catching. Drawing students’ attention to the techniques of throwing and catching and thinking about what attributes the better throwers and catchers might have. This could be a game of dodgeball.
Following the initial PE activity, explain how the baseline data for throwing and catching will be collected.
Activity 2: Considering factors that might affect our ability to throw and catch
After the initial PE activity students work in small groups and discuss the following prompts, capturing their ideas on paper to share back to the whole group.
They should consider the game they have just played focusing on the throwing and catching and how the baseline data will be collected.
Prompts for brainstorming are provided for this (Copymaster 1) – enlarge to A3.
Suggested prompts:
Generating additional ideas as to what factors/attributes might affect our ability to throw and catch?
Once the brainstorming is completed, and the students have shared back, several ideas should have been generated for data investigations. Through this process the students are starting to be data detectives, they are starting to understand and define the problem and to think about how they might go about answering the question.
Get students to select one or two areas that they would like to explore further to answer the overarching problem:
What factors/attributes might affect our ability to throw and catch?
Get the students to interrogate each of their areas they will explore. Questions they could ask of each area include:
Collect in the brainstorming sheets.
At the end of the session each group should have identified at least one area they will explore.
Examples of student generated ideas
In this second session, students:
SLOs:
Activity 1: CensusAtSchool survey – introduction and making measures
For the purpose of this unit plan the information and links here are based on the 2019 CensusAtSchool survey. This will still hold for 2020. For 2021 and beyond you may need to update based on the current CensusAtSchool survey.
Teachers should register their class for the CensusAtSchool survey https://new.censusatschool.org.nz/takepart/register/.
An introduction to taking the CensusAtSchool survey can be found here: https://new.censusatschool.org.nz/takepart/
Actions here could include:
There are measurement stations set up ready for the data collection on the CensusAtSchool website. It is appropriate to use these directly with students who are working at curriculum level 3, but by curriculum level 4 and above students should be engaging in thinking about how to collect the data themselves. The level of guidance from the teacher will reduce the higher the curriculum level.
The measurement data collection questions in the 2019 CensusAtSchool questionnaire are:
There are ideas for measurement accuracy on each of the cards in the CensusAtSchool guide.
Hand out each data collection question and ask students to think about how the measure could be made so that we would get valid and reliable data.
Also get them to think about (and note down) possible values for each of the measures. That is under or over what values would we question the result, and have it measured again.
Once this initial thinking has been done hand them the station card with the things to think about and get them to discuss each of the questions on the bottom of the card.
These activities with the CensusAtSchool data collection questions should set the students up so that they can think about what data collection questions they will pose to collect data to explore what factors/attributes might affect our ability to throw and catch.
Activity 2: Deciding how to collect measures for each of our factors so that we get valid and reliable data
In small groups discuss with students how they will collect the data to explore their area of interest.
Examples of potential ideas:
With each smaller group unpack the variable/attribute they are thinking to explore and ask how they might measure it/collect information about it. See ideas in the table below.
For example:
Area  Initial thoughts 
Better technique 

Arm length (or height) 

Attitude 

Play more sport or past experience 

Handspan 

They should think about how they might graph the data they collect to see if the factor affects their ability to catch and throw balls. (They are likely thinking of something that shows a relationship, the better they are at the attribute/factor, the better their throwing and catching score).
In order to answer our investigative questions about what factors/attributes affect our ability to throw and catch we need to collect specific information or data using data collection/survey questions. In this phase of the PPDAC cycle we are planning to collect our data. This means we need to pose data collection/survey questions.
Ask students about what they think might be useful to think about when they pose their survey question(s). Gather a few key ideas to help them with this. For example:
Students pose their data collection questions. They should also think about any specific instructions, e.g. if they were going to collect information about student’s height then they may want to describe how to set up a height measuring station. Refer back to the examples that were discussed for the CensusAtSchool survey.
Give them time to work on these ideas so that the data collection methods that are decided by the students can be used. Possible data collection stations are included as examples of how the data could be collected for the variables given (Copymaster 2) and data collection questions examples are in the recording sheet (Copymaster 3).
Guidelines for good data collection questions:
Activity 3: CensusAtSchool journal set up
Towards the end of the lesson set the students up to start to collect CensusAtSchool data that requires them to record information over one week. Hand out the journals (or give access to an online version of the journal). The 2019 CensusAtSchool journal is here. A google doc version can be copied from here into your school online classroom system.
In this third session students are collecting their baseline data for throwing and catching. Your PE department may have their own processes for this.
Collecting baseline data for throwing and catching
There are three different pieces of information that are collected.
Each student will need their own data card to collect their baseline data. The data card (Copymaster 4) could be used to collect final data (and midpoint if wanted) as well.
Instructions for set up to collect throwing and catching data
Stationary catch
Students will catch the ball at three different distances from the person throwing. There will be three throws at three different distances (10m, 20m, 30m) to catch, a total of nine catches per student.
The students line up at each of the three distances and the teacher throws the ball three times to each student. The student records the number of catches for each distance on their own data card.
Moving catch
There will be three balls to catch at each of three positions. The starting positions are approximately 20m from the person batting the ball. The person batting the ball will aim to get the ball to land abut 5m from the student forcing a need to move to catch. Students line up behind each of the three positions and receive three balls to catch. Students record the number of moving catches in each position.
Throwing
The students get five throws from the throwing zone. Distance and accuracy are important. Depending on where the throw lands depends on the score. The gym is split up into zones based on a blue grid similar to the one below. The 12 larger zones should all be the same size, with the 3 higher scoring zones at the end around half the size. Students make their five throws and the score for each throw is recorded.
Collect in the data cards from the students at the end of the session. The data will be input along with other data collected in the next session.
In this session students are collecting and recording any data that needs to be collected in preparation for data entry for CensusAtSchool and for the class investigation. With a longer lesson time it is probable that there would be time for a game or similar within the lesson as well.
SLOs:
Activity 1: Collecting data for CensusAtSchool and for our class investigations
CensusAtSchool stations
Class investigations stations
And two data collection questions from the CensusAtSchool (CAS) data card
Collect in all data cards (CensusAtSchool) and all recording sheets (own investigations).
Keep these in a safe place until the data input lesson, which needs to be a week from Session 2 as the journal requires a week of data collection.
Teacher follow up activity
Prepare for student data entry for the class investigation survey/data collection questions. This could be done using a google sheet with the following column headings.
(add these later)
A PE session. Starting to develop their throwing and catching abilities.
This will include looking at the different aspects of throwing and catching technique, linking to biomechanics and look at strategies to improve. Student videos will be explored to identify which techniques are better.
Statistics focused sessions 610
The next group of sessions (610) describe the statistics component of the unit of work. These are interspersed with PE lessons. Sometimes this is a half/half split and sometimes it is a full PE or statistics lesson depending on what is being covered.
The focus of the PE sessions is developing students’ throwing and catching through specific drills and games.
This assumes one week has passed since Session 2, the journals are complete, the CAS measurements, initial throwing and catching data has been collected, and class investigation measurements have been made/done.
In this session the students are completing the CensusAtSchool online questionnaire and inputting their Crunch the coach data. There may be time for a physical activity as well.
SLOs:
Activity 1: CensusAtSchool questionnaire
Students will need:
Students complete the CensusAtSchool questionnaire online.
Activity 2: Class investigation data input
Students will need:
Students input their data into their copy of the google sheet and share with the teacher.
Teacher follow up activity
As a PE session may follow this data input session you will have a day or two to sort the data out ready for use. Both sets of data need to be put into CODAP documents for students to use.
CensusAtSchool questionnaire
Download the CensusAtSchool data for your class. Clean up the data to the variables you want to use in Session 7 and 8. Input the data into CODAP and get a sharing link for students.
For Session 7 you will need at least:
Class investigation data input
Combine student data from their google sheets. Remove names and save as a csv file. Input the data into CODAP and get a sharing link for students.
This data will be used in Session 9.
In this session students are introduced to using CODAP, common online data analysis platform, as a data analysis tool. They will start to explore summary situations. The statistical focus is on making predictions about what they expect to see and using CODAP to make statistical graphs. Summary situations are where they summarise data about one variable.
SLOs:
Activity 1: Making predictions/assertions
For given investigative questions students make predictions about what they expect to see from the data. The investigative questions are about their data that was collected for CensusAtSchool.
Problem
Put the following 10 investigative questions around the classroom on the wall (Copymaster 5). Print sufficient copies of the second page so that all students can have a copy of the list.
Note that the questions are labelled with (C) or (M), for categorical and measurement variables.
Ask what the variable in each question is  in CODAP these are called attributes.
Also ask who might be interested in finding out the answer to these investigative questions and why.
The 10 investigative questions
How do students in our class get to school? (C) Variable is mode of transport
Students select four investigative questions that interest them, they must have at least one (M) and one (C). They should tick these investigative questions on their sheet and write down what they predict the class data will show on their sheet.
They then transfer these predictions onto sticky notes and post them on the investigative questions around the room.
This will give us a broader range of predictions for any one investigative question.
Activity 2: Introduction to using CODAP
Learn how to use CODAP. CODAP is a free online analysis tool for drawing statistical graphs.
Students need to explore CODAP first before they start to use it as a data analysis tool. You can also watch a short video which goes through the basics here. You should make sure you have had a good exploration of CODAP before starting with your class. They should be able to follow through the instructions in the google doc.
Give the students 510 minutes to work through the getting started document and explore the data that is in the CODAP document. It is data on mammals.
Activity 3: Exploring CensusAtSchool data
Using class data and CODAP explore investigative questions by drawing graphs and writing about the graphs. More formal ideas on describing graphs in the next session. The focus of this activity is to become familiar with using CODAP and to start to write about graphs.
Share with the class the link to the CensusAtSchool CODAP document prepared at the end of Session 6.
Students work on the four investigative questions that they selected in activity 1. This is an initial introduction to describing graphs. At this stage it is quite open what they describe, in Session 8 we move to looking at describing the middle.
Example of possible student output (Note for the teacher: Rm 2 students are 9 years old, this is an example to show how it might look, however you will use your own class data)
Investigative question: What are the heights of the students in Room 2?
I predicted that the Room 2 heights would be around 135cm because that is my height and I think I am in the middle of heights in our class.
I notice that the heights of students in Room 2 range from 125cm to 148cm.
I notice that there is a big group of students who have heights from 128cm to 136cm.
I notice that the middle height is around 133134 cm.
I was surprised that the tallest student was a girl.
Answer to the investigative question:
The heights of students in Room 2 range from 125cm to 148cm. Most students are between 128cm and 136cm.
In this session students will be learning about describing summary distributions with a focus on describing the middle of the data.
SLOs:
Activity 1: Describing the middle
Two investigative questions are explored as we learn how to do new things in CODAP to support our data analysis.
Note: the examples below are using a fictitious Rm 2 group of students. Replace your class name in the question and the statements. The data your students use will be different to this example.
Investigative question 1: How long does it take students in Rm 2 to get to school?
Get students to make a display to answer the investigative question. They will need to choose the right variable (attribute) to display.
Introducing the idea of the median, this is the middle of the data
Make the graph using CODAP for time taken to get to school.
Select the ruler (measures) and tick count and add a movable value.
Ask the students what they see on their graph now.
If they haven’t already it might be useful to spread the x axis out a bit. This can be done by dragging the bottom corner along so that the graph is wider.
They should see a line with a number in blue with a number on the top and two values, one to the left of the line and one to the right of the line.
Discuss where the middle value would be, e.g. for this graph it would be the middle of (19+7) 26 which is 13, that is 13 on each side of the movable line.
Therefore, we want to move the movable value so that the counts are about half each side.
The place that we settle the movable value at is the middle value or the median. The median is the technical statistics term for the middle value in a set of data when the data are placed in order from smallest to largest.
Get the students to read of the middle value from their graph. In this example the middle value (OR middle time to school) is 10 minutes (always include the unit).
They should now write a statement in a text box under their graph that says…
The median time it takes students in Room 2 to travel to school is __________ minutes.
Repeat the idea for the second investigative question
Investigative question 2: What are the heights of the students in Rm 2?
Students make the graph for heights.
They click on the ruler and select count and movable value.
They move the line until they have about half on each side.
They write a statement about the middle value of their graph.
The median height for students in Rm 2 is _________cm.
This special value can be found using CODAP measures tool. Click on the ruler and then select median. They should get a red line showing the median. By hovering over this red line, they can find the median value, e.g. for time travel see picture below.
Introduce the idea of the middle 50% of the data
The “signal” for the data is often where the middle 50% of the data is.
Go back to the time travel graph
Untick median
Tick movable value (add) so there are two movable values on the graph
Discuss with the students how many people would be in the middle 50% (in this case 13). This would leave 13 outside the middle 50% or 6/7 either side.
Move the lines so that the counts match this or are very close to this.
Read the values for the middle 50%, in this case it would be 3 minutes for the bottom value and 18 minutes for the top value.
We would describe this as the middle 50% of times taken to travel to school for students in Rm 2 is between 3 minutes and 18 minutes.
Repeat idea for the heights data.
Other things to describe
In this session students start to explore their Crunch the Coach data. They are looking at summary situations  where we summarise one variable e.g. looking at the number of catches in our initial data collection, looking at the arm lengths, looking at the total number of throws etc.
SLOs:
Activity 1: Exploring Crunch the Coach data
In this activity students are using the PPDAC cycle to explore the Crunch the Coach data. Students could do the investigation in a preprepared template (Copymaster 6), or they could complete all parts within the CODAP document.
The preprepared template gives an example of using the whole PPDAC cycle, using the statistics skills they have learnt so far.
Posing summary investigative questions
This activity continues with the variables and ideas developed in the example. It is possible that some of the variables decided on by the class will be different to those below. Adjust accordingly.
In pairs decide at least two variables you want to investigate from
Students develop an investigative question or questions based on their area of interest. These are the questions they ask of the data; it is the question that they will act as data detectives, using the PPDAC cycle to answer it.
Prompts to help with posing investigative questions are:
Predictions
Once students have posed their investigative questions get them to make a prediction about what they expect to find and why they have predicted this. E.g. it is what happens with their friends; they are a good cricket, netball, basketball, softball player and used this knowledge to inform their prediction.
Data
Share with the students the Crunch the Coach data (this was prepared after Session 6).
Analysis
Students make graph(s) in CODAP. They should also find the median and the middle 50% using CODAP. The students write I notice statements about what the graph is showing them. Remembering to include the VARIABLE, VALUES and UNITS in their statements.
Conclusion
Students answer their investigative question, selecting the best evidence from their I notice statements.
Students reflect on what surprised them when they analysed their data.
Additional investigations
Repeat for a variety of variables.
Students share with rest of class through… google slides, google docs
Students are invited to reflect on other students' displays.
In this session students are introduced to scatter plots and exploring relationship situations.
The focus in this activity is on situations where the paired data is equal e.g. height and arm span. The idea is to introduce students to scatter plots by looking at where the data is equal, and then the two areas, above the “y=x” line and below the “y=x” line. Also, they can look at how close the “scatter” is to the line.
All the exploration will be done using CODAP and a different data set that has height and arm span data.
Explorations include:
SLOs:
Activity 1: Making a scatter plot
Students log in and follow the link to the CODAP document
Data set used:
https://codap.concord.org/releases/latest/static/dg/en/cert/index.html#shared=113290
Talk about how we have looked at single variables previously, e.g. height, eye colour, how they get to school
We are moving to looking at two variables, called paired variables
Show graph with two axes and labelled variable A, variable B
Make the link to graphing pairs of data (have they plotted coordinates before?)
Show example of how this works (see picture above)
Get the students to graph height and arm span on a graph in CODAP:
Once this is done they can also try making
Finding out where variable B = variable A
To analyse their initial and post data for throwing and catching the students will look to see if the post data is greater than, equal to or less than their initial data.
Add in the line arm span = height
What has changed on the graph?
Describing scatter plots
What do you notice about the arm span = height line? How many are on the line, and describe them.
What do you notice about the points above the line?
What do you notice about the points below the line?
What do you notice about the amount of scatter?
Do you notice any unusual values?
Activity 2: Finding the difference between two variables
Finding the difference between two variables  in this case between arm span and height
With the pre and post data that the students will have to analyse they will need to look at the difference between their initial throwing and catching data and their end of term throwing and catching data.
A lot of the data will likely double up, mostly all they will be able to use the scatter plot for is to show that most if not all of the students have improved, hence the importance of also looking at the difference.
To find the difference:
In this session students are collecting their end of unit throwing and catching data (or their post data). This will be done the same way as the initial or baseline data was collected. See Copymaster 4.
Teacher follow up activity
It is probably easiest to collect in the post data cards and enter the information into the google sheet, clean up the google sheet, remove student names and then download into a CODAP document to share with the students for the next session.
In this session the students will write up their analysis for the investigative questions based on the second of our explorations identified in Session 1: If instruction and practice improve our ability to throw and catch.
SLOs:
Activity 1: Using PPDAC to explore Crunch the Coach data
Overarching Problem: Did instruction and practice improve our ability to throw and catch?
Task
Problem
INVESTIGATIVE QUESTIONS – these are examples of the types of catching and throwing that could be collected, you will need to adjust according to the situation at your school.
Data
Share the link from the data you have organised at the end of the previous session with the students. Encourage them to save the CODAP document straight away.
Get students to find the difference between the final and initial numbers for the static catch, the moving catch and throwing as they will need this for their analysis (refer back to Session 10 on how to do this).
Analysis
For each investigative question students undertake statistical analysis to help them to answer the investigative question.
GRAPHING
They should:
They may want to:
DESCRIBING
They should:
Hints:
Expected evidence
Achieved  Merit  Excellence  
Analysis Displays  Plotted a scatter plot  Plotted a scatter plot and difference graph  Plotted a scatter plot and difference graph. Shows statistical insight 
Analysis Description  Described the data based on one graph  Described the data using evidence from more than one graph  Described the data using evidence from more than one graph. Shows statistical insight 
Conclusion  Attempts to answer the investigative question  Answers the investigative question using evidence  Answers the investigative question using statistical insight 
Printed from https://nzmaths.co.nz/resource/crunchcoach at 6:30am on the 28th January 2021