SILO 2.3 (DRAFT)

Year 2, Term 3: Fair tests

Scope and sequence: Fair tests, Variables

Focus: Variables 

Learning intention: Students identify questions of interest and define variables to guide their investigations and presentations of relevant data.

NSW Syllabus
Australian Curriculum
"A student gathers and organises data, displays data in lists, tables and picture graphs" (MA1-DATA-01).
"Students learn to acquire data for categorical variables through surveys, observation, experiment and using digital tools; sort data into relevant categories and display data using lists and tables" (AC9M2ST01).


Introduction to fair tests

This video (3:41) is a good introduction to the three main types of variables, namely:

Independent variable: The thing you change

Dependent variable: The thing you measure

Control variables: The things that stay the same.



 

Fair tests

Cows Moo Softly


(Image source http://downunderteacher.blogspot.com/2012/01/freebie-science-variables-and-job-roles.html)


Independent variables 

In science experiments, the independent variable is the thing that you change.

Dependent variables

In science experiments, the dependent variable is the thing that you measure.

Control variables

In science experiments, the control variables are the things that remain the same.


More on fair tests

This video (3:45) has a good example of a fair test using some common kitchen ingredients such as baking soda and three different types of vinegar.





Projectile investigation

The following investigation involves air rockets but it would be more precise to call these 'rockets' projectiles. This is because there is no fuel to keep the rocket moving after the initial launch force provided by your foot pushing down on the air as shown in the short video (0:08) below.


The image below shows that 45 degrees should give you the longest distance.


(Image source https://stickmanphysics.com/stickman-physics-home/two-dimensional-motion/projectile-motion/ © https://stickmanphysics.com/)

The projectile below is set to launch at 40 degrees.


Note: Although 45 degrees should give you the greatest distance, in sports such as golf you would also need to consider that rolling is part of your objective as it is about where the ball lands, but also, where the ball comes to rest. Due to the design of various gold clubs (such as drivers) the angle is often much smaller than 45 degrees.

Investigation steps


The data is best analysed back in the classroom. It is highly likely that there will be irregularities in the data which will appear to disprove the hypothesis.

Was this a fair test? Why/why not?

Which elements of the air rocket activity fit the criteria for fair tests?

Which elements cannot be easily controlled?



Reflex activity

This activity can be done in pairs using a ruler, paper and a pencil.


Correlation across data sets

Sometimes there might seem to be correlations across data sets which are best described as coincidences such as in the following example:


By Tyler Vigen, CC BY 4.0, https://commons.wikimedia.org/w/index.php?curid=48043945

 


Moderated self-assessment

Discussions with students around the key components of conceptual topics and how they fit together can generate insights into student achievement.


Articulating a continuum of learning for fair tests

A continuum of learning for fair tests on a scale of 1 to 10 could be benchmarked as follows:

A student: (1) defines a variable; (2) outlines the requirements of a fair test; (3) can discuss the requirements of a fair test from memory in any order; (4) can explain why the independent variable is the focus of an experiment; (5) can measure the dependent variable and relate this measurement to the independent variable; (6) can explain why an experiment is only a fair test if the control variable(s) can be kept constant; (7) designs their own fair test; (8) writes instructions for their fair test with clearly defined variables; (9) formulates a hypothesis for their fair test; (10) can explain the relationship between fair tests and hypotheses.


We welcome your feedback and suggestions

The chief investigator for The SILO Project is Associate Professor Brendan Jacobs, Head of Department STEM Education, University of New England. The SILO Project thrives on incremental improvement so constructive feedback is greatly appreciated. Please contact Brendan via email at bjacobs7@une.edu.au to share your thoughts and recommendations.


 

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