Focus:Hypotheses
Scope and sequence: Hypotheses,
If-then statements, Probability, Proportionality
Learning
intention: Students
plan and conduct scientific investigations to answer
questions using representations of data.
NSW Syllabus
Australian Curriculum (version
9.0)
"A
student questions, plans and conducts scientific
investigations, collects and summarises data and communicates
using scientific representations." (ST2-1WS-S)
"Students
learn to pose questions to explore observed patterns and
relationships and make predictions based on observations."
(AC9S3I01)
Introduction to questioning and predicting
Tops and tails game
This game involves the idea of probability. It only
requires two coins but it is also good to use music. The rules are as
follows:
The teacher instructs the students that they are free to move or
dance around the room while the music plays.
When the music stops the students must stop moving.
The teacher says "Top or tails?"
The students must place their hands on their head (top) or bottom
(tail). This could be both hands on their head, both hands on their
bottom, or one hand on each.
Once they have decided they must hold this pose while the teacher
tosses both coins.
'Heads' on the coin is tops and tails is tails.
The teachers read out the results of the coin toss.
Students who were in the correct pose are still 'in' but the other
children are 'out' and must sit down.
The game is repeated (and the music recommences) until a winner is
revealed.
It often works out that the remaining students exit the game at the
same time. If this happens you could either declare the last ones to
go out as the winners or replay that round until a winner is found.
Probability
Probability refers to the likelihood of something happening. Children
are already familiar with this idea when they think of the weather and
how likely it is that it might rain on a cloudy day and so on. The
following activity is based on the game rock, paper, scissors.
Children are likely to be familiar with this but the following diagram
is a reminder of which hand gesture beats the others.
Ask your students to play a few rounds of rock, paper scissors and
ask them if they think that one hand gesture is more likely to win
than another.
How many possibilities are there is a single round of rock,
paper, scissors?
Hint: The answer can also
be expressed as an exponent.(Scroll down for the answer.)
The
answer is 9 which is 3 (choices) to the power of 2 (players).
However, there are still 3 out of 9 scenarios where there is a
draw, 3 out of 9
scenarios where Player 1 wins, and 3 out of 9
scenarios where Player 2 wins. This means that the probability for
winning, losing or drawing are all 1 in 3.
Proportionality
Proportionality is the idea than one thing
can be affected by another. The most obvious example of this involves
being directly proportional where two things increase (or
decrease) together. For example, if you have more rain you will have
more water in a rain tank and vice versa. A related idea is being inversely
proportional where one thing increases while another decreases.
For example, if you walk faster you will get to your destination in a
shorter amount of time.
Pendulum activity
A pendulum is a weight suspended from a fixed point that swings
freely back and forth under the influence of gravity. For this
investigation you will need the following resources:
string,
various objects or weights,
something to attach a string to,
a stopwatch. (A classroom clock will suffice as a stopwatch if you
count larger group of swings, such as 10, and then divide the total
time by the number of swings.)
Have students work in small groups where each group has
their own pendulum.
Instruct each group to make changes to their pendulum
such as the weight on
the end of the string, the length
of the string, and the angle
of initial release.
Measure the time of the swings. Which change(s) affect
the rate of the swing?
Weight: Objects are attached the end of the string by tying
them on or using tape. Commercially made weights usually have the
weight printed on them. Classroom objects can simply be recorded by
their name (e.g., glue stick) but students should be able to
differentiate between the various informal objects according to
which were the heaviest, lightest, and so on.
Length of string: The length of the string should be
measured and noted using whichever system your region uses. For
Australian schools, this will be in centimetres (cm).
Drop angle: The drop angle might require estimation. One
way to do this is to visualise an analogue clock where the
stationary point would be 6 o’clock. You could then try releasing
the weight from the 5, 4 and 3 o’clock positions (if moving the
weight anticlockwise) or the 7, 8 and 9 o’clock positions (if moving
the weight clockwise). Each hour would equate to 30 degrees.
Number of swings: It can be difficult to measure the
duration of a single swing so the accuracy for the duration can be
improved by averaging the time taken for multiple swings. However,
this requires students to be familiar with decimals. An easier
method is to count the number of swings during a set period of time,
such as 10 seconds. This can be counted from either the release
point or the bottom of the swing as long as a full cycle is measured
each time.
Tip:
Only change one variable at a time in the shaded cells for each
duration measurement..
To indicate when one of the variables has not changed we
have used the ditto mark (″).
Avoid using the ditto mark for the number of swings as this is
important information so shortcuts are not recommended.
The following table has enough rows to change the weight,
length, and drop angle three times.
Could each change be considered to be a fair test?
Why/why not?
What was the dependent variable in each test?
The formula for pendulum swings uses mathematical symbols and
operations which most students will have never seen before such
as the square root symbol. However, thinking back to
proportionality, is the length of the string directly
proportional or inversely
proportional to the duration of each swing?
Hypotheses
A hypothesis is a proposed explanation which
can then be used for further investigation.
'If-then'
statements provide a useful structure for hypotheses. The following
video (1:12) explains the connections between hypotheses, 'if-then'
statements, and variables.
'If-then' statements are also used in coding
where they can also be called 'conditional statements'. See SILO 3.4
'Coding' for examples of conditional statements.
Fair test challenge
Make an
animation or slideshow using the following 10 statements for
the voice-over script.
You can
paraphrase or change the voice-over script but this should
get you started.
In scientific experiments a variable is something which can vary or
change.
A fair test is a controlled experiment involving an independent
variable, a dependent variable and control variable(s).
A way to remember the rules for a fair test is Cows
Moo Softly.
This means Change one thing, Measure
one thing, and keep everything else the Same.
The variable which we change is the independent variable because we
choose to change it as the focus of an experiment.
The variable which we measure is the dependent variable because it
depends on the independent variable.
Control variables need to kept the same to make it fair test.
(Design a fair test.) For example, experimenting with the baking of
bread could become a fair test by making changes to the proportions or
process.
(Write instructions with clearly defined variables.) This
experiment…
A hypothesis in a fair test can link the ‘if’ with the independent
variable and the ‘then’ with the dependent variable.
A hypothesis isn't about being right or wrong but about proof and
falsification.
A PowerPoint file containing the voice-over
scripts is available here.
The 'nervous experiment' tests the sensitivity of different
parts of your skin. Which parts are the most sensitive?
This investigation is suited to students working in pairs.
The table above will only have the numbers 1 or 2 depending
on whether the students can distinguish between 1 or 2 prongs
from the paperclip. Is there any reason to average this data?