How Science Works 11242020 Identifying Variables and Designing

How Science Works 11/24/2020 Identifying Variables and Designing Investigations

11/24/2020 Identifying variables and Designing Investigations Learning outcomes: By the end of the lesson you should be able to • Explain what the different types of variables are. • Recognise different variables in example experiments. • Understand why the consideration of variables is important when designing an experiment.

11/24/2020 Identifying variables and Designing Investigations The MANIPULATED VARIABLE • Also known as the INPUT variable. • This is the thing that you change or manipulate, the thing you are testing. • Also called the independent variable

11/24/2020 Identifying variables and Designing Investigations The RESPONDING VARIABLE • Also known as the OUTPUT variable. • Also called the dependent variable. • This is the thing that you measure or observe, it’s the results of the experiment. – You expect the dependent variable to be affected by the independent variable.

11/24/2020 Identifying variables and Designing Investigations The CONTROL VARIABLES • Any variable that you keep the same in order to allow for a ‘fair test’. • This makes sure that you are only testing one variable

11/24/2020 Identifying variables and Designing Investigations Example No. 1 • A student thinks that year 10 students will be better at doing a quiz than year 8 students. – Task 1: Write down the manipulated, responding and control variables in this experiment.

11/24/2020 Identifying variables and Designing Investigations Example No. 1 • Manipulated variable = the year group the students are in (year 10 or year 8) • Responding variable = the students scores on the quiz • Control variables = the same quiz should be used, students should have the same amount of time to complete it.

11/24/2020 Identifying variables and Designing Investigations Example No. 2 • A student has made the following prediction for an experiment; “the more caffeine I drink the quicker my reaction times will be. ” – Task 2: What are the manipulated, responding and control variables in this experiment.

11/24/2020 Identifying variables and Designing Investigations Example No. 2 • Manipulated variable = the amount of caffeine drunk by the student (e. g. number of cups of cola) • Responding variable = the students reaction times (e. g. how quick they can catch a ruler) • Control variables = the same type of drink, same method of measuring reaction time.

11/24/2020 Identifying variables and Designing Investigations Example No. 3 • The light intensity was measured at different points moving away from the trunk of a large tree in full leaf. – Task 3: What are the manipulated, responding and control variables in this experiment.

11/24/2020 Identifying variables and Designing Investigations Example No. 3 • Manipulated variable = the distance from the tree trunk. • Responding variable = the light intensity. • Control variables = the same tree used for all measurements, the same light intensity meter, the same day/weather conditions.

11/24/2020 Identifying variables and Designing Investigations Example No. 4 • Listening to music impairs your ability to study. – Task 4: What are the manipulated, responding and control variables in this experiment.

11/24/2020 Identifying variables and Designing Investigations Example No. 4 • Manipulated variable = whether the student is listening to music or not. • Responding variable = the students ability to recall information leant while listening to music (e. g. score on a memory test). • Control variables = the same type of music, the same information to be learnt.

11/24/2020 Identifying variables and Designing Investigations Designing an experiment. • The larger the surface area of a parachute, the slower the object will fall. – Task 5: design an experiment to test this hypothesis • Identify the variables – what are you going to change? How will you change it? What will you measure? How will you measure it? What needs to be kept the same to make the experiment a fair test?

11/24/2020 Identifying variables and Designing Investigations Designing an experiment. • What is the optimum temperature needed for the enzyme amylase to work? – Task 6: design an experiment to test this hypothesis • What are the manipulated and responding variables? How will you make it a fair test? How many different temperatures will you test? How will you measure the results?

11/24/2020 Identifying variables and Designing Investigations Plenary: Revisiting the learning outcomes • Show me, using your traffic lights, how well you think you have met each of the learning outcomes. – Explain what the different types of variables are. – Recognise different variables in example experiments. – understand why the consideration of variables is important when designing an experiment.