Working scientifically (KS3)
By the end of this chapter you will be able to
- Name the independent, dependent and control variables in a fair test
- Plan a fair test and a risk assessment for a practical
- Find a mean from repeat readings and spot an anomaly
- Work out a range as a simple measure of uncertainty
- Choose and draw a suitable table or graph, with labels and units
- Write a conclusion that matches the data, and evaluate a method
You should already know
- Fair tests and tables from primary school science
- Reading scales and measuring with rulers and timers
Where this leads
- Cells and microscopes, which uses magnification and measurement (Chapter 2)
- Every later chapter uses these skills in its practical sections
National Curriculum for England, Key Stage 3 science, Year 7. Content: WS1 ask questions, plan enquiries and fair tests, and identify and control variables, WS2 assess risk and use apparatus and materials safely, WS3 take measurements with accuracy and precision, and repeat readings where needed, WS4 record and present data in tables, bar charts, line graphs and scatter graphs, WS5 evaluate methods, evidence and conclusions, including anomalies and uncertainty, WS6 use scientific models and evidence to support or refute ideas.
Exercise P Do you remember?
Method. Recall the name of a careful test.
- Recall. A test where only one thing changes is called a fair test.fair test
- Write the answer. fair test
Check. A fair test lets us say the change caused the result. ✓
Method. Use the metric prefix centi, which means one hundredth.
- Recall the fact. There are 100 centimetres in 1 metre.1 m = 100 cm
- Write the answer. 100
Check. So 2 metres is 200 centimetres. ✓
Method. Add the numbers, then divide by how many there are.
- Add. The total is 4 + 6 + 8 = 18.18
- Divide. There are 3 numbers, so 18 divided by 3.18 / 3 = 6
- Write the answer. 6
Check. Check: 6 + 6 + 6 = 18. ✓
Method. Recall the name.
- Recall. The variable we change on purpose is the independent variable.independent variable
- Write the answer. independent variable
Check. We plot it on the horizontal axis of a graph. ✓
Method. Compare the smallest unit each one shows.
- Compare. A stopwatch shows hundredths of a second, which is a much smaller step than a minute.hundredths
- Decide. So the stopwatch is more precise for timing.stopwatch
- Write the answer. stopwatch
Check. Smaller steps on a scale mean more precise readings. ✓
Asking questions and variables
Good scientific questions can be tested by collecting data. A prediction is what you expect to happen, and it should give a reason. A hypothesis is a testable statement that links two variables.
In an enquiry there are three kinds of variable:
- the independent variable is the one you change on purpose;
- the dependent variable is the one you measure, and it depends on the change;
- the control variables are the ones you keep the same.
Key ideas
- A testable question names an independent variable and a dependent variable.
- A prediction states what you expect and gives a reason.
- Control variables are kept the same so the test is fair.
- Only one independent variable should change in a fair test.
Method. Find the variable we deliberately change.
- Read the question. Ruby changes how high the ramp is, on purpose.height of the ramp
- Name the variable. The changed variable is the independent variable.independent variable
- Write the answer. the height of the ramp
Check. The distance is the variable that is measured. ✓
Method. Find the variable we record.
- Read the question. Ruby records how far the car travels on the floor.distance travelled
- Name the variable. This is the dependent variable, because it depends on the height.dependent variable
- Write the answer. the distance travelled
Check. Changing the height changes the distance. ✓
Method. Think about what else could affect the distance.
- List the factors. The car, the floor and the starting point could all affect the distance.car, floor, starting point
- Choose one. We keep the same car each time.the same car
- Write the answer. the same car
Check. Other control variables include the floor and the starting point. ✓
Watch out
Watch out: a control variable is kept the same. Do not write the thing that is changed, and do not write the thing that is measured.
Exam tip
Exam tip. When asked for a variable, name it clearly, for example “the height of the ramp”, not just “height”.
Try it (with your teacher, or a grown-up at home). Ask a question that you can test with a ruler and a toy car on a book, such as “Does a steeper slope make the car go further?” Write the independent variable, the dependent variable and two control variables before you start.
Exercise 1A Asking questions and variables
Method. Find the variable that is changed.
- Read the test. Ruby changes how high the ramp is.height of the ramp
- Write the answer. the height of the ramp
Check. This is the independent variable. ✓
Method. Find the variable that is recorded.
- Read the test. Ruby measures how far the car goes along the floor.distance travelled
- Write the answer. the distance travelled
Check. This is the dependent variable. ✓
Method. Think about what else affects the distance.
- List the factors. The car, the floor and the starting point all affect the distance.car, floor, starting point
- Choose one. Any one of these must be kept the same.one control variable
- Write the answer. Accept any one of: the same car, the same floor, the same starting point, the same push.
Check. Keeping them the same keeps the test fair. ✓
Method. Check whether we can measure an answer.
- Check. We can change the height and measure the distance.measure the distance
- Decide. So the question can be tested.yes
- Write the answer. yes
Check. Good questions name two variables we can measure. ✓
Method. Think about the timing.
- Check the timing. The test has not been done yet, so the statement is what the pupil expects.not done yet
- Decide. So it is a prediction.prediction
- Write the answer. prediction
Check. A conclusion comes after the data has been collected. ✓
Method. Find the variable that is changed on purpose.
- Read the test. The temperature of the water is changed on purpose.temperature
- Write the answer. temperature
Check. The time to dissolve is measured. ✓
Method. Find the variable that is measured.
- Read the test. The time it takes for the sugar to dissolve is recorded.time taken to dissolve
- Write the answer. the time taken to dissolve
Check. The dependent variable depends on the independent variable. ✓
Method. Find the variable Mo changes.
- Read the question. Mo changes the colour of the car on purpose.colour of the car
- Name it. So the colour of the car is the independent variable.colour of the car
- Write the answer. the colour of the car
Check. The distance is measured. ✓
Method. Use the three parts of the sentence.
- Name the change. If we make the ramp higher.higher ramp
- Name the result. then the car will travel further.travel further
- Give a reason. because a higher ramp gives the car more energy from its position at the top.more energy
- Write the answer. Accept any prediction that links a higher ramp to a longer distance, with a reason such as more energy at the top.
Check. A prediction can be checked by the data. ✓
Method. Think about what the car does.
- Think about the result. We would measure how far the car rolls after the ramp.how far
- Write one observation. So the observation is the distance travelled on the floor.distance travelled
- Write the answer. Accept any observation of the car, such as the distance it travels along the floor, measured from the end of the ramp.
Check. The observation must match the dependent variable. ✓
Method. Think about what else could change.
- Think about the cause. A different starting point gives a different distance even at the same height.different distance
- Think about fairness. So only the height may change, and the test is fair.only the height
- Write the answer. Accept any sentence that says a different starting point would change the distance, so the test would not be fair.
Check. A fair test changes only one variable. ✓
Method. Count the changed variables.
- Count. She changed two variables, the height and the car colour.two variables
- Decide. A fair test changes only one variable, so Ruby is not right.no
- Write the answer. no
Check. Only one independent variable should change. ✓
Method. Think about other causes.
- Think about other causes. The floor, the car and the starting point could also change the distance.other causes
- Think about the test. A fair test, with only height changed, is needed before we say height is the cause.fair test
- Write the answer. Accept any sentence that says other variables could change the distance too, so a fair test is needed to show the cause.
Check. Correlation is not proof; a fair test is needed. ✓
Planning a fair test and managing risk
A hazard is something that could cause harm. A risk is the chance that harm will happen, and how serious it could be. A risk assessment names the hazards, the risks, and the control measures that reduce them.
A fair test is planned before practical work starts. Decide the independent variable, the dependent variable, how you will measure it, how many repeats you will do, and which control variables you will keep the same.
The table shows three hazards from practical work and a control measure for each.
| Hazard | Harm it could cause | Control measure |
|---|---|---|
| hot water in a beaker | scalds the skin | use tongs and a heatproof mat; wear eye protection |
| a sharp scalpel | cuts the skin | cut away from your body; keep it on the bench |
| a glass thermometer | breaks and cuts | hold it by the top; never rest it on the bottom of a tank |
Key ideas
- A hazard is something that could cause harm.
- A risk is the chance of harm happening, and how serious it could be.
- Control measures reduce the risk, for example tongs, eye protection and a heatproof mat.
- Plan the repeats and the control variables before the practical.
Method. Find what could cause harm.
- Look at the apparatus. Hot water can cause a scald if it touches the skin.hot water
- Name the hazard. The hazard is the hot water in the beaker.hot water in a beaker
- Write the answer. hot water in a beaker
Check. The hazard is not the same as the risk. ✓
Method. Think about how to keep your hands away from the water.
- Think about the contact. Tongs keep your hands away from the hot beaker.tongs
- Write the measure. Use tongs and a heatproof mat.use tongs
- Write the answer. Use tongs and a heatproof mat.
Check. Any sensible control measure that reduces contact is correct. ✓
Method. Count the heights in the plan.
- Count. The heights listed are 10 cm, 20 cm and 30 cm.10, 20, 30
- Write the number. So three heights are tested.3
- Write the answer. 3
Check. Three heights, one number each. ✓
Watch out
Watch out: a risk assessment names the control measures for each hazard. Naming a hazard without a control measure is not a complete plan.
Exam tip
Exam tip. In a risk question, give the hazard and one control measure that reduces it.
Try it (with your teacher, or a grown-up at home). With your teacher, plan a fair test for a toy car on a ramp. Write the independent variable, the dependent variable, two control variables, and one hazard with its control measure. Ask your teacher to check your plan before you start.
Exercise 1B Planning a fair test and managing risk
Method. Recall the word.
- Recall. Something that could cause harm is a hazard.hazard
- Write the answer. hazard
Check. A hazard is a source of harm; a risk is the chance of harm. ✓
Method. Recall the word.
- Recall. The chance that harm happens, and how serious it could be, is the risk.risk
- Write the answer. risk
Check. Risk is about likelihood and seriousness. ✓
Method. Think about what protects the eyes.
- Think about the body part. Eyes need protecting from splashes and flying glass.eyes
- Write one item. Safety glasses or goggles protect the eyes.safety glasses
- Write the answer. Accept any one of: safety glasses, goggles.
Check. Wearing eye protection reduces the risk of splashes. ✓
Method. Think about the hot water.
- Think about the heat. Hot water can scald the skin.scald
- Decide. So the hot water is a hazard.yes
- Write the answer. yes
Check. A hazard can be a hot liquid or a sharp tool. ✓
Method. Recall the name.
- Recall. Actions that reduce a risk are called control measures.control measures
- Write the answer. control measures
Check. Control measures are written in a risk assessment. ✓
Method. Think about one reading.
- Think about one reading. A single reading could be a fluke, or a mistake.a fluke
- Think about repeats. Repeats show whether the result is reliable, and let us find a mean.mean
- Write the answer. Accept any sentence that says repeats show whether a result is reliable, and let us find a mean.
Check. Three repeats are the usual minimum in school. ✓
Method. Count the changes.
- Count. The height changes and the car also changes.two changes
- Decide. Changing the car as well as the height is not fair, so the plan is not fair.no
- Write the answer. no
Check. Keep the car the same. ✓
Method. Judge each measure.
- A. Holding the blade is dangerous.not safe
- C. Passing it blade first can cut the hand.not safe
- B. Cutting away from the body reduces the risk of cutting yourself.safe
- Write the answer. B
Check. The sensible measure keeps the blade pointing away from you. ✓
Method. Think about what a risk assessment includes.
- List the parts. A risk assessment names the hazard, the risk and the control measures.hazard, risk, control
- Choose one. For example, the teacher must supervise the heating.supervise
- Write the answer. Accept any one of: a control measure such as eye protection, the hazard of the hot liquid, or a teacher must supervise.
Check. A heated liquid is a hazard and needs a teacher present. ✓
Method. Check the parts of a risk assessment.
- Check. A complete assessment names the hazard and the control measure.hazard and control
- Decide. Ruby has not named the hazard, so the assessment is not complete.no
- Write the answer. no
Check. Both parts are needed. ✓
Method. Think about the hazard.
- Think about the hazard. A hazard stays even when the practical looks safe.stays
- Think about the control. Only the control measures reduce the risk, so they must be used.must be used
- Write the answer. Accept any sentence that says a hazard can still cause harm if the control measures are not used, so the plan must be followed.
Check. Safety depends on following the plan. ✓
Accuracy, precision, repeats and anomalies
Precision is how close repeated readings are to each other. Accuracy is how close a reading is to the true value. A ruler marked in millimetres is more precise than one marked in centimetres.
Repeat each reading at least three times. The mean is the total divided by the number of readings. An anomaly is a result that does not fit the pattern, and it should be checked. A result can be left out of the mean only with a clear reason, such as a mistake in the measurement.
The range is the biggest reading minus the smallest. It is a simple measure of uncertainty: the readings spread across the range.
The table shows the three trials for each ramp height. The 150 cm trial for the 30 cm ramp is an anomaly.
| Ramp height (cm) | Trial 1 (cm) | Trial 2 (cm) | Trial 3 (cm) |
|---|---|---|---|
| 10 | 50 | 48 | 52 |
| 20 | 88 | 92 | 90 |
| 30 | 120 | 126 | 150 |
Key ideas
- Precision: repeated readings close together.
- The mean = total of the readings divided by how many readings.
- An anomaly must be checked, and left out of the mean only with a reason.
- The range = biggest reading minus smallest reading.
Method. Add the trials, then divide by three.
- Add. The total is 50 + 48 + 52 = 150.150
- Divide. Divide the total by 3.150 / 3 = 50
- Write the answer. 50 cm
Check. Three trials that add to 150 have a mean of 50. ✓
Method. Find the reading that does not fit the pattern.
- Compare. The 10 cm and 20 cm trials are close together, but 150 is much bigger than 120 and 126.much bigger
- Check. The check shows the trial did not fit, so it is the anomaly.anomaly
- Write the answer. 150 cm
Check. The other two trials are close to each other. ✓
Method. Subtract the smallest reading from the biggest.
- Find the biggest. The biggest reading is 52 cm.52
- Find the smallest. The smallest reading is 48 cm.48
- Subtract. The range is 52 minus 48.52 - 48 = 4
- Write the answer. 4 cm
Check. The readings lie within 2 cm either side of the mean of 50 cm. ✓
Watch out
Watch out: do not drop a reading just because it is inconvenient. Only leave an anomaly out when you can give a reason, and say so in your report.
Exam tip
Exam tip. When you find a mean, always show the total and the number you divided by.
Try it (with your teacher, or a grown-up at home). Roll a toy car down a ramp three times at the same height, and measure how far it goes each time with a ruler. Find the mean and the range. Do the three readings agree closely? Write down whether the result is precise.
Exercise 1C Accuracy, precision, repeats and anomalies
Method. Add, then divide by 3.
- Add. The total is 88 + 92 + 90 = 270.270
- Divide. Divide 270 by 3.270 / 3 = 90
- Write the answer. 90 cm
Check. Three numbers that add to 270 have a mean of 90. ✓
Method. Subtract the smallest from the biggest.
- Find the biggest. The biggest is 92 cm.92
- Find the smallest. The smallest is 88 cm.88
- Subtract. The range is 92 minus 88.92 - 88 = 4
- Write the answer. 4 cm
Check. The range of 4 cm is small, so the readings are precise. ✓
Method. Look for the reading that does not fit.
- Compare. The 30 cm trials are 120, 126 and 150 cm. 150 is far bigger than the other two.150
- Decide. So 150 cm is the anomaly.150 cm
- Write the answer. 150 cm
Check. The other two trials are close together. ✓
Method. Compare the smallest step on each ruler.
- Compare. Millimetres are smaller steps than centimetres, so the readings can be closer.smaller steps
- Decide. So the millimetre ruler is more precise.millimetres
- Write the answer. millimetres
Check. Smaller steps allow finer readings. ✓
Method. Think about why we repeat.
- Think about repeats. Repeats show whether the result is consistent.consistent
- Name the word. Results that are consistent are reliable.reliable
- Write the answer. reliable
Check. Reliable results can be trusted. ✓
Method. Use the two trials that fit the pattern.
- Choose the trials. The two trials that fit are 120 cm and 126 cm.120 and 126
- Add. The total is 120 + 126 = 246.246
- Divide. Divide by 2, because there are two trials.246 / 2 = 123
- Write the answer. 123 cm
Check. Leaving out the anomaly gives a mean of 123 cm. ✓
Method. Add all three trials, then divide by three.
- Add. The total is 120 + 126 + 150 = 396.396
- Divide. Divide by 3.396 / 3 = 132
- Write the answer. 132 cm
Check. The anomaly raises the mean by 9 cm. ✓
Method. Check the trials.
- Check the trials. The trials were 50, 48 and 52 cm, so the distance changes a little each time.changes
- Decide. A mean of 50 cm does not mean every trial is 50 cm, so Ben is not right.no
- Write the answer. no
Check. The mean hides the spread of the readings. ✓
Method. Use the range to find the spread.
- Use the trials. The lowest trial is 48 cm and the highest is 52 cm.48 and 52
- Write the range. So the readings were between 48 cm and 52 cm.48 to 52
- Write the answer. 48 cm to 52 cm
Check. The mean of 50 cm is in the middle of the range. ✓
Method. Compare the smallest step.
- Compare. Hundredths of a second are much smaller steps than whole seconds.smaller steps
- Decide. So the stopwatch is more precise.yes
- Write the answer. yes
Check. Smaller steps give more precise readings. ✓
Method. Think about the effect on the mean.
- Think about the effect. Leaving out a result changes the mean.changes the mean
- Think about honesty. Without a reason the change could be biased, so a reason must be recorded.biased
- Write the answer. Accept any sentence that says leaving out results without a reason can hide real data or bias the mean, so a reason must be given.
Check. Good scientists explain every decision about data. ✓
Method. Think about why a reading can be wrong.
- Think about the cause. The car may have been pushed, or the ruler may have been read wrongly.pushed or misread
- Think about the check. Repeat the trial carefully, and compare the new reading with the others.repeat
- Write the answer. Accept any sensible reason, such as the car was pushed, and any check, such as repeating the trial and comparing.
Check. An anomaly needs checking before it is accepted or left out. ✓
Recording and presenting data
Choose the graph from the type of data. Categoric data are groups, such as colours; they are shown in a bar chart, with a gap between the bars. Continuous data can take any value in a range; a scatter graph shows two sets of such values and can show a correlation. A line of best fit is a straight line drawn through the middle of the points.
Every graph needs a title, labelled axes with units, and an even scale.
The table gives the mean distance for each height, with the anomaly left out of the 30 cm mean.
| Ramp height (cm) | Mean distance (cm) |
|---|---|
| 10 | 50 |
| 20 | 90 |
| 30 | 123 |
Key ideas
- Categoric data (groups) go in a bar chart.
- Continuous data go in a scatter graph or a line graph.
- Put the independent variable on the horizontal axis.
- Always label the axes with units, and give the graph a title.
Method. Decide whether the data are groups.
- Look at the data. The colours are groups, not numbers on a continuous scale.groups
- Choose the graph. Groups of data are shown in a bar chart.bar chart
- Write the answer. bar chart
Check. A line of best fit is only for continuous data. ✓
Method. Read the bar for 20 cm.
- Find the bar. The middle bar is for the 20 cm ramp.20 cm
- Read the top. The top of that bar is at 90 cm.90
- Write the answer. 90 cm
Check. The table also gives 90 cm for 20 cm. ✓
Method. Recall where the independent variable goes.
- Recall. The independent variable is the one we change, so it is plotted on the horizontal axis.horizontal
- Apply it. Here the ramp height is changed, so it goes on the horizontal axis.ramp height
- Write the answer. the ramp height
Check. The distance is plotted on the vertical axis. ✓
Watch out
Watch out: a bar chart has gaps between the bars. A scatter graph has points, and you may draw a line of best fit through them.
Exam tip
Exam tip. Every axis needs a label and a unit. Without units, a graph loses marks.
Try it (with your teacher, or a grown-up at home). Use a ruler to measure how far a toy car travels from three ramp heights, three times each. Draw a bar chart of the means, with labelled axes and a title. Then draw a scatter graph of the same means, and a line of best fit by eye.
Exercise 1D Recording and presenting data
Method. Decide whether the data are groups.
- Check the data. Sweets of each colour are groups.groups
- Choose. Groups are shown in a bar chart.bar chart
- Write the answer. bar chart
Check. Bars do not touch in a bar chart. ✓
Method. Think about continuous data.
- Think about the data. A measured height can take any value in a range.any value
- Choose. Continuous data are plotted as points on a scatter graph or a line graph.scatter graph
- Write the answer. scatter graph
Check. A line graph is also correct for time against distance. ✓
Method. Read the bar for 30 cm.
- Find the bar. The bar on the right is for the 30 cm ramp.30 cm
- Read the top. The top of the bar is at 123 cm.123
- Write the answer. 123 cm
Check. This is the mean with the anomaly left out. ✓
Method. Recall the independent variable.
- Recall. The independent variable goes on the horizontal axis.horizontal
- Apply. The ramp height is the independent variable.ramp height
- Write the answer. ramp height
Check. The distance goes on the vertical axis. ✓
Method. Look at what is measured.
- Look. The vertical axis shows the mean distance.mean distance
- Choose the unit. Distance in this test is measured in centimetres.cm
- Write the answer. cm
Check. Every axis needs a unit. ✓
Method. Think about what a reader needs.
- Think about the reader. A reader needs to know what the graph is about straight away.straight away
- Write the answer. A title names the variables and what is compared.variables
- Write the answer. Accept any sentence that says what the graph shows, such as the variables and what is being compared.
Check. A clear title saves the reader time. ✓
Method. Subtract the smaller mean from the bigger mean.
- Read the means. The 30 cm mean is 123 cm and the 10 cm mean is 50 cm.123 and 50
- Subtract. The difference is 123 minus 50.123 - 50 = 73
- Write the answer. 73 cm
Check. 50 + 73 = 123. ✓
Method. Compare the bars.
- Compare. The 10 cm bar is 50 cm, the 20 cm bar is 90 cm and the 30 cm bar is 123 cm.50, 90, 123
- Decide. The 30 cm bar is the tallest, so Ellie is not right.no
- Write the answer. no
Check. The tallest bar is for 30 cm. ✓
Method. Use the variable and its unit.
- Name the variable. The vertical axis shows the mean distance.mean distance
- Add the unit. Distance in this test is in centimetres.mean distance (cm)
- Write the answer. mean distance (cm)
Check. Words and a unit make the label complete. ✓
Method. Think about the pattern.
- Think about the trend. The line shows the overall pattern in the points.pattern
- Think about use. It can be used to estimate a value between or beyond the points.estimate
- Write the answer. Accept any sentence that says the line shows the trend or pattern in the points, and can be used to estimate values.
Check. The line does not need to pass through every point. ✓
Method. Check the table for missing parts.
- Check the headings. Headings should have the units.units
- Check the content. A mean column helps the reader compare the heights.mean column
- Write the answer. Accept any sensible improvement, such as adding units to the column headings, or adding a column for the mean.
Check. A good table has clear headings and units. ✓
Method. Think about the data type.
- Think about the heights. The heights are numbers that can take any value, so they are continuous.continuous
- Think about the pattern. A scatter graph shows how the distance changes as the height changes.changes
- Write the answer. Accept any sentence that says the heights are continuous values, so a scatter graph shows the relationship between them more clearly.
Check. The shape of the relationship is clearer on a scatter graph. ✓
Evaluating evidence, conclusions and models
A conclusion must match the data. It should say what the data show, and it should not claim more than the data show. Evaluating a method means deciding what went well, what could be improved, and how much you can trust the result.
Scientists use models to explain observations, for example the particle model explains why gases spread out. A model is supported when the evidence fits it, and it is refuted when evidence does not fit. Ideas change when the evidence changes.
Key ideas
- A conclusion matches the data and does not claim more.
- Evaluation covers the method, the repeats, anomalies and the uncertainty.
- Evidence supports an idea when it fits the idea, and refutes it when it does not.
- Improvements should target the biggest weakness in the method.
Method. Check whether the mean rises as the height rises.
- Read the means. The mean goes up from 50 cm to 90 cm to 123 cm as the height goes up.goes up
- Decide. The data support the conclusion, so the answer is yes.yes
- Write the answer. yes
Check. The pattern holds for all three heights. ✓
Method. Find the weakest part of the method.
- Look at the method. The 30 cm anomaly was left out, so more repeats would show if it happens again.more repeats
- Write the improvement. Repeat each height at least five times, and record any anomaly with a reason.five times
- Write the answer. Repeat each height at least five times, and record any anomaly with a reason.
Check. Any sensible improvement that addresses a weakness is correct. ✓
Method. Check whether the observation fits the model.
- Read the observation. A gas spreads out to fill its container.spreads out
- Decide. Moving particles spread out to fill the space, so the observation fits the model.yes
- Write the answer. yes
Check. Evidence that fits a model supports it. ✓
Watch out
Watch out: a conclusion should say what the data show, not what you hoped for. Do not say “proves” when the test only shows a pattern.
Exam tip
Exam tip. In an evaluation, name one strength, one weakness and one improvement that would fix the weakness.
Try it (with your teacher, or a grown-up at home). Write a conclusion from your ramp results in one sentence, using the words “the data show”. Then write one thing that would make the test more reliable next time.
Exercise 1E Evaluating evidence, conclusions and models
Method. Check the direction of the change.
- Read the means. The distance rises as the ramp height rises.rises
- Decide. So the data are consistent with the conclusion.yes
- Write the answer. yes
Check. The data support the pattern. ✓
Method. Recall what a conclusion is based on.
- Recall. A conclusion must match what the data show.match
- Write the answer. data
Check. A conclusion cannot claim more than the data show. ✓
Method. Think about the number of repeats.
- Think about the sample. Three repeats give only a small sample of results.small sample
- Think about reliability. So the mean may not be reliable.reliable
- Write the answer. Accept any sentence that says three repeats may not show all variation, so the mean may not be reliable.
Check. More repeats give a more reliable mean. ✓
Method. Recall which model explains gases.
- Recall. The particle model describes gases as moving particles that spread out.particle model
- Write the answer. particle model
Check. Particles in a gas are far apart and move randomly. ✓
Method. Think about evidence that fits.
- Think about the fit. Evidence that fits an idea supports it.fits
- Name the word. So the evidence supports the idea.supports
- Write the answer. supports
Check. Evidence that does not fit refutes the idea. ✓
Method. Choose the improvement that addresses the weakness.
- Think about the weakness. Small numbers of repeats make the mean less reliable.less reliable
- Choose. More repeats improve reliability, but a different colour does not.more repeats
- Write the answer. more repeats
Check. The improvement should target the weakness. ✓
Method. Check how far the data go.
- Check the test. The test shows a pattern, but other variables may not have been fully controlled.pattern
- Decide. So his claim goes beyond the data, and the answer is yes.yes
- Write the answer. yes
Check. A pattern is not the same as proof. ✓
Method. Think about what the test measured.
- Think about the test. Only one car on one floor was tested.one car
- Think about the claim. So the mean cannot be generalised to every car.generalised
- Write the answer. Accept any sentence that says the mean is only for this car and floor, so it cannot be generalised to all cars.
Check. Results apply to the conditions tested. ✓
Method. Think about how friction would be tested.
- Think about the test. We would need to compare the distance on a rougher surface.rougher surface
- Think about the evidence. A shorter distance on the rougher surface would be evidence that friction matters.shorter
- Write the answer. Accept any one piece of evidence, such as measuring the distance on a surface with more friction, and comparing the two results.
Check. Evidence for a claim must be tested. ✓
Method. Think about the model.
- Think about the model. A model is our best explanation of the evidence so far.best explanation
- Think about new evidence. When evidence does not fit, the model must be improved or replaced.improved
- Write the answer. Accept any sentence that says a model is a best explanation, so when new evidence does not fit, the model must be changed or replaced.
Check. Scientific ideas change when the evidence changes. ✓
Chapter summary
| Skill | Method |
|---|---|
| Variables | Change the independent variable, measure the dependent variable, keep the control variables the same. |
| Risk | Name the hazard and one control measure for each practical. |
| Repeats and means | Repeat at least three times. Mean = total divided by the number of readings. |
| Anomalies and range | Check an anomaly, and leave it out only with a reason. Range = biggest minus smallest. |
| Graphs | Bar chart for groups. Scatter graph for continuous data. Label axes with units. |
| Evaluation | A conclusion must match the data. Evaluate the method, and name an improvement. |
Can you…?
- I can name the independent, dependent and control variables in a fair test
- I can plan a fair test with a risk assessment
- I can find a mean and a range from repeat readings
- I can spot an anomaly and say why it may be left out
- I can choose and draw a bar chart or a scatter graph with labels and units
- I can write a conclusion that matches the data, and evaluate a method
Key terms
- independent variable
- the variable that we change on purpose
- dependent variable
- the variable that we measure; it depends on the independent variable
- control variable
- a variable that is kept the same so the test is fair
- hazard
- something that could cause harm
- risk
- the chance of harm happening, and how serious it could be
- control measure
- an action that reduces a risk
- precision
- how close repeated readings are to each other
- accuracy
- how close a reading is to the true value
- anomaly
- a result that does not fit the pattern of the others
- range
- the biggest reading minus the smallest reading
- uncertainty
- how much a result could vary; the spread of the readings
- line of best fit
- a straight line drawn through the middle of the points on a scatter graph
Exercise 1Z Check-up
Method. Recall the definition.
- Recall. The independent variable is the variable we change on purpose.changed on purpose
- Write the answer. changed on purpose
Check. It is plotted on the horizontal axis. ✓
Method. Add, then divide by 3.
- Add. The total is 10 + 12 + 14 = 36.36
- Divide. Divide 36 by 3.36 / 3 = 12
- Write the answer. 12
Check. Three numbers adding to 36 have a mean of 12. ✓
Method. Think about how the cut is made.
- Think about the cut. Cutting away from the body keeps the blade away from the hands.away from body
- Write one measure. Use a cutting mat as well.cutting mat
- Write the answer. Accept any one: cut away from your body, keep the blade pointing away, use a cutting mat.
Check. Any sensible measure that reduces contact is correct. ✓
Method. Look for the reading that does not fit.
- Compare. The first three readings are close to each other, and 90 is far from them.far from them
- Decide. So 90 is the anomaly.90
- Write the answer. 90
Check. Leave out an anomaly only with a reason. ✓
Method. Subtract the smallest from the biggest.
- Find the biggest. The biggest is 42 cm.42
- Find the smallest. The smallest is 40 cm.40
- Subtract. The range is 42 minus 40.42 - 40 = 2
- Write the answer. 2 cm
Check. A small range means precise readings. ✓
Method. Decide whether the data are groups.
- Check. Colours are groups, so the data are categoric.groups
- Choose. Categoric data are shown in a bar chart.bar chart
- Write the answer. bar chart
Check. Bars are separate for each group. ✓
Method. Recall the rule for a fair test.
- Recall. A fair test changes only one variable.one variable
- Write the answer. one variable
Check. Keeping others the same makes the test fair. ✓
Method. Recall the word.
- Recall. The chance of harm, and how serious it could be, is the risk.risk
- Write the answer. risk
Check. Hazard is the source; risk is the chance and seriousness. ✓
Method. Subtract the smaller mean from the bigger mean.
- Read the means. The means are 50 cm and 90 cm.50 and 90
- Subtract. The rise is 90 minus 50.90 - 50 = 40
- Write the answer. 40 cm
Check. 50 + 40 = 90. ✓
Method. Think about what repeats show.
- Think about consistency. Repeats show whether the results agree with each other.agree
- Think about the mean. A mean from repeats is more reliable, and anomalies become visible.more reliable
- Write the answer. Accept any sentence that says repeats show whether results are consistent, and allow a mean and a check on anomalies.
Check. Repeats make results more reliable. ✓
Total 16 marks. Allow about 16 minutes.
Exercise 1X Practice test questions
Method. Subtract the smaller mean from the bigger mean.
- Read the means. The means are 90 cm and 50 cm.90 and 50
- Subtract. The difference is 90 minus 50.90 - 50 = 40
- Write the answer. 40 cm
Check. 50 + 40 = 90. ✓
Method. Add, then divide by 3.
- Add. The total is 20 + 22 + 21 = 63.63
- Divide. Divide 63 by 3.63 / 3 = 21
- Write the answer. 21 cm
Check. Three results adding to 63 have a mean of 21. ✓
Method. Find the variable we record.
- Read the test. The distance a car travels is recorded.distance travelled
- Write the answer. distance travelled
Check. This is the dependent variable. ✓
Method. Think about what must stay the same.
- Think about the test. The car, the floor and the start point must be kept the same.kept the same
- Write the answer. Accept any one of: the same car, the same floor, the same starting point.
Check. Control variables are kept the same. ✓
Method. Name the hazard, then one control measure.
- Name the hazard. The hazard is the hot water.hot water
- Name the control measure. Use tongs to hold the beaker.use tongs
- Write the answer. hot water; use tongs
Check. Both parts of the risk assessment are given. ✓
Method. Check the trials.
- Check the trials. The trials were 50, 48 and 52 cm, so they are not all 50 cm.48 and 52
- Decide. The mean does not show the spread, so the answer is no, because of the spread.spread
- Write the answer. no; spread
Check. The range of 4 cm shows the spread. ✓
Method. Think about continuous data.
- Recall. Continuous data are plotted as points on a scatter graph.scatter graph
- Write the answer. scatter graph
Check. A line graph is also correct for continuous data over time. ✓
Method. Think about when an anomaly is a mistake.
- Think about the mistake. An anomaly caused by a clear mistake, such as a pushed car, can be left out.pushed car
- Think about the reason. A clear reason must be recorded with the result.recorded
- Write the answer. Accept any sentence that says it was a mistake in the measurement, with a reason given.
Check. A reason must always be given. ✓
Method. Look at the means.
- Look at the means. The mean rises from 50 cm to 90 cm to 123 cm as the height rises.rises
- Write the conclusion. So a higher ramp gives a longer distance, for the heights tested.longer distance
- Write the answer. Accept any sentence that says a higher ramp gives a longer distance, in the range tested.
Check. The conclusion matches the data and is limited to the range tested. ✓
Method. Look at what the axis shows.
- Look. The distance axis shows the mean distance in centimetres.centimetres
- Write the answer. cm
Check. The ramp height axis is also in centimetres. ✓