Accuracy & Precision


Navigate the knowledge tree: 🌿 Skills ➡ Designing an Investigation 
Go to the Lesson Outline: Validity

What is Accuracy and Precision

In investigations, "ACCURACY" refers to how close a measurement is to the true value and "PRECISION" indicates how consistent repeated measurements are with each other. We need to make sure that when we carry out our investigations, the measurements we take are as accurate and precise as possible. 

Accurate results allow for accurate conclusions to be made.

More on Accuracy and Precision

📕 article 📸 image 🎮 interactive 🎦 video

Glossary

Key terms and definitions.

Errors in Measurement Affect Accuracy and Precision

Errors in the way we measure directly impact both the accuracy and precision of a result. The more errors present in a measurement, the less accurate and precise the data will be. 

The Two Types of Errors

There are two types of error that can occur when you are making measurements. Being aware of these errors is the first step to eliminating them and ensuring the validity of your results.

Systematic errors are not easy to spot because they do not appear as a single difference in the data set. These errors can be avoided by making sure that the measurements are accurate and by repeating the experiment to show any errors.

More on Systematic and Random Errors

📕 article 📸 image 🎮 interactive 🎦 video

Glossary

Key terms and definitions.

How to Take Accurate Measurements

It is important that your measurements are accurate and reliable. This will ensure that your results are repeatable if another scientist takes the same measurements. Good technique and set-up of experimental equipment can be the difference between the 'right' and the wrong' answer. Use the measurement checklist on the left to help you make accurate measurements.

Measurement Checklist

When taking a measurement, you need to: 

It is difficult to say any measurement is exact. Mistakes or errors occur in all measurements. These errors can occur when you make a mistake reading a scale or writing down the measurement. They can occur because an instrument is not working properly or because you are not using it correctly. 

Choose the most accurate measuring equipment

Measuring equipment with more decimal places or divisions in the scale generally allow you to take more accurate readings.

Remember - you cannot get a better measurement than your measuring instrument allows you. All measuring instruments are accurate only within limits. Scales used on any instrument are marked off into finer and finer divisions. The finest division limits the accuracy of the instrument. 

Avoid Zero Error

To make accurate measurements you need to use the equipment correctly. This includes starting measurements from zero to avoid ZERO ERROR. 

Avoid Parallax Error

To make accurate measurements you need to use the equipment correctly. This includes lining up your line of sight so that it is perpendicular to the scale to avoid PARALLAX ERROR

For example, look straight ahead at the measuring cylinder or ruler to make sure your eye is level with the scale. Do not tilt your head or body. 

Replication of an experiment

In any experiment, it is important to obtain the most accurate results possible. The reliability of results can be increased through repeat trials and replication of the experiment.

Doing repeat trials means repeating the experiment at a different time to ensure that the results can be reproduced. Variation between the results for repeat trials may show measurement errors.

Replication means the creation of duplicate experimental set-ups, so that the experiment can be run more than once at the same time. Discrepancies in results for replicates can give information about the extent to which the variables were controlled.


Calculating Averages

Sometimes you may want to improve your accuracy by repeating measurements. For example, you measure the temperature of tap water three times and obtain the following results: 18.9°C, 18.6°C and 18.7°C. You only want one measurement, so you calculate the average. To do this you:Â