Reliability

For data to be considered reliable, any variation in values must be small.

Repeating a scientific investigation makes it more reliable.

When analysing a set of results or graph, an anomalous result can be identified as one that does not follow the trend.

Once identified, anomalous results can be removed and repeated.

Anomalous results can occur due to:

  • Human error
  • An inadequately controlled variable
  • The use of inappropriate measuring equipment.

It is important to address anomalous results as they can make a conclusion unreliable.