Collect, Collate and Analyse Data

Collect, Collate and Analyse Data

  • Primary Data: Remember, this is data that the you have collected firsthand during your investigation. Make sure this data is recorded accurately and clearly, in a table or log if suitable.

  • Secondary Data: This is data from other sources. You may need to gather and use this type of data to support or provide context to your own results. Always cite your sources.

  • Quality of Data: Always consider the reliability of your data. Where did it come from? How was it gathered? Does it support your hypothesis or not? Analyse its strengths and weaknesses.

  • Data Analysis Techniques: Data can be analysed in several ways. These include descriptive statistics (mean, median, mode) and inferential statistics (t-test, chi-squared test). Choose a technique that is appropriate for the type of data you have and the question you are answering.

  • Interpretation: After analysing your data, you must interpret what the results mean in relation to your experiment question or hypothesis. Draw conclusions based on the data.

  • Displaying Data: Remember, data can be displayed in several ways. Graphs, charts, and tables can all be effective. Choose a format that clearly presents your data and supports your analysis.

  • Errors and Anomalies: When analysing data, remember to look out for and discuss any errors or anomalies. Consider how they might affect your results and conclusions.