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.