Processing Data

Processing Data

Processing and Interpreting Data

  • Understand the need to classify data as either continuous or discontinuous.
  • Know how to interpret data by looking for patterns, relationships and anomalies.
  • Evaluate and interpret graphical data, looking for patterns and trends.
  • Be able to calculate mean, median, mode and range, and understand the importance of these calculations for understanding your data.
  • Understand how to calculate a standard deviation and what this tells you about your data.
  • Interpret data in the form of graphs and discuss significance of results.

Presenting Data and Drawing Conclusions

  • Learn to summarise, present and explain data effectively.
  • Understand the difference between correlation and causation, and avoid making inappropriate conclusions.
  • Know how to draw a conclusion from the data analysis.
  • Be able to identify and discuss the scope of the conclusion, considering limitations and uncertainties in the data collected.
  • Understand the importance of evaluating and communicating the impact of results on the hypothesis.

Reviewing and Evaluating the Investigation

  • Be able to review the method used in the investigation, considering its effectiveness.
  • Understand how to evaluate an investigation critically, considering all strengths and weaknesses.
  • Know how to suggest improvements or further investigations considering uncertainties in the current investigation’s data.
  • Understand how societal and scientific impacts or applications of the findings can extend beyond the investigation itself.