Working as a Physicist: Analysing Results

Raw data: Refers to the initial measurements or observations collected from an experiment. Physicists must be able to record and interpret raw data accurately.
Data processing: The conversion or manipulation of raw data to make it understandable and useful. This might involve calculations, graphs, and statistics.
Uncertainty: An estimation of how much a measured or calculated value may deviate from the true value. Physicists should understand how uncertainty can affect the interpretation of results.

Error analysis: Identifying errors that could have occurred in the measurement process. Errors could be random or systematic.
Graphical representation: Effective use of graphs and charts to illustrate patterns in the data. There are various types of graphs that can be used depending on the nature of the data.
Statistical analysis: Usage of statistical methods like averages, standard deviation, regression etc., to analyse and interpret the data and find trends or correlations.

Critical evaluation: Applying analytical skills to assess the validity of the data, taking into account the methodology, reliability and precision.
Hypothesis testing: Comparing the results of the data analysis with the initial hypothesis. Are the results consistent with the hypothesis, or is there need for refinement?
Theory comparison: Contrasting results with existing knowledge or theories in physics to determine alignment or discrepancies.

Report writing: Articulating the findings of the analysis in a clear, logical and concise manner.
Presentation skills: Effectively communicating results to various audiences, sometimes using visual aids such as diagrams, charts, or powerpoint presentations.
Scientific notation and conventions: Using standard symbols, units, and abbreviations to record and communicate results according to established physics practices.