Elements and Performance Criteria
- Perform scientific calculations
- Ensure raw data are consistent with expectations and reasonable ranges
- Calculate scientific quantities involving algebraic, power, exponential and/or logarithmic functions
- Ensure calculated quantities are consistent with estimations
- Present results using the appropriate units, uncertainties and number of significant figures
- Determine variation and/or uncertainty in data distributions
- Organise raw data into appropriate frequency distributions
- Calculate means, medians, modes, ranges and standard deviations for ungrouped and grouped data
- Interpret frequency distributions to determine the characteristics of the sample or population
- Calculate standard deviations and confidence limits for means and replicates
- Estimate the sampling error and/or uncertainty in data using statistical analysis
- Determine data acceptability using statistical tests and enterprise procedures
- Interpret data and related statistics
- Recognise significant trends in data
- Use standard statistical methods to test for an association or correlation between variables
- Use standard statistical methods to test hypotheses involving the same variable between samples, samples with more than one variable and for paired samples
- Verify data interpretation with supervisor, as necessary
- Check for aberrant data sets
- Report data and analysis
- Use charts, tables and graphs to present summarised data and analysis results in the required format
- Verify that entry of data and results are correct
- Clearly identify summary information and any significant trends and/or problems with data
- Prepare reports in a format and style consistent with their intended use and enterprise guidelines
- Communicate results within the specified time and in accordance with enterprise confidentiality and security guidelines.