The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!
From the Wiki University
What evidence can you provide to prove your understanding of each of the following citeria?
Perform scientific calculations
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Ensure raw data are consistent with expectations and reasonable ranges Completed |
Evidence:
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Calculate scientific quantities involving algebraic, power, exponential and/or logarithmic functions Completed |
Evidence:
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Ensure calculated quantities are consistent with estimations Completed |
Evidence:
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Present results using the appropriate units, uncertainties and number of significant figures Completed |
Evidence:
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Determine variation and/or uncertainty in data distributions
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Organise raw data into appropriate frequency distributions Completed |
Evidence:
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Calculate means, medians, modes, ranges and standard deviations for ungrouped and grouped data Completed |
Evidence:
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Interpret frequency distributions to determine the characteristics of the sample or population Completed |
Evidence:
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Calculate standard deviations and confidence limits for means and replicates Completed |
Evidence:
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Estimate the sampling error and/or uncertainty in data using statistical analysis Completed |
Evidence:
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Determine data acceptability using statistical tests and enterprise procedures Completed |
Evidence:
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Interpret data and related statistics
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Recognise significant trends in data Completed |
Evidence:
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Use standard statistical methods to test for an association or correlation between variables Completed |
Evidence:
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Use standard statistical methods to test hypotheses involving the same variable between samples, samples with more than one variable and for paired samples Completed |
Evidence:
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Verify data interpretation with supervisor, as necessary Completed |
Evidence:
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Check for aberrant data sets
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Identify data that cannot be reconciled with sample, data set and/or documentation, monitoring procedures and/or expected outcomes Completed |
Evidence:
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Determine appropriate actions in consultation with supervisor, as necessary Completed |
Evidence:
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Report data and analysis
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Use charts, tables and graphs to present summarised data and analysis results in the required format Completed |
Evidence:
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Verify that entry of data and results are correct Completed |
Evidence:
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Clearly identify summary information and any significant trends and/or problems with data Completed |
Evidence:
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Prepare reports in a format and style consistent with their intended use and enterprise guidelines Completed |
Evidence:
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Communicate results within the specified time and in accordance with enterprise confidentiality and security guidelines. Completed |
Evidence:
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