3.1 Analysis of data
Students will be expected to develop and demonstrate confidence and competence in the understanding and application of statistical techniques, interpreting data and drawing conclusions in the solution of problems.
D1 Data
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Content |
Additional information |
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|---|---|---|
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D1.1 |
appreciating the difference between qualitative and quantitative data |
including the difference between discrete and continuous quantitative data |
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D1.2 |
appreciating the difference between primary and secondary data |
including the use of secondary data that have been processed eg grouped |
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D1.3 |
collecting quantitative and qualitative primary and secondary data |
D2 Collecting and sampling data
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Content |
Additional information |
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|---|---|---|
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D2.1 |
inferring properties of populations or distributions from a sample, whilst knowing the limitations of sampling |
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D2.2 |
appreciating the strengths and limitations of random, cluster, stratified and quota sampling methods and applying this understanding when designing sampling strategies |
appreciating that improving accuracy by removing bias and increasing sample size may cost/save both time and money |
D3 Representing data numerically
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Content |
Additional information |
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|---|---|---|
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D3.1 |
calculating/identifying mean, median, mode, quartiles, percentiles, range, interquartile range, standard deviation |
either from raw data or from cumulative frequency diagrams, stem-and-leaf diagrams or box plots |
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D3.2 |
interpreting these numerical measures and reaching conclusions based on these measures |
D4 Representing data diagrammatically
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Content |
Additional information |
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|---|---|---|
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D4.1 |
constructing and interpreting diagrams for grouped discrete data and continuous data, knowing their appropriate use and reaching conclusions based on these diagrams |
including histograms with equal and unequal class intervals and cumulative frequency graphs, box and whisker plots, stem-and-leaf diagrams (including back-to-back) |
