AC9M5ST01
acquire, validate and represent data for nominal and ordinal categorical and discrete numerical variables, to address a question of interest or purpose using software including spreadsheets; discuss and report on data distributions in terms of highest frequency (mode) and shape, in the context of the data
Elaborations
- AC9M5ST01_E1recognising that ordinal data is a form of categorical data even though the data being collected might be numbers; for example, a rating scale using numbers 1 – 5 to represent the categories people can choose from when asked, “What rating would you give this film out of 5?”
- AC9M5ST01_E2determining the mode for a set of data and discussing that there may be more than one mode
- AC9M5ST01_E3identifying the best methods of presenting data to illustrate the results of investigations and justifying the choice of representations
- AC9M5ST01_E4acquiring data through chance experiments, discussing and reporting on the distribution of outcomes and how this relates to equal and unequal outcomes
- AC9M5ST01_E5using digital systems to validate data; for example, recognising the difference between numerical, text and date formats in spreadsheets; setting data types in a spreadsheet to make sure a date is input correctly
- AC9M5ST01_E6exploring how travel and online shopping websites and apps collect ordinal data from users to provide customer satisfaction and popularity ratings, and how they use recommendation algorithms to assist customers in travel planning or retail purchasing
- AC9M5ST01_E7investigating data relating to Australia’s reconciliation process with First Nations Australians, posing questions, discussing and reporting on findings
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