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AC9M7ST01

acquire data sets for discrete and continuous numerical variables and calculate the range, median, mean and mode; make and justify decisions about which measures of central tendency provide useful insights into the nature of the distribution of data

Elaborations

  • AC9M7ST01_E1understanding that summarising data by calculating measures of centre can help make sense of the data, commenting on skewness or symmetry of data and the use of mean and median as representative measures
  • AC9M7ST01_E2comparing the mean, median, mode and range of displays of data from a given context, and explaining how outliers may affect summary statistics
  • AC9M7ST01_E3recognising how different data sets can have the same measures of central tendency and experimenting with how varying data affects these measures
  • AC9M7ST01_E4acquire continuous numerical data by taking measurement samples during a science experiment, observation or field study, comparing measures of central tendency and identifying any anomalies in the distribution of data
  • AC9M7ST01_E5exploring how descriptive statistics are used by artificial intelligence developers to summarise and analyse data, assist the artificial intelligence in making informed decisions, and gain insights from the processed data; for example, descriptive statistics in recommendation systems can help analyse user behaviour and preferences

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AC9M7ST01 – acquire data sets for discrete and continuous numerical variables and calculate the range, median, mean and mode; make and justify decisions about which measures of central tendency provide useful insights into the nature of the distribution of data | LessonForge