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Data collection

Data collection

The success of a statistical investigation is largely dependent on the quality of the data collected.

The type of data collected and how the associated sampling takes place depend on the statistical question asked.

There are a number of aspects of data collection that need to be considered when carrying out a statistical investigation.

  • Choose the questions (e.g. "Do you like …?", "How tall is …?") that will determine the type of data collected (e.g. categorical, numerical).
  • Choose a sample size that will allow confidence in the conclusion.
    Use repeated sampling to demonstrate how much variation occurs in samples of different sizes.
  • Avoid bias in data collection.
    Explore sources of bias in various contexts where data are collected.
  • Understand the importance of random selection.
    Explore various methods of random sampling.
  • Know the relationship between samples and populations.
    Learn to define populations and samples in various statistical contexts.

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Name Class Section
Document Types of data Folder 17
Document Sample size and variation Folder 17
Document Bias in data Folder 17
Document Samples and populations Folder 17
Document Year 4: Select and trial methods for data collection, including survey questions and recording sheets Infobox 3
Document Year 5: Pose questions and collect categorical or numerical data by observation or survey Infobox 3
Document Source Infobox 3