Starter quiz

  • __________ is the mathematical term for a data point that is extremely large or small compared to the rest of the dataset.
    • An anomaly
    • An outlier  ✓
    • A trend
    • A variable
  • Which of these points are not outliers?
    Which of these points are not outliers?
    • A
    • B
    • C  ✓
    • D
    • E  ✓
  • Lucas says that he has a dataset with no outliers. Could Lucas be correct?
    • No, all datasets will have a lowest value.
    • No, there will always be a datapoint that is higher than the rest.
    • Yes, all data points will always cluster.
    • Yes, there may be no points that are far away from the main cluster of data.  ✓
    • Yes, not every dataset has errors in it.
  • The scatter graph shows information about population and number of cars in a set of towns. Each point represents a town. Match each outlier to the correct statement.
    The scatter graph shows information about population and number of cars in a set of towns. Each point represents a town. Match each outlier to the correct statement.
    • A
      town with a low population and many cars ✓
    • B
      town with a high population and many cars ✓
    • C
      town with a high population and few cars ✓
    • D
      town with a low population and few cars ✓
  • Izzy says you should always ignore an outlier. Is Izzy correct?
    • Yes, if a data point is extremely small then it must be an error.
    • No, an outlier is just an unusual result in the data.
    • It depends, you should investigate each outlier carefully.  ✓
  • Andeep says you should not show the outlier on a scatter graph. Is Andeep correct?
    • Yes, outliers are always too far from the rest of the data to show.
    • Yes, you may need to zoom in on the graph to use interpolation.  ✓
    • No, otherwise the scatter graph is wrong.
    • No, the outlier may help highlight useful information.  ✓
    • Yes, removing it can make the trend of the data easier to see.  ✓
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