All flashcards topics

The large data setAQA A-Level Maths: Flashcards

What these 13 flashcards ask

  • What is a record in a data set?
  • What is a variable in a data set?
  • Which diagram suits categorical data?
  • Which diagrams suit continuous data?
  • Why should a missing-value code such as -99 be removed before calculating?
  • What is the effect of replacing blanks by 0 when finding a mean?
  • State the standard deviation formula.
  • State the 1.5\times IQR outlier rule.
  • State the standard deviation outlier rule.
  • What does a mean much larger than the median suggest?
  • Which summaries are least affected by outliers?
  • What should you do with an outlier?
  • Why must the limitations of a sample be stated?

Exam questions on The large data set

  1. A large data set records, for each new car sold in a year, the fuel type (petrol, diesel or hybrid), the number of doors, the engine size in litres and the CO₂ emissions in g/km. Some records have the CO₂ emissions blank.
    Name a suitable diagram for displaying the fuel type of the cars, and explain why a histogram would not be suitable.2 marks
  2. A student takes a random sample of 11 petrol cars from a large data set and records the CO₂ emissions in g/km: 110, 114, 118, 121, 124, 126, 129, 131, 134, 138, 205. Quartiles are the medians of the lower and upper halves of the ordered data, leaving out the median. A value is an outlier if it is more than 1.5×1.5\times IQR above the upper quartile or below the lower quartile.
    Show that 205 g/km is an outlier.2 marks
  3. A student uses a large data set of daily weather records from one station. Missing readings are shown by the value −99-99. A random sample of 40 valid days gives ∑x=612\sum x=612 and ∑x2=9774\sum x^2=9774 for the daily mean temperature xx in °C. A value is an outlier if it lies more than 2 standard deviations from the mean.
    Explain what would go wrong if the readings of −99-99 were included when calculating the mean and standard deviation, and what the student should do.3 marks
See the full worksheet

Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).