Measures of Location and Spread

Cards (22)

  • Measure of central tendency
    Describes the centre of the data
  • Measures of central tendency

    • Mode or modal class
    • Median
    • Mean
  • Mode or modal class

    The value or class which occurs most often
  • Median
    The middle value when the data values are put in order
  • Mean

    Calculated using Σx/n
  • Calculating mean from cumulative frequency table

    Σxf/Σf
  • Mean uses all values in the data therefore it gives a true measure of data, but it is affected by extreme values
  • Calculating mean, median and modal class for continuous data in grouped frequency table

    Find the midpoint of each class interval
  • Median (Q2)

    Splits the data into two equal halves (50%)
  • Lower quartile (Q1)

    One quarter of the way through the dataset
  • Upper quartile (Q3)

    Three quarters of the way through the dataset
  • Percentiles
    Split the data set into 100 parts
  • Finding lower and upper quartiles for discrete data

    Divide n by 4 (lower quartile) or find 3/4 of n (upper quartile)
    2. If this is a whole number, the lower or upper quartile is the midpoint between this data point and the number above. If it is not, round up and pick this number.
  • Calculating standard deviation from grouped frequency table
    Find Σfx^2, Σfx and Σf
    2. Use formula σ^2 = Σfx^2/Σf - (Σfx/Σf)^2
    3. Square root variance to find standard deviation
  • Coding
    Each value in the data can be coded to give a new set of values, which is easier to work with
  • Coding using formula y = (x-a)/b

    Mean of coded data: y_bar = (x_bar-a)/b
    Standard deviation of coded data: σ_y = σ_x/b
  • Estimating medians, quartiles and percentiles from grouped frequency table

    Assume data values are evenly distributed within each class
    Q1 = (n/4)th data value
    Q2 = (n/2)th data value
    Q3 = (3n/4)th data value
  • Measures of spread

    • Range
    • Interquartile range (IQR)
    • Interpercentile range
  • Variance (σ^2)

    Shows how spread out the data is
  • Calculating variance

    σ^2 = Σ(x-x_bar)^2/n
    2. σ^2 = Σx^2/n - (Σx/n)^2
    3. σ^2 = Σf(x-x_bar)^2/Σf = Σfx^2/Σf - (Σfx/Σf)^2
  • Standard deviation (σ)

    Square root of variance
  • Calculating standard deviation from grouped frequency table

    σ = √(Σf(x-x_bar)^2/Σf) = √(Σfx^2/Σf - (Σfx/Σf)^2)