Data Handling

Charts & averages

Organise data with tables and charts and calculate mean, median, and mode.

Data handling starts with organizing data clearly, choosing suitable charts, and summarizing a dataset with averages.

Frequency tables

A frequency table records each value (or class interval) and how often it appears. For grouped data, use class midpoints for estimation.

Common charts

  • Bar chart: categorical comparisons.
  • Histogram: continuous grouped data (touching bars).
  • Line graph: change over time.
  • Pie chart: part-to-whole proportions.
  • Box plot: spread via quartiles and median.

Mean, median, and mode

\[ \text{Mean}=\frac{\text{sum of values}}{\text{number of values}}. \]

Median is middle value when ordered. Mode is most frequent value.

Mean from frequency table

\[ \bar{x}=\frac{\sum fx}{\sum f}. \]

where \(x\) is value (or midpoint), \(f\) is frequency.

Choosing an average

  • Use mean when data has no extreme outliers.
  • Use median when distribution is skewed.
  • Use mode for most common category/value.

Exam strategy

  • Label axes and units clearly on charts.
  • Check scale intervals before reading values.
  • Order data before finding median and quartiles.
  • State if an answer is estimated from grouped data.

Checkpoints

Find mean of 4, 7, 7, 10, 12.

Answer: \(\frac{40}{5}=8\).

Find median of 5, 2, 9, 4, 11, 6.

Answer: Order: 2,4,5,6,9,11. Median \(=\frac{5+6}{2}=5.5\).

Find mode of 3, 5, 5, 5, 8, 8, 9.

Answer: 5.

For values 1,2,3 with frequencies 4,5,1, find mean.

Answer: \(\bar{x}=\frac{1(4)+2(5)+3(1)}{10}=\frac{17}{10}=1.7\).

Which average is best for house prices with extreme luxury homes?

Answer: Median (less affected by outliers).

Last modified: