{4, 8, 3, 6, 5}: Median = 5, no mode, Range = 5 ▶ View Solution
{12, 7, 12, 9, 8, 12, 5}: Median = 9, Mode = 12, Range = 7 ▶ View Solution
{3, 3, 5, 7, 9, 11, 11}: Median = 7, Mode = 3 and 11 (bimodal), Range = 8 ▶ View Solution
{2, 4, 6, 8, 10}: Median = 6, no mode, Range = 8 ▶ View Solution
{15, 8, 22, 8, 17, 8}: Median = 11.5, Mode = 8, Range = 14 ▶ View Solution
{1, 2, 3, 4, 5, 6, 7, 8, 9}: Median = 5, no mode, Range = 8 ▶ View Solution
{30, 25, 30, 40, 35, 25}: Median = 30, Mode = 25 and 30 (bimodal), Range = 15 ▶ View Solution
{7, 9, 11, 13, 15, 17}: Median = 12, no mode, Range = 10 ▶ View Solution
Which Measure to Use?
Shoe shop — mode: Mode — most popular size to stock; mean/median may not correspond to any real shoe size ▶ View Solution
Company salary — median: Median — $280 000 outlier distorts mean ($86 167 vs median $49 000); median better represents typical employee ▶ View Solution
Mean ≈6.1, median = 6: Yes — differ by only 0.1; data is roughly symmetric with no major outliers ▶ View Solution
When mean and median differ greatly: When data contains outliers — extreme values pull mean but leave median near the centre ▶ View Solution
Outliers and Their Effect
Outlier in {8, 9, 10, 10, 11, 12, 45}: 45; mean with outlier = 15, without = 10 ▶ View Solution
Median with/without outlier: Median unchanged at 10 both times — outlier does not shift the middle position ▶ View Solution
Why median is “resistant”: Depends on position not size; one extreme value can’t shift the middle position no matter how large ▶ View Solution
Test results {55, 60, 62, 65, 68, 70, 72, 98}: Mean ≈69, Median = 66.5; median more representative — 98 pulls the mean above most students’ scores ▶ View Solution
Median & Range in Context
Street prices: Street A: Median $480k, Range $110k | Street B: Median $480k, Range $410k — same median but B far more variable ▶ View Solution