Tier 1: basic skills
Fluency
- . Sorted: .
- . Sorted: ; mean of and .
- . Mean of middle two and .
- (appears three times)
- and (bimodal)
- . Method: .
- . Method: .
- Mean ; median ; mode ; range .
Tier 2: mixed practice
Mixed practice
- Sorted: ; median .
- . Method: sum ; .
- (appears three times).
- . Method: .
- Range changes most (from to ). The mode is unaffected. The median shifts only slightly; the mean goes up by about .
- . Method: total required ; subtract .
- . Method: total ; sum of five given ; .
- . Method: original total ; correction gives ; new mean .
- Any data set with all values equal to , e.g. .
- Many possible. Example: . Mean , median .
Tier 3: explain and spot the mistake
Explain and spot the mistake
- The mode is the most frequently occurring value, not the largest one. The student has confused mode with maximum (the upper end of the range). Correct: the mode is whichever value appears most often; a data set can have no mode, one mode, or multiple modes.
- The mean uses every value, so a single extreme number can pull it noticeably up or down. The median depends only on position in the sorted list, so one outlier only shifts the middle by one rank at most - hence the median remains close to the bulk of the data when there are extreme values.
- Yes to both. Categorical data (e.g. eye colours) can have a mode (most common colour) but no mean - you cannot average “red”, “blue”, “green”. A data set with all distinct numerical values (e.g. ) has a mean () but no mode, since no value repeats.
- Not always. For an even-count numerical set, the median is the average of the two middle values, which may not itself be in the data. Example: median of is , which is not in the set.
Tier 4: real-world problems
Real-world problems
- Mean ; median . Method: sum ; mean ; sort and take the th value ().
- Mean age . Method: sum ; .
- Mean degC (exactly ); range degC. Method: ; .
- New mean . Method: previous total ; new total ; .
- Mean of middle is . Method: total of all is ; remove ; remaining total ; .