FS3, HS3 - Tables and categorical charts

FS3, HS3 - Tables and categorical charts

Organise categorical data in tables, read and construct bar charts and pictograms, and connect pie-chart angles with proportions and totals. FS3 and HS3 require suitable representations as well as accurate calculations.

Frequency tables

Does the biggest-looking section of a chart always represent the most people? We will need both a sensible display and its total to decide.

Variables and frequency

A variable is a characteristic recorded for each person or object. Categorical data put observations into groups, such as travel method or favourite fruit. The frequency of a category is the number of observations in it.

Some categories have a natural order, such as small, medium and large. Others, such as fruit names, do not. A number can be a label: bus route 1212 is a category, not a measurement twice as large as route 66.

A frequency table lists each category once. Tally each observation into exactly one row, then check that the frequencies add to the number of observations. Tally marks grouped in fives help prevent counting errors.

Worked example 1: organising a raw list

Question. Twelve pupils each choose one fruit. Their choices, in order, are apple, pear, apple, banana, pear, apple, pear, banana, apple, pear, banana, apple. Make a frequency table.

Plan. Create one row per fruit and count each of the twelve choices once.

FruitFrequency
Apple55
Pear44
Banana33
Total1212

Answer. Apple 55, pear 44, banana 33.

Check. 5+4+3=125+4+3=12, matching the raw list. Apple occurs in positions 1,3,6,9,121,3,6,9,12.

Record two categorical variables together in a two-way table. Each inner cell belongs to both its row category and its column category. Totals are counts of people, not extra observations.

Worked example 2: a two-way table

Question. In Year 77, 66 pupils cycle, 44 walk and 55 use a bus. In Year 88, 33 cycle, 77 walk and 55 use a bus. Organise the data and find how many of all the pupils walk.

Plan. Use years as rows and travel methods as columns. Add down the walking column.

YearCycleWalkBusTotal
776644551515
883377551515
Total99111110103030

Answer. 1111 pupils walk.

Check. Row totals give 15+15=3015+15=30. Column totals independently give 9+11+10=309+11+10=30. Each pupil belongs to one year and one travel category.

Both table layouts count each pupil once; use the totals to check the organisation before drawing a chart.

Watch out

Adding the grand total to the inner cells counts everyone twice. The grand total checks the cells; it is not another group.

Complete a fresh two-way count.

Bar charts and pictograms

A categorical bar chart compares frequencies using bar lengths. Choose a uniform frequency scale starting at zero, label both axes, give a title and draw equal-width bars with gaps. The category axis contains labels, not numerical distances.

Worked example 3: constructing and reading bars

Question. A travel survey of 4040 pupils gives walk 1212, cycle 88, bus 1616, car 44. Describe a suitable bar chart and find how many more pupils use a bus than a car.

Plan. Choose a scale reaching the largest frequency and use each frequency as its bar height.

Label the horizontal axis “Travel method” and the vertical axis “Number of pupils”. Mark equally spaced vertical ticks 0,4,8,12,160,4,8,12,16. Draw separated equal-width bars at heights 12,8,16,412,8,16,4.

Answer. The chart below represents the data. There are 16−4=1216-4=12 more bus users than car users.

Check. The bars represent 12+8+16+4=4012+8+16+4=40 pupils. The bus bar is four times the car bar's height, matching 16=4×416=4\times4.

[DIAGRAM: asset_name: Travel survey bar chart; asset_slug: travel-bar-chart; caption: Equal scale steps represent four pupils; separate categories have separate bars.; description: A labelled categorical bar chart shows Walk twelve, Cycle eight, Bus sixteen and Car four, with a frequency axis from zero to sixteen in steps of four.]
Equal scale steps represent four pupils

Examine the scale before interpreting a visual difference.

Worked example 4: criticising a scale

Question. A bar chart has equally spaced vertical ticks labelled 0,5,10,200,5,10,20. Explain the fault and give two possible repairs.

Plan. Compare the numerical change between neighbouring ticks with their equal physical spacing.

The changes are 5,5,105,5,10. The last equal-sized gap represents twice as many observations, so the scale is not uniform.

Answer. Relabel the equally spaced ticks 0,5,10,150,5,10,15, extending the axis if needed, or use 0,10,20,300,10,20,30. Redraw the bars to match the repaired scale.

Check. Each repaired list has a constant difference. Changing labels without checking bar heights would not repair the data representation.

A pictogram represents amounts with identical symbols. Its key states the amount for one complete symbol. Fractions of a symbol represent the same fractions of that amount.

Worked example 5: drawing fractional symbols

Question. A pictogram uses one complete circle for 44 books. Library A lends 1010 books and Library B lends 66. How many symbols should each row contain?

Plan. Divide each count by the amount for one symbol.

10÷4=212,6÷4=112.10\div4=2\tfrac12,\qquad 6\div4=1\tfrac12.

Answer. Library A needs two full circles and a half-circle; Library B needs one full circle and a half-circle.

Check. The half-circle means 22 books. Thus 4+4+2=104+4+2=10, 4+2=64+2=6. One full-circle difference means 44 books.

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