CARA'S TIPS
Geography · Lesson 19

Practical geography 4: statistical maps, diagrams and summary statistics

JAMBWAECNECO

What the syllabus asks

JAMB: statistical data, maps and diagrams. Calculation-focused companion to gg9.

WAEC: statistical maps and diagrams (bar graphs, line graphs, pie charts, proportional symbols, dot maps, choropleth, isopleth, flow maps), their construction, advantages and disadvantages and interpretation

NECO: statistical maps and diagrams (bar graphs, line graphs, pie charts, proportional symbols, dot maps, choropleth, isopleth, flow maps), their construction, advantages and disadvantages and interpretation

What you will learn

Key points

Start here: Concept summary: statistics in the practical paper

Statistical maps and diagrams are part of the practical geography section of the syllabus. In WAEC Paper 3 they appear as one of the 15-mark optional questions (Question 1 being the compulsory map question), and JAMB asks objective items on choosing, drawing and interpreting them. A typical question gives a table of data and asks you to (a) draw a named diagram, (b) state its advantages and disadvantages, and (c) describe or explain what it shows. Every part has calculation marks, drawing marks and interpretation marks.

Choosing the right diagramBar graphcompare separate items or yearsLine graphcontinuous change over timePie / divided circleparts of a wholeProportional circlestotals at places (r ∝ √value)Dot mapdistribution; 1 dot = fixed valueChoroplethdensity by area (shading)Isoplethcontinuous values (rain, temperature)Flow mapmovement; line width ∝ volume

Unit gg9 introduced the types of diagram. This unit concentrates on the calculations and drawing techniques that the practical questions test: angles for pie charts, radii for proportional circles, dot values, densities and class intervals for choropleth maps, interpolation for isopleths, line widths for flow maps, and the summary statistics (mean, median, mode, range, percentage change) used to describe data. All data in this unit are illustrative (invented for practice, set in the fictional Oke-Ofa area); every calculation has been checked by computer.

Four rules for every diagram, worth marks in every scheme:

  1. A title stating what, where and when.
  2. A key (legend) for every colour, shading or symbol.
  3. Labelled axes with units, or a stated scale for symbols.
  4. Accurate plotting from your calculations, which you must show.

If a question says “show your working”, a table of calculations (for example, values → percentages → angles) earns marks even if the drawing has a small error.

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Practice questions

1. In a pie chart, a value that is 25% of the total gets an angle of
  1. 90°
  2. 25°
  3. 45°
  4. 100°
Show answer

A: 90°
0.25 × 360.

2. 450 out of 1,000 in a pie chart is
  1. 45°
  2. 150°
  3. 180°
  4. 162°
Show answer

D: 162°
0.45 × 360.

3. Proportional circles have radii proportional to the
  1. square of the values
  2. log of the values
  3. square root of the values
  4. values
Show answer

C: square root of the values
Area ∝ value.

4. If town B has four times town A’s population, its proportional circle radius is
  1. the same
  2. twice A’s
  3. four times A’s
  4. sixteen times A’s
Show answer

B: twice A’s
√4 = 2.

5. A choropleth map shows values by
  1. shading areas
  2. dots
  3. lines of equal value
  4. arrows
Show answer

A: shading areas
Density by area.

Key words

Pie chart
Circle divided into sectors proportional to parts of a total.
Proportional circle
Circle whose area represents a value; radius ∝ √value.
Compound bar
Bar divided into stacked components.
Climate graph
Rainfall bars with a temperature line for one station.
Dot map
Map using dots of fixed value to show distribution.
Choropleth
Map shading areas by ratio or density.
Isopleth
Line joining places of equal value.
Isohyet
Isopleth of equal rainfall.
Interpolation
Estimating values between known points.
Flow map
Map showing movement by bands of proportional width.
Primary data
Data collected first-hand by the researcher.
Median
The middle value of ordered data.
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