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Tabulation

The content for this section is sub-divided into the following areas:

Tabulation Diagrammatic representation

 

 

 

 

 

 

Tabulation                                                                Top

Foundation tier Higher tier Notes Resources
Construction of frequency tables by tallying raw data.

 

  Both qualitative and quantitative (discrete or continuous) data will be used, in grouped or ungrouped form as appropriate.  
Class intervals. Open-ended classes.    
Simplifying tables by combining categories and reducing the number of significant figures; resulting effects on readability: identifying or masking of patterns/trends; loss of detail. Problems of under and over simplification resulting from unsuitable choice of group size or number of significant figures.    
Reading and interpreting data presented in tabular or graphical form.   Tables of data drawn from the media and from Government and other statistical sources may be used.  
Design of tables to summarise data effectively.

Design and use of appropriate two-way tables.

  To include the listing of all outcomes for single events, and for two successive events in a systematic way.  

Diagrammatic representation                                            Top

Foundation tier Higher tier Notes Resources
Qualitative data: bar and pie charts, pictograms.

Multiple and composite bar charts.

Comparative pie charts (area proportional to total frequency). Detailed drawing of pictograms will not be expected.
Discrete data; vertical line graphs. Cumulative frequency step polygons.
Continuous data; grouped frequency diagrams with equal class intervals.

Frequency polygons.

Cumulative frequency polygons. Population pyramids.

Histograms with equal or unequal class intervals. Candidates should know the term frequency density.

Comparisons of changes over time and the possible practical consequences are required at the Higher tier only.

 

Stem and leaf diagrams.
Shading maps (choropleth maps).

 

Shading (or choropleth) maps are widely used in Geography as indication of development (levels of income, diet, etc).
Transforming data presentation from one form to another.
The shapes and simple properties of frequency distributions; symmetrical, positive and negative skew.

 

The shape and simple properties of the normal frequency distribution. The normal frequency distribution is symmetrical, has approximately 95% of values within two standard deviations of the mean; almost all values are within 3 standard deviations of the mean.
Bivariate data: scatter diagrams.
Time series: line graphs.
Other diagrammatic representations for comparisons of data using length. Use of area and volume.

Comparison of the various diagrammatic representations using area or volume, including their advantages and disadvantages.

Visual misrepresentation: misuse or omission of origin or scale.

Broken, incorrect or changed scales.

Incomplete definitions and labelling.

Misuse of length, area and volume in pictorial comparison.
Interpretation of information presented in diagrammatic form; distinction between well and poorly presented data.

Spotting possible errors in a data set by recognising outliers that do not fit a general pattern.

Diagrams drawn from the media and from Government and other statistical sources may be used.

Where these are not of the types named in the specification, the interpretation required will be at an appropriate level for Foundation or Higher tier.