CCEA A-Level Geography 3910
Processes That Shape Fluvial Environments
Human Interaction in Fluvial Environments
Global Biomes
Small-Scale Ecosystems
The Processes That Shape Our Weather and Climate
Weather in the British Isles
Global Weather Issues
Population Data
Population Change
Population and Resources
Settlement Change and the Rural-Urban Fringe
Planning in Rural Environments
Urban Challenges in MEDC and LEDC Cities
Measuring Development
Reducing the Development Gap
Emerging Markets
Data Collection
Data Processing
Fieldwork Skills and Techniques
Planning and Recording an Investigation
Plate Tectonics: Theory, Margins and LandformsTectonics
Volcanic Activity and Its ManagementTectonics
Seismic Activity and Its ManagementTectonics
Locations and Climates of the Major Tropical BiomesTropical
Management and Sustainability in Arid and Semi-Arid Tropical EcosystemsTropical
Management and Sustainability in the Tropical Forest EnvironmentTropical
Coastal Processes and FeaturesCoastal
Regional Coastlines: Submergence, Emergence and Rising Sea LevelCoastal
Coastal Management and SustainabilityCoastal
Natural Climate Change: Evidence, Causes and the Arrival of the HoloceneClimate
Lowland Glacial LandscapesClimate
Current Global Climate Change: Human Causes and ImpactsClimate
Managing Global Climate ChangeClimate
Cultural Groups, Social Inequality and LandscapeCultural
MigrationCultural
The Geographies of CyberspaceCultural
Sustainable Development in SettlementsPlanning
Urban Design, Planning and Management for SustainabilityPlanning
Traffic and TransportPlanning
Defining EthnicityEthnic
Processes That Create and Maintain Ethnic DiversityEthnic
Ethnic ConflictEthnic
The Changing Nature of TourismTourism
Challenges and Management of Mass TourismTourism
Ecotourism: Opportunities, Challenges and RegulationTourism
Decision Making in Geography
Data Processing
Mean, median, mode and range
- 3 things to know
- Unit AS 3
Overview
How each average is found and what the range adds, when the mean misleads, and when the median or the mode is the only one worth using.
What you need to know
Answer each one before you reveal it.
When is the mean misleading?
When is the mode the only average you can use?
Questions from this subtopic
Each one with the model answer underneath.
- 1
What is the mean, and how is it found?
Model answer
The mean is the arithmetic average: all the values in a set are added together and the total is divided by the number of values. It uses every value in the data set, which makes it the most complete summary of a set of measurements, and it is the average that most statistical work is built on.
- 2
What is the median, and how do you find it when there is an even number of values?
Model answer
The median is the middle value once the data are arranged in order of size, so that half the values lie above it and half below. With an odd number of values it is simply the middle one. With an even number there is no single middle value, so the two central values are added together and divided by two, and that figure is the median.
- 3
What is the mode, and what makes it different from the other averages?
Model answer
The mode is the value or category that occurs most frequently in a data set. It differs from the mean and median in that it is not calculated from the size of the values at all - it is simply a count of frequency - which means it is the only average that can be used with categories that have no numerical value, such as the commonest land use, the commonest rock type or the most frequent answer on a questionnaire. A data set can have two modes, or none at all if every value is different.
- 4
What is the range, and what does it tell you?
Model answer
The range is the difference between the highest and the lowest value in a set, found by subtracting the smallest from the largest. It is a measure of dispersion rather than of average: it tells you how spread out the data are, and therefore how much variation the average is hiding.
- 5
When is the mean misleading?
Model answer
Whenever the distribution is skewed or contains extreme values, because the mean uses every value and so is dragged towards the outliers. One flood peak in a set of discharge readings, or one multi-million pound property among ordinary houses, pulls the mean upwards so far that it no longer describes a typical case, and it can end up being a value that no individual case comes close to. It is also misleading with a bimodal distribution, where two clusters produce a mean sitting in the empty ground between them, and with categorical data, where an average is meaningless.
- 6
When is the median the better average, and why?
Model answer
When the data are skewed or contain a few extreme values, because the median depends only on the position of values in the ordered list and not on their size, so a single very large or very small figure moves it hardly at all. That is why incomes, house prices and river discharges are usually summarised by the median: it describes the typical case rather than being distorted by the extremes. It is also the better choice for ordinal data, such as scores on a bipolar environmental quality scale, where the intervals between the ranks are not truly equal.
Other ways to work this
The same content, four other ways.
What is inside Levo
Six ways to work the same material.
Every question in Data Processing, on a schedule.
Attempt a question from memory, write the correct version, then attempt it again. Levo records the jump between your first attempt and your last, and brings each question back on the day you are due to forget it.
Or £46 a year, about £3.83 a month. Cancel anytime.