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Define qualitative data.
Qualitative data tends to be opinion-based and is not expressed in numerical quantities.

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Define quantitative data.
Quantitative data can be measured in numerical terms.
Give three examples of qualitative data.
Examples of qualitative data include opinion surveys, descriptions, and interviews.
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Define qualitative data.
Qualitative data tends to be opinion-based and is not expressed in numerical quantities.
Define quantitative data.
Quantitative data can be measured in numerical terms.
Give three examples of qualitative data.
Examples of qualitative data include opinion surveys, descriptions, and interviews.
Give three examples of quantitative data.
Examples of quantitative data include population, temperature, and average income.
In what forms is spatial data gathered?
Spatial data is gathered through field observations, journalism, travel narratives, personal interviews, landscape analysis, and photographs.
True or False?
Population, temperature, and average income are examples of qualitative data.
False.
Population, temperature, and average income are examples of quantitative data, because they can be measured in numerical terms.
Who uses spatial and geographical data to solve problems?
Decision-makers at all levels use spatial and geographical data to solve problems, including individuals, businesses, and politicians.
What do census tracts provide data on?
Census tracts provide data on smaller areas in the United States.
How does identifying spatial patterns help governments and organizations?
Identifying spatial patterns allows governments, organizations, and individuals to make informed choices, such as deciding funding for schools, hospitals, and other services.
Collecting information about literacy levels at a scale can mask drastic differences between urban and rural levels of literacy.
Collecting information about literacy levels at a national scale can mask drastic differences between urban and rural levels of literacy.
Why can the scale of data collection be a limitation?
The scale at which data is collected can influence its usefulness, because using a national scale can mask drastic local differences and leave policymakers unsure where to spend resources.
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