1.15 - Spearmans Rank Flashcards
What statistical method helps rank data based on correlation?
Spearman’s Rank.
Why is statistical analysis useful in geography?
It helps identify patterns, trends, and relationships in data.
What is a potential issue with using statistical analysis?
Misleading correlations and spurious relationships.
What does ‘spurious context’ refer to?
When data relationships appear meaningful but lack true causation.
Why is Spearman’s Rank used in geographical analysis?
To assess the strength and direction of relationships between variables.
What type of data is best represented by a cartogram?
Comparative data across regions or countries.
What key factors should be considered in data conclusions?
Reliability, validity, and context.
Why should geographers avoid relying on one data source?
To reduce bias and ensure comprehensive analysis.
How can statistical analysis inform decision-making?
By providing insights based on data trends and patterns.
What are some common pitfalls in geographical data analysis?
Overgeneralization and ignoring outliers.
What is the importance of data triangulation?
To cross-check information from multiple sources for accuracy.
What are the limitations of using cartograms?
They may distort spatial relationships and proportions.
Why is correlation not always causation?
Because variables may be related without a direct cause-effect link.
How does statistical significance influence conclusions?
It determines whether results are due to chance or real effects.
What factors should be considered when analyzing statistical outputs?
Outliers, data collection methods, and sampling bias.
