Wind Speed and Weather Patterns

This final page of the Large data set Edexcel PDF focuses on wind speed analysis and overall weather patterns across the studied locations.

Wind Speed Analysis:

• Coastal cities tend to be windier than inland locations.
• The windiest months in the UK are typically during the autumn and winter seasons.
• There are notable differences in wind speeds between 1987 and 2015, with 2015 generally showing higher wind speeds.

Example: In 2015, Heathrow had an average wind speed of 8.1 knots, compared to 6.0 knots in 1987.

Weather Pattern Observations:

• Jacksonville is hotter than Beijing on average, despite Beijing having the hottest recorded days.
• UK locations generally follow similar rainfall patterns, while Beijing, Jacksonville, and Perth show more varied patterns with short bursts of rainfall.

Highlight: The data reveals significant variations in weather patterns between UK and international locations, providing rich material for statistical analysis.

Important Considerations for Data Analysis:

• Wind speed (using the Beaufort scale) and date should not be measured using a normal distribution as they are non-numeric or uniformly distributed.
• Rainfall data is not bell-shaped and thus not suitable for normal distribution analysis.
• Daily mean pressure is skewed and daily mean wind speed is not symmetric, making them unsuitable for normal distribution analysis.

Vocabulary: Normal Distribution - A probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean.

This Edexcel large data set uk weather statistics summary provides students with a comprehensive overview of the key weather patterns and data analysis considerations, essential for exam preparation and understanding the complexities of large-scale meteorological data.