Subjects

Subjects

More

Fun Edexcel Maths PDF: A Kid’s Cheat Sheet for Large Data Sets

View

Fun Edexcel Maths PDF: A Kid’s Cheat Sheet for Large Data Sets
user profile picture

Nikolay

@nikolay

·

140 Followers

Follow

The Large Data Set Edexcel provides comprehensive weather data analysis across multiple locations, focusing on key meteorological measurements from 1987 to 2015.

Key aspects include:

  • Temperature, rainfall, and wind measurements from UK and international locations
  • Data covering May to October with specific focus on coastal and inland locations
  • Detailed analysis of weather patterns across Edexcel A Level Maths large data set
  • Statistical comparisons between different geographical locations
  • Comprehensive measurements including temperature, rainfall, sunshine, humidity, and wind data

03/07/2022

1197

Large Data Set
Months included
with 30 days:
JUNE
SEPTEMBER
Data recorded
Daily Mean
Temperature
Daily Total
Rainfall
Daily Total
Sunshine
D

View

Temperature and Rainfall Analysis

This page of the Edexcel A Level Maths large data set Cheat Sheet focuses on analyzing temperature and rainfall patterns across different locations.

Temperature Analysis:

  • The hottest months in the UK are typically July and August.
  • Heathrow tends to be the warmest UK location with a mean temperature of 15.6°C.
  • Jacksonville, USA, is the warmest location overall with a mean temperature of 24.8°C.
  • The UK experiences a temperature range of about 15.2°C across all locations.

Highlight: There is a noticeable difference in average temperatures between 1987 and 2015, with 2015 generally being warmer.

Rainfall Analysis:

  • October tends to be the wettest month for UK cities.
  • Camborne is typically the wettest UK location.
  • Heathrow is the driest location both in the UK and worldwide among the studied cities.

Example: The mean rainfall in Camborne for October is 5.9mm, compared to 2.8mm in Heathrow.

Comparing 1987 and 2015:

  • 2015 showed higher temperatures across all UK locations.
  • Rainfall patterns varied, with some locations experiencing more rainfall in 2015 and others less.

Quote: "UK locations have a similar pattern; VARIED, peaking at similar times (July-September)."

The data also reveals that Beijing, Jacksonville, and Perth have different rainfall patterns compared to UK locations, with rainfall often coming in short bursts.

Large Data Set
Months included
with 30 days:
JUNE
SEPTEMBER
Data recorded
Daily Mean
Temperature
Daily Total
Rainfall
Daily Total
Sunshine
D

View

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.

Large Data Set
Months included
with 30 days:
JUNE
SEPTEMBER
Data recorded
Daily Mean
Temperature
Daily Total
Rainfall
Daily Total
Sunshine
D

View

Page 3: Detailed Weather Pattern Analysis

The page presents comprehensive analysis of rainfall patterns and wind speeds, crucial for understanding the Edexcel large data set uk weather statistics.

Definition: Rainfall measurements include trace amounts (tr) which are less than 0.05mm during the day.

Example: The Great Storm of October 1987 is highlighted as a significant weather event in UK history.

Highlight: Perth shows the lowest average rainfall while Beijing records the highest, demonstrating significant geographical variations.

Large Data Set
Months included
with 30 days:
JUNE
SEPTEMBER
Data recorded
Daily Mean
Temperature
Daily Total
Rainfall
Daily Total
Sunshine
D

View

Large Data Set Overview

The Edexcel large data set summary provides a comprehensive look at various weather measurements across different locations. This page outlines the key components of the data set, including the types of data collected, units of measurement, and locations covered.

Vocabulary: Large Data Set - A comprehensive collection of weather data used in Edexcel A Level Mathematics.

The data set includes the following measurements:

  • Daily Mean Temperature (°C to 1 decimal place)
  • Daily Total Rainfall (mm to 1 decimal place)
  • Daily Total Sunshine (hours to 1 decimal place)
  • Daily Maximum Relative Humidity (percentage)
  • Wind (speed and direction)
  • Visibility
  • Pressure (hPa)
  • Daily mean total cloud (oktas)

Highlight: The data covers both UK and international locations, providing a diverse range of weather patterns for analysis.

Key locations included in the large data set Edexcel are:

  1. Camborne (UK)
  2. Beijing (China)
  3. Heathrow (UK)
  4. Hurn (UK)
  5. Jacksonville (USA)
  6. Leeming (UK)
  7. Leuchars (UK)
  8. Perth (Australia)

Example: The maximum rainfall recorded in the UK was 51.6mm at Heathrow in October 2015, while Perth recorded a maximum of 102mm.

The data set covers the months of May to October, with a focus on the years 2015 and 1987. This allows for comparison of weather patterns across different seasons and between two distinct time periods.

Definition: Beaufort Conversion - A scale used to measure wind speed qualitatively, providing a non-numeric representation of wind conditions.

Can't find what you're looking for? Explore other subjects.

Knowunity is the #1 education app in five European countries

Knowunity has been named a featured story on Apple and has regularly topped the app store charts in the education category in Germany, Italy, Poland, Switzerland, and the United Kingdom. Join Knowunity today and help millions of students around the world.

Ranked #1 Education App

Download in

Google Play

Download in

App Store

Knowunity is the #1 education app in five European countries

4.9+

Average app rating

15 M

Pupils love Knowunity

#1

In education app charts in 12 countries

950 K+

Students have uploaded notes

Still not convinced? See what other students are saying...

iOS User

I love this app so much, I also use it daily. I recommend Knowunity to everyone!!! I went from a D to an A with it :D

Philip, iOS User

The app is very simple and well designed. So far I have always found everything I was looking for :D

Lena, iOS user

I love this app ❤️ I actually use it every time I study.

Fun Edexcel Maths PDF: A Kid’s Cheat Sheet for Large Data Sets

user profile picture

Nikolay

@nikolay

·

140 Followers

Follow

The Large Data Set Edexcel provides comprehensive weather data analysis across multiple locations, focusing on key meteorological measurements from 1987 to 2015.

Key aspects include:

  • Temperature, rainfall, and wind measurements from UK and international locations
  • Data covering May to October with specific focus on coastal and inland locations
  • Detailed analysis of weather patterns across Edexcel A Level Maths large data set
  • Statistical comparisons between different geographical locations
  • Comprehensive measurements including temperature, rainfall, sunshine, humidity, and wind data

03/07/2022

1197

 

12

 

Maths

42

Large Data Set
Months included
with 30 days:
JUNE
SEPTEMBER
Data recorded
Daily Mean
Temperature
Daily Total
Rainfall
Daily Total
Sunshine
D

Sign up to see the content. It's free!

Access to all documents

Improve your grades

Join milions of students

By signing up you accept Terms of Service and Privacy Policy

Temperature and Rainfall Analysis

This page of the Edexcel A Level Maths large data set Cheat Sheet focuses on analyzing temperature and rainfall patterns across different locations.

Temperature Analysis:

  • The hottest months in the UK are typically July and August.
  • Heathrow tends to be the warmest UK location with a mean temperature of 15.6°C.
  • Jacksonville, USA, is the warmest location overall with a mean temperature of 24.8°C.
  • The UK experiences a temperature range of about 15.2°C across all locations.

Highlight: There is a noticeable difference in average temperatures between 1987 and 2015, with 2015 generally being warmer.

Rainfall Analysis:

  • October tends to be the wettest month for UK cities.
  • Camborne is typically the wettest UK location.
  • Heathrow is the driest location both in the UK and worldwide among the studied cities.

Example: The mean rainfall in Camborne for October is 5.9mm, compared to 2.8mm in Heathrow.

Comparing 1987 and 2015:

  • 2015 showed higher temperatures across all UK locations.
  • Rainfall patterns varied, with some locations experiencing more rainfall in 2015 and others less.

Quote: "UK locations have a similar pattern; VARIED, peaking at similar times (July-September)."

The data also reveals that Beijing, Jacksonville, and Perth have different rainfall patterns compared to UK locations, with rainfall often coming in short bursts.

Large Data Set
Months included
with 30 days:
JUNE
SEPTEMBER
Data recorded
Daily Mean
Temperature
Daily Total
Rainfall
Daily Total
Sunshine
D

Sign up to see the content. It's free!

Access to all documents

Improve your grades

Join milions of students

By signing up you accept Terms of Service and Privacy Policy

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.

Large Data Set
Months included
with 30 days:
JUNE
SEPTEMBER
Data recorded
Daily Mean
Temperature
Daily Total
Rainfall
Daily Total
Sunshine
D

Sign up to see the content. It's free!

Access to all documents

Improve your grades

Join milions of students

By signing up you accept Terms of Service and Privacy Policy

Page 3: Detailed Weather Pattern Analysis

The page presents comprehensive analysis of rainfall patterns and wind speeds, crucial for understanding the Edexcel large data set uk weather statistics.

Definition: Rainfall measurements include trace amounts (tr) which are less than 0.05mm during the day.

Example: The Great Storm of October 1987 is highlighted as a significant weather event in UK history.

Highlight: Perth shows the lowest average rainfall while Beijing records the highest, demonstrating significant geographical variations.

Large Data Set
Months included
with 30 days:
JUNE
SEPTEMBER
Data recorded
Daily Mean
Temperature
Daily Total
Rainfall
Daily Total
Sunshine
D

Sign up to see the content. It's free!

Access to all documents

Improve your grades

Join milions of students

By signing up you accept Terms of Service and Privacy Policy

Large Data Set Overview

The Edexcel large data set summary provides a comprehensive look at various weather measurements across different locations. This page outlines the key components of the data set, including the types of data collected, units of measurement, and locations covered.

Vocabulary: Large Data Set - A comprehensive collection of weather data used in Edexcel A Level Mathematics.

The data set includes the following measurements:

  • Daily Mean Temperature (°C to 1 decimal place)
  • Daily Total Rainfall (mm to 1 decimal place)
  • Daily Total Sunshine (hours to 1 decimal place)
  • Daily Maximum Relative Humidity (percentage)
  • Wind (speed and direction)
  • Visibility
  • Pressure (hPa)
  • Daily mean total cloud (oktas)

Highlight: The data covers both UK and international locations, providing a diverse range of weather patterns for analysis.

Key locations included in the large data set Edexcel are:

  1. Camborne (UK)
  2. Beijing (China)
  3. Heathrow (UK)
  4. Hurn (UK)
  5. Jacksonville (USA)
  6. Leeming (UK)
  7. Leuchars (UK)
  8. Perth (Australia)

Example: The maximum rainfall recorded in the UK was 51.6mm at Heathrow in October 2015, while Perth recorded a maximum of 102mm.

The data set covers the months of May to October, with a focus on the years 2015 and 1987. This allows for comparison of weather patterns across different seasons and between two distinct time periods.

Definition: Beaufort Conversion - A scale used to measure wind speed qualitatively, providing a non-numeric representation of wind conditions.

Can't find what you're looking for? Explore other subjects.

Knowunity is the #1 education app in five European countries

Knowunity has been named a featured story on Apple and has regularly topped the app store charts in the education category in Germany, Italy, Poland, Switzerland, and the United Kingdom. Join Knowunity today and help millions of students around the world.

Ranked #1 Education App

Download in

Google Play

Download in

App Store

Knowunity is the #1 education app in five European countries

4.9+

Average app rating

15 M

Pupils love Knowunity

#1

In education app charts in 12 countries

950 K+

Students have uploaded notes

Still not convinced? See what other students are saying...

iOS User

I love this app so much, I also use it daily. I recommend Knowunity to everyone!!! I went from a D to an A with it :D

Philip, iOS User

The app is very simple and well designed. So far I have always found everything I was looking for :D

Lena, iOS user

I love this app ❤️ I actually use it every time I study.