Statics Project
Introduction
This project aims to discover which houses are more expensive in jesmond and walker. Source of determination is carried out by a random survey and primary research.
Hypothesis.
It is an ascertained fact that houses in jemsond are more expensive than those in walker due to the fact that jesmond has a greater distance from the industrial area than that of walker.
Background
In the past few year, prices of houses in the United Kingdom has increased rapidly due to inflation. The government has tried to solve this problem by trying to reduce house prices and also build more houses in other to remove the homeless people from the streets. Newcastle upon tyne is a city that started as a rural area and transformed into an urban area. Because of the industrial reformation, the house prices located in the industrial area decreased (such areas like, wallsend, walker and byker). Due to this, price houses in jesmond and Gosforth increased rapidly.
Methodology
The data I used for this project was collected from five different website. The type of houses I picked ranged from one bedroom flats to six bedrooms. 100 houses were picked randomly. Fifty from jesmond and also fifty from walker; with 18 one bedroom flat, 18 two bedroom flat, 17 three bedroom flat, 17 four bedroom flat, 17 five bedroom flat, and 13 six bedroom flat.
Frequency tables for group data
Walker
House price (£) | frequency | Cumulative frequency | 0 ≤ X < 40,000 | 5 | 5 | 40,000 ≤ X < 45,000 | 4 | 9 | 45,000 ≤ X < 55,000 | 5 | 14 | 55,000 ≤ X < 80,000 | 6 | 20 | 80,000 ≤ X < 150,000 | 11 | 31 | 150,000 ≤ X < 180,000 | 6 | 37 | 180,000 ≤ X < 240,000 | 5 | 42 | 240,000 ≤ X < 285,000 | 4 | 46 | 285,000 ≤ X < 295,000 | 4 | 50 |
jesmond House price (£) | Frequency | Cumulative frequency | 0 ≤ X < 55,000 | 5 | 5 | 55,000 ≤ X < 75,000 | 4 | 9 | 75,000 ≤ X < 110,000 | 4 | 13 | 110,000 ≤ X < 155,000 | 7 | 20 | 155,000 ≤ X
This project aims to discover which houses are more expensive in jesmond and walker. Source of determination is carried out by a random survey and primary research.
Hypothesis.
It is an ascertained fact that houses in jemsond are more expensive than those in walker due to the fact that jesmond has a greater distance from the industrial area than that of walker.
Background
In the past few year, prices of houses in the United Kingdom has increased rapidly due to inflation. The government has tried to solve this problem by trying to reduce house prices and also build more houses in other to remove the homeless people from the streets. Newcastle upon tyne is a city that started as a rural area and transformed into an urban area. Because of the industrial reformation, the house prices located in the industrial area decreased (such areas like, wallsend, walker and byker). Due to this, price houses in jesmond and Gosforth increased rapidly.
Methodology
The data I used for this project was collected from five different website. The type of houses I picked ranged from one bedroom flats to six bedrooms. 100 houses were picked randomly. Fifty from jesmond and also fifty from walker; with 18 one bedroom flat, 18 two bedroom flat, 17 three bedroom flat, 17 four bedroom flat, 17 five bedroom flat, and 13 six bedroom flat.
Frequency tables for group data
Walker
House price (£) | frequency | Cumulative frequency | 0 ≤ X < 40,000 | 5 | 5 | 40,000 ≤ X < 45,000 | 4 | 9 | 45,000 ≤ X < 55,000 | 5 | 14 | 55,000 ≤ X < 80,000 | 6 | 20 | 80,000 ≤ X < 150,000 | 11 | 31 | 150,000 ≤ X < 180,000 | 6 | 37 | 180,000 ≤ X < 240,000 | 5 | 42 | 240,000 ≤ X < 285,000 | 4 | 46 | 285,000 ≤ X < 295,000 | 4 | 50 |
jesmond House price (£) | Frequency | Cumulative frequency | 0 ≤ X < 55,000 | 5 | 5 | 55,000 ≤ X < 75,000 | 4 | 9 | 75,000 ≤ X < 110,000 | 4 | 13 | 110,000 ≤ X < 155,000 | 7 | 20 | 155,000 ≤ X