• British Virgin Islands Tourism 2004 - 2005

    Pages: 10

    This 10 page paper is a statistical analysis of the types of tourist travel to the British Virgin Islands (BVI) between 2004 and 2005. The paper starts with an introduction and a methodology and then uses official statistics to create data that would be useful in any analysis of the tourists going to the BVI. The bibliography cites 5 sources.

    File: TS14_TEBVItour.rtf

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    Sample Text:
    has received a great deal of investment and attention. The country has managed to attract day visitors, an increasing number of cruise ships and as travel fears to the middle  each have increased an increasing number of international visitors that are looking for an alterative area. There are factors that can hinder tourism, such as hurricanes, but as one hurricane  can hurt, another may bring benefit when it misses the islands and causes cruise ships to change routes and use the BVI as an alternative to damaged or suffering areas.  When a tourism vital to an economy is this important it is the industry is understood, for this the use of statistical analysis can be of vital importance in  planning for the future and understanding areas of potential development and risk. This paper will study the British Virgin Islands and look at the tourist patterns seen in the area  in 2004 and 2005. The statistical analysis will be mainly descriptive and for many analytical statistical tests longer data periods can be very advantageous. 2. Methodology The aim of  the study is to look at the sources and value of the different types of tourist. The main method of research is the use of quantitative data taken the British  Virgin Islands Governments web site where different economic statistics are presented. This can be assumed to be an accurate and reliable source. This means that the sample size is large  and is made up of the entire tourist market to the BVI in 2004 and 2005. The statistics will be taken and analysed with descriptive methods, to consider the  different methods of travel to the islands and the relative importance of the tourists using the different methods. The most reliable source of data for this type of analysis is 

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