The document summarizes the results of a survey comparing expenditures of Turkish and foreign tourists in Northern Cyprus. It finds that while Turkish tourists spent more on entertainment, foreign tourists spent more on transportation. For most other expenditure categories like accommodations, food, activities, and shopping, the differences in spending between Turkish and foreign tourists were not statistically significant. The document uses statistical tests like ANOVA to analyze relationships between nationality and various types of expenditures.
The document discusses problems facing Pakistan's tourism industry and its potential as a source of revenue. Some problems include a lack of infrastructure, inability to handle natural disasters, inefficient airlines, and unfavorable political conditions like terrorism. Statistics show tourism receipts accounted for only 0.2-0.3% of GDP from 2004-2007, and 1.3-1.6% of exports. To develop tourism, the government implements policies for marketing, maintains tourist centers, and develops tourism infrastructure. While tourism saw steady growth from 2008-2009, most visitors came to meet family or for business rather than leisure.
1. China has become the world's largest source of outbound tourism, with 50 million outbound trips in 2009. The rapid growth is driven by China's sustained economic development and rising incomes.
2. Chinese tourists traveling abroad are typically young, well-educated professionals with higher incomes. They travel in small groups with family or friends. Popular destinations include other Asian countries as well as Europe and the United States.
3. Chinese tourists are high-spending, particularly on shopping. Their spending habits and preferences are influencing tourism industries in destinations worldwide.
3D printers are becoming more popular as the technology advances. They can create objects of almost any shape or geometry out of materials like plastic, metal, and glass. A new faster 3D printing method called CLIP can print objects up to 100 times faster than existing printers. 3D printers have applications in industries like manufacturing, fashion, and food as well as in medicine for printing tissues and organs. While the technology offers advantages like increased innovation and customization, survey respondents noted limitations like small sizes and limited material options as reasons for not being interested in purchasing a 3D printer themselves. Most see 3D printers becoming more widely used in the future but not very important to their daily lives currently.
William Fisher is seeking a career utilizing his 15 years of experience in customer service, retailing, and management. He has held several roles in the grocery and food service industries, most recently as a Brand Ambassador for Sleep Number where he provides customer service and troubleshoots product issues. Prior to that, he was Grocery Department Manager at Lakewinds Food Co-op where he oversaw a department with $9 million in annual sales. He also has experience supervising staff and inventory management from his roles as Grocery Department Supervisor and Receiving Clerk at Lakewinds Natural Foods. Fisher holds a Bachelor's degree in Mass Communications from Winona State University.
This document is a resume for William Fisher. It summarizes his career experience spanning over 20 years working in customer service, retail management, and grocery operations. His most recent role is as a Brand Ambassador for Sleep Number, where he provides customer service and troubleshoots product issues. Prior to that, he held various management and supervisory roles at Lakewinds Food Co-op, including Grocery Department Manager and Receiving Clerk. He also has experience as a Food and Beverage Manager at Chanhassen Dinner Theatres.
Fuente: http://www.qtmexico.com/general/lo-que-en-realidad-nos-gusta-a-las-mujeres/
Tips para enamorar a una mujer
Los códigos de seducción han cambiado. La lucha por la igualdad hombre / mujer y los nuevos territorios conquistados por
ellas, pusieron patas arriba todo lo establecido. Para convocar a Cupido con éxito, los hombres deben reinventar sus
estrategias. ¿De qué manera seducir a una mujer hoy? Nuestro plan, en 7 puntos, con Alexandre Roth, autor de “Hombre
seductor”.
Después de la revolución feminista las mujeres imponen nuevos códigos amorosos a los hombres, haciendo que estos últimos,
acorazados por siglos educativos, dejen sus territorios. En una sociedad en pleno cambio, los hombres no saben de qué forma
actuar en frente de los deseos de las mujeres que en ocasiones pueden parecer contradictorios: reivindican la necesidad de
ser valoradas y también conquistadas.
No obstante, favorecer tu potencial de seducción conjugando vulnerabilidad y hombría, es posible: gustarse es la mejor manera
de gustar a las mujeres. Alexandre Roth, fundador de una agencia de coaching para hombres, plantea un enfoque más global
de la seducción, entre desarrollo personal e investigación de estilo
The document discusses problems facing Pakistan's tourism industry and its potential as a source of revenue. Some problems include a lack of infrastructure, inability to handle natural disasters, inefficient airlines, and unfavorable political conditions like terrorism. Statistics show tourism receipts accounted for only 0.2-0.3% of GDP from 2004-2007, and 1.3-1.6% of exports. To develop tourism, the government implements policies for marketing, maintains tourist centers, and develops tourism infrastructure. While tourism saw steady growth from 2008-2009, most visitors came to meet family or for business rather than leisure.
1. China has become the world's largest source of outbound tourism, with 50 million outbound trips in 2009. The rapid growth is driven by China's sustained economic development and rising incomes.
2. Chinese tourists traveling abroad are typically young, well-educated professionals with higher incomes. They travel in small groups with family or friends. Popular destinations include other Asian countries as well as Europe and the United States.
3. Chinese tourists are high-spending, particularly on shopping. Their spending habits and preferences are influencing tourism industries in destinations worldwide.
3D printers are becoming more popular as the technology advances. They can create objects of almost any shape or geometry out of materials like plastic, metal, and glass. A new faster 3D printing method called CLIP can print objects up to 100 times faster than existing printers. 3D printers have applications in industries like manufacturing, fashion, and food as well as in medicine for printing tissues and organs. While the technology offers advantages like increased innovation and customization, survey respondents noted limitations like small sizes and limited material options as reasons for not being interested in purchasing a 3D printer themselves. Most see 3D printers becoming more widely used in the future but not very important to their daily lives currently.
William Fisher is seeking a career utilizing his 15 years of experience in customer service, retailing, and management. He has held several roles in the grocery and food service industries, most recently as a Brand Ambassador for Sleep Number where he provides customer service and troubleshoots product issues. Prior to that, he was Grocery Department Manager at Lakewinds Food Co-op where he oversaw a department with $9 million in annual sales. He also has experience supervising staff and inventory management from his roles as Grocery Department Supervisor and Receiving Clerk at Lakewinds Natural Foods. Fisher holds a Bachelor's degree in Mass Communications from Winona State University.
This document is a resume for William Fisher. It summarizes his career experience spanning over 20 years working in customer service, retail management, and grocery operations. His most recent role is as a Brand Ambassador for Sleep Number, where he provides customer service and troubleshoots product issues. Prior to that, he held various management and supervisory roles at Lakewinds Food Co-op, including Grocery Department Manager and Receiving Clerk. He also has experience as a Food and Beverage Manager at Chanhassen Dinner Theatres.
Fuente: http://www.qtmexico.com/general/lo-que-en-realidad-nos-gusta-a-las-mujeres/
Tips para enamorar a una mujer
Los códigos de seducción han cambiado. La lucha por la igualdad hombre / mujer y los nuevos territorios conquistados por
ellas, pusieron patas arriba todo lo establecido. Para convocar a Cupido con éxito, los hombres deben reinventar sus
estrategias. ¿De qué manera seducir a una mujer hoy? Nuestro plan, en 7 puntos, con Alexandre Roth, autor de “Hombre
seductor”.
Después de la revolución feminista las mujeres imponen nuevos códigos amorosos a los hombres, haciendo que estos últimos,
acorazados por siglos educativos, dejen sus territorios. En una sociedad en pleno cambio, los hombres no saben de qué forma
actuar en frente de los deseos de las mujeres que en ocasiones pueden parecer contradictorios: reivindican la necesidad de
ser valoradas y también conquistadas.
No obstante, favorecer tu potencial de seducción conjugando vulnerabilidad y hombría, es posible: gustarse es la mejor manera
de gustar a las mujeres. Alexandre Roth, fundador de una agencia de coaching para hombres, plantea un enfoque más global
de la seducción, entre desarrollo personal e investigación de estilo
Este documento presenta información sobre gráficas en Excel. Explica los diferentes tipos de gráficas como gráficas de barras, líneas, circulares e histogramas. Luego describe cómo crear un gráfico de barras en Excel, incluyendo ajustar el valor máximo del eje horizontal. Finalmente, menciona otros tipos derivados de gráficas de barras como barras apiladas y en 3D.
The document discusses different types of 3D printing technologies including subtractive manufacturing, additive manufacturing, stereolithography, selective laser sintering, fused deposition modeling, and digital light processing. It provides details on the history and development of these technologies from the 1980s onward. The key advantages of 3D printing discussed are rapid prototyping, customization of designs, and potential applications in industries like manufacturing, construction, automotive, medical and more.
3D printing, also known as additive manufacturing, is a process that creates three-dimensional objects from a digital file by laying down successive layers of material. The first 3D printer was created in 1984 by Charles Hull. Now 3D printing has applications in industries like medical, automotive, defense, and more. 3D printing offers advantages like rapid prototyping, ability to create complex shapes, and customization. While the technology is still developing, with costs decreasing and quality increasing, 3D printers may become common household appliances within the next decade.
A complete illustrated ppt on 3D printing technology. All the additive processes,Future and effects are well described with relevant diagram and images.Must download for attractive seminar presentation.3D Printing technology could revolutionize and re-shape the world. Advances in 3D printing technology can significantly change and improve the way we manufacture products and produce goods worldwide. If the last industrial revolution brought us mass production and the advent of economies of scale - the digital 3D printing revolution could bring mass manufacturing back a full circle - to an era of mass personalization, and a return to individual craftsmanship.
Diana Matta took a weekend trip with her boyfriend to nearby towns outside of Chia, Colombia. They traveled to Villeta where they ate grilled chicken and fries and drank iced tea before staying in a hotel near the road since no other rooms were available. The next day they continued their journey, getting stopped by police for speeding, and spent time in Guaduas meeting pleasant locals before returning to Chia by bike on Tuesday evening, with Diana describing her last holiday as exciting.
Industrial safety is primarily a management activity concerned with reducing, controlling, and eliminating hazards. It has several objectives, including preventing accidents, injuries, and lost production. Safety is achieved through various means, including engineering controls, education, encouraging safe behaviors, and organizing safety committees. Proper safety organization, training, and promotion are needed to effectively manage industrial safety.
This short document promotes creating presentations using Haiku Deck on SlideShare. It includes stock photos and text suggesting the reader can get started making their own Haiku Deck presentation. In a few words, it advertises the ability to easily create presentations on SlideShare using Haiku Deck.
Este documento describe diferentes tipos de gráficos y cómo representan datos estadísticos. Explica gráficos de barras, líneas, áreas, circulares y otros que muestran comparaciones, tendencias y contribuciones relativas de valores a lo largo del tiempo o entre categorías. Además, proporciona ejemplos de cuándo usar cada tipo de gráfico para comunicar mejor la información.
Fuente: http://tecnicasdeseduccion.org/como-enamorar-a-una-mujer/
Decirle que la quieres demasiado pronto va a tener el mismo efecto que el punto anterior: va a saber que te tiene
y eso no le
agrada a ninguna mujer
. Lo mismo ocurrirá con cualquier otra cosa que le afirmes y le de a comprender que ya te tiene.
Más del 90 por ciento de los hombres comenten alguno de estos tres errores.
Si consigues evitarlos tendrás la mayoría del
camino andado, ahora vamos a recorrer la parte que nos falta
Aprende esta rara técnica de seduccionHector Lopez
Este documento presenta una fórmula simple para aumentar las oportunidades de tener relaciones íntimas. La fórmula es Sexo = Percepción + Oportunidad. Explica que la percepción se refiere a ser percibido como sexualmente deseable por la pareja, mientras que la oportunidad se refiere a tener un lugar y momento adecuado para las relaciones íntimas. Aconseja identificar y eliminar los obstáculos que impiden la oportunidad y aumentar los factores que la fomentan, como tener una habitación limpia y mús
Este documento proporciona una introducción y descripción detallada de los diferentes tipos de gráficos que se pueden crear en Microsoft Excel. Explica los usos y propósitos de gráficos de columnas, líneas, circulares, de barras, de área, dispersión, cotizaciones, superficie, anillos, burbujas y radiales. Para cada tipo de gráfico, describe sus diferentes subtipos y cuando sería adecuado utilizar cada uno. El objetivo es ayudar al lector a evaluar y decidir qué tipo de gráfico
El documento describe los diferentes tipos de gráficos en Excel, incluyendo gráficos de columna, línea, circulares, de barra, área, XY y de superficie. Cada tipo de gráfico muestra la información de manera diferente, por lo que es importante elegir el adecuado para interpretar correctamente los datos. Los gráficos más utilizados son los de columna, línea, circulares y de barra.
Este documento presenta un resumen de los diferentes tipos de gráficos, incluyendo gráficos de columnas, líneas, circulares, barras, áreas, dispersión, cotizaciones y superficie. Explica las características y subtipos de cada gráfico con ejemplos. El objetivo es ayudar a los estudiantes a comprender y crear diferentes tipos de gráficos.
MARKET ANALYSIS IN GREECE REGARDING THE FILED OF TOURISMmakisb1
Tourism is of high importance for the economy of a country
Many organizations record and analyze tourism data
The current manuscript statistically analyzes the tourism in Greece for the years from 2007 to 2016:
Using the simple linear trend model, we make a forecast for tourist nights spend in Greece till 2021, using time series analysis. We also use the regression analysis as another method (night spend by arrivals).
In machine learning, we make a forecast for nights spend in Greece using regression analysis (night spend by arrivals)
IndexESTIMATES FOR THE YEAR ENDING SEPTEMBER 2019 FROM THE INTERNA.docxEstelaJeffery653
IndexESTIMATES FOR THE YEAR ENDING SEPTEMBER 2019 FROM THE INTERNATIONAL VISITOR SURVEYINTERNATIONAL VISITOR TRIPS - ANNUALTable 1aINTERNATIONAL VISITORS, VISITOR NIGHTS AND TOTAL TRIP EXPENDITURE BY COUNTRY OF RESIDENCE - ORIGINAL DATATable 1bINTERNATIONAL VISITORS, VISITOR NIGHTS AND TOTAL TRIP EXPENDITURE BY COUNTRY OF RESIDENCE - AVERAGESTable 1cINTERNATIONAL VISITORS BY FIRST/RETURN VISIT, COUNTRY OF RESIDENCE AND MAIN PURPOSE - ANNUAL ESTIMATESTable 2aINTERNATIONAL VISITORS, VISITOR NIGHTS AND TOTAL TRIP EXPENDITURE BY MAIN REASON FOR VISITING AUSTRALIA - ORIGINAL DATATable 2bINTERNATIONAL VISITORS, VISITOR NIGHTS AND TOTAL TRIP EXPENDITURE BY MAIN REASON FOR VISITING AUSTRALIA - AVERAGESTable 3aINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY STATE/TERRITORY VISITED - ALL ACCOMMODATIONTable 3bINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY STATE/TERRITORY VISITED - COMMERCIAL ACCOMMODATION ONLYTable 3cINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY STATE/TERRITORY VISITED - BACKPACKERS ONLYTable 4INTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY STATE/TERRITORY VISITED AND REASON FOR VISITTable 5aTOTAL TRIP EXPENDITURE BY ITEM OF EXPENDITURE FOR INTERNATIONAL VISITORS - TOP 5 COUNTRIES OF RESIDENCE - TOTAL EXPENDITURE ESTIMATESTable 5bTOTAL TRIP EXPENDITURE BY ITEM OF EXPENDITURE FOR INTERNATIONAL VISITORS - TOP 5 COUNTRIES OF RESIDENCE - AVERAGE EXPENDITURETable 6aTOTAL TRIP EXPENDITURE BY ITEM OF EXPENDITURE FOR INTERNATIONAL VISITORS BY PURPOSE FOR VISITING AUSTRALIA - TOTAL EXPENDITURE ESTIMATESTable 6bTOTAL TRIP EXPENDITURE BY ITEM OF EXPENDITURE FOR INTERNATIONAL VISITORS BY PURPOSE FOR VISITING AUSTRALIA - AVERAGE EXPENDITURETable 7TOTAL EXPENDITURE BY ITEM, FOR INTERNATIONAL VISITORS - BACKPACKERS AND NON-BACKPACKERSTable 8INTERNATIONAL VISITOR NIGHTS BY TYPE OF ACCOMMODATION USEDTable 9aINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE FOR TOP 50 REGIONS - ALL VISITORSTable 9bINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY TOP 30 REGIONS - BACKPACKERS ONLYTable 10aINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY CAPITAL/REGIONAL - ALL VISITORSTable 10bINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY CAPITAL/REGIONAL - BACKPACKERS ONLYReference Page
Table 1a1A INTERNATIONAL VISITORS, VISITOR NIGHTS AND TOTAL TRIP EXPENDITURE BY COUNTRY OF RESIDENCE a VISITORS ('000) VISITOR NIGHTS ('000) TOTAL TRIP EXPENDITURE ($M)YEAR ENDING SEPTEMBER 2018New Zealand1 25712 8952 565Japan41910 4721 826Hong Kong2766 8111 288Singapore3815 7091 462Malaysia3578 8351 336Indonesia1845 730805Taiwan1879 4091 005Thailand914 262462Korea27811 0401 622China*1 31657 43211 517India32518 7491 597Other Asia37518 8911 787United States of America73713 0523 655Canada1644 530829United Kingdom69922 4433 487Germany2008 8701 192Scandinavia1083 833630France1306 631816Italy734 106498Netherlands562 182346Switzerland541 611377O.
IndexESTIMATES FOR THE YEAR ENDING SEPTEMBER 2019 FROM THE INTERNA.docxannettsparrow
This document contains tables of statistics from the International Visitor Survey on international visitors to Australia for the years ending September 2018 and September 2019. The statistics include numbers of visitors and visitor nights, total trip expenditure, and expenditures broken down by country of residence, purpose of visit, state/territory visited, and item of expenditure. There are over 50 tables that provide detailed breakdowns of visitation and spending patterns across various categories.
Survey of Chinese Travellers to New Zealand Mono v DualGlenn Wedlock
Reseach into the difference between Chinese travellers to New Zealand and those travelling to Other Countries and New Zealand (e.g. Australia and New Zealand)
Presentation contains brief review of the analysis of return to commuting in Sweden. The research is based on highly informative administrative data set and various econometric techniques to tackle the problem of endogeneity. Results assign the monetary value for the return per kilometer of commuting.
Papua New Guinea Agritourism Policy Setting Workshop 2019
Policy setting for Improved Linkages Between Agriculture, Trade and Tourism:
Strengthening the Local Agrifood Sector and Promoting Healthy Food in Agritourism
Workshop organised by the Government of Papua New Guinea
in collaboration with and Pacific Community, CTA, PIPSO, IFAD and SPTO
Port Moresby, Papua New Guinea, 27-28th May 2019.
The document discusses the visitor economy in England. It notes that the sector is currently worth £106 billion, provides 2.6 million jobs, and is projected to be worth £217 billion by 2025. It benefits every part of the country. Tourism has grown throughout the recession. The majority of visitor spending comes from the domestic market. The seaside remains an important part of the visitor economy, accounting for 31% of overnight domestic holidays in 2012, though numbers have fallen back to pre-recession levels. Effective destination management and partnerships across national and sub-national organizations are seen as critical to further growing the visitor economy.
Este documento presenta información sobre gráficas en Excel. Explica los diferentes tipos de gráficas como gráficas de barras, líneas, circulares e histogramas. Luego describe cómo crear un gráfico de barras en Excel, incluyendo ajustar el valor máximo del eje horizontal. Finalmente, menciona otros tipos derivados de gráficas de barras como barras apiladas y en 3D.
The document discusses different types of 3D printing technologies including subtractive manufacturing, additive manufacturing, stereolithography, selective laser sintering, fused deposition modeling, and digital light processing. It provides details on the history and development of these technologies from the 1980s onward. The key advantages of 3D printing discussed are rapid prototyping, customization of designs, and potential applications in industries like manufacturing, construction, automotive, medical and more.
3D printing, also known as additive manufacturing, is a process that creates three-dimensional objects from a digital file by laying down successive layers of material. The first 3D printer was created in 1984 by Charles Hull. Now 3D printing has applications in industries like medical, automotive, defense, and more. 3D printing offers advantages like rapid prototyping, ability to create complex shapes, and customization. While the technology is still developing, with costs decreasing and quality increasing, 3D printers may become common household appliances within the next decade.
A complete illustrated ppt on 3D printing technology. All the additive processes,Future and effects are well described with relevant diagram and images.Must download for attractive seminar presentation.3D Printing technology could revolutionize and re-shape the world. Advances in 3D printing technology can significantly change and improve the way we manufacture products and produce goods worldwide. If the last industrial revolution brought us mass production and the advent of economies of scale - the digital 3D printing revolution could bring mass manufacturing back a full circle - to an era of mass personalization, and a return to individual craftsmanship.
Diana Matta took a weekend trip with her boyfriend to nearby towns outside of Chia, Colombia. They traveled to Villeta where they ate grilled chicken and fries and drank iced tea before staying in a hotel near the road since no other rooms were available. The next day they continued their journey, getting stopped by police for speeding, and spent time in Guaduas meeting pleasant locals before returning to Chia by bike on Tuesday evening, with Diana describing her last holiday as exciting.
Industrial safety is primarily a management activity concerned with reducing, controlling, and eliminating hazards. It has several objectives, including preventing accidents, injuries, and lost production. Safety is achieved through various means, including engineering controls, education, encouraging safe behaviors, and organizing safety committees. Proper safety organization, training, and promotion are needed to effectively manage industrial safety.
This short document promotes creating presentations using Haiku Deck on SlideShare. It includes stock photos and text suggesting the reader can get started making their own Haiku Deck presentation. In a few words, it advertises the ability to easily create presentations on SlideShare using Haiku Deck.
Este documento describe diferentes tipos de gráficos y cómo representan datos estadísticos. Explica gráficos de barras, líneas, áreas, circulares y otros que muestran comparaciones, tendencias y contribuciones relativas de valores a lo largo del tiempo o entre categorías. Además, proporciona ejemplos de cuándo usar cada tipo de gráfico para comunicar mejor la información.
Fuente: http://tecnicasdeseduccion.org/como-enamorar-a-una-mujer/
Decirle que la quieres demasiado pronto va a tener el mismo efecto que el punto anterior: va a saber que te tiene
y eso no le
agrada a ninguna mujer
. Lo mismo ocurrirá con cualquier otra cosa que le afirmes y le de a comprender que ya te tiene.
Más del 90 por ciento de los hombres comenten alguno de estos tres errores.
Si consigues evitarlos tendrás la mayoría del
camino andado, ahora vamos a recorrer la parte que nos falta
Aprende esta rara técnica de seduccionHector Lopez
Este documento presenta una fórmula simple para aumentar las oportunidades de tener relaciones íntimas. La fórmula es Sexo = Percepción + Oportunidad. Explica que la percepción se refiere a ser percibido como sexualmente deseable por la pareja, mientras que la oportunidad se refiere a tener un lugar y momento adecuado para las relaciones íntimas. Aconseja identificar y eliminar los obstáculos que impiden la oportunidad y aumentar los factores que la fomentan, como tener una habitación limpia y mús
Este documento proporciona una introducción y descripción detallada de los diferentes tipos de gráficos que se pueden crear en Microsoft Excel. Explica los usos y propósitos de gráficos de columnas, líneas, circulares, de barras, de área, dispersión, cotizaciones, superficie, anillos, burbujas y radiales. Para cada tipo de gráfico, describe sus diferentes subtipos y cuando sería adecuado utilizar cada uno. El objetivo es ayudar al lector a evaluar y decidir qué tipo de gráfico
El documento describe los diferentes tipos de gráficos en Excel, incluyendo gráficos de columna, línea, circulares, de barra, área, XY y de superficie. Cada tipo de gráfico muestra la información de manera diferente, por lo que es importante elegir el adecuado para interpretar correctamente los datos. Los gráficos más utilizados son los de columna, línea, circulares y de barra.
Este documento presenta un resumen de los diferentes tipos de gráficos, incluyendo gráficos de columnas, líneas, circulares, barras, áreas, dispersión, cotizaciones y superficie. Explica las características y subtipos de cada gráfico con ejemplos. El objetivo es ayudar a los estudiantes a comprender y crear diferentes tipos de gráficos.
MARKET ANALYSIS IN GREECE REGARDING THE FILED OF TOURISMmakisb1
Tourism is of high importance for the economy of a country
Many organizations record and analyze tourism data
The current manuscript statistically analyzes the tourism in Greece for the years from 2007 to 2016:
Using the simple linear trend model, we make a forecast for tourist nights spend in Greece till 2021, using time series analysis. We also use the regression analysis as another method (night spend by arrivals).
In machine learning, we make a forecast for nights spend in Greece using regression analysis (night spend by arrivals)
IndexESTIMATES FOR THE YEAR ENDING SEPTEMBER 2019 FROM THE INTERNA.docxEstelaJeffery653
IndexESTIMATES FOR THE YEAR ENDING SEPTEMBER 2019 FROM THE INTERNATIONAL VISITOR SURVEYINTERNATIONAL VISITOR TRIPS - ANNUALTable 1aINTERNATIONAL VISITORS, VISITOR NIGHTS AND TOTAL TRIP EXPENDITURE BY COUNTRY OF RESIDENCE - ORIGINAL DATATable 1bINTERNATIONAL VISITORS, VISITOR NIGHTS AND TOTAL TRIP EXPENDITURE BY COUNTRY OF RESIDENCE - AVERAGESTable 1cINTERNATIONAL VISITORS BY FIRST/RETURN VISIT, COUNTRY OF RESIDENCE AND MAIN PURPOSE - ANNUAL ESTIMATESTable 2aINTERNATIONAL VISITORS, VISITOR NIGHTS AND TOTAL TRIP EXPENDITURE BY MAIN REASON FOR VISITING AUSTRALIA - ORIGINAL DATATable 2bINTERNATIONAL VISITORS, VISITOR NIGHTS AND TOTAL TRIP EXPENDITURE BY MAIN REASON FOR VISITING AUSTRALIA - AVERAGESTable 3aINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY STATE/TERRITORY VISITED - ALL ACCOMMODATIONTable 3bINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY STATE/TERRITORY VISITED - COMMERCIAL ACCOMMODATION ONLYTable 3cINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY STATE/TERRITORY VISITED - BACKPACKERS ONLYTable 4INTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY STATE/TERRITORY VISITED AND REASON FOR VISITTable 5aTOTAL TRIP EXPENDITURE BY ITEM OF EXPENDITURE FOR INTERNATIONAL VISITORS - TOP 5 COUNTRIES OF RESIDENCE - TOTAL EXPENDITURE ESTIMATESTable 5bTOTAL TRIP EXPENDITURE BY ITEM OF EXPENDITURE FOR INTERNATIONAL VISITORS - TOP 5 COUNTRIES OF RESIDENCE - AVERAGE EXPENDITURETable 6aTOTAL TRIP EXPENDITURE BY ITEM OF EXPENDITURE FOR INTERNATIONAL VISITORS BY PURPOSE FOR VISITING AUSTRALIA - TOTAL EXPENDITURE ESTIMATESTable 6bTOTAL TRIP EXPENDITURE BY ITEM OF EXPENDITURE FOR INTERNATIONAL VISITORS BY PURPOSE FOR VISITING AUSTRALIA - AVERAGE EXPENDITURETable 7TOTAL EXPENDITURE BY ITEM, FOR INTERNATIONAL VISITORS - BACKPACKERS AND NON-BACKPACKERSTable 8INTERNATIONAL VISITOR NIGHTS BY TYPE OF ACCOMMODATION USEDTable 9aINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE FOR TOP 50 REGIONS - ALL VISITORSTable 9bINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY TOP 30 REGIONS - BACKPACKERS ONLYTable 10aINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY CAPITAL/REGIONAL - ALL VISITORSTable 10bINTERNATIONAL VISITORS, VISITOR NIGHTS AND REGIONAL EXPENDITURE BY CAPITAL/REGIONAL - BACKPACKERS ONLYReference Page
Table 1a1A INTERNATIONAL VISITORS, VISITOR NIGHTS AND TOTAL TRIP EXPENDITURE BY COUNTRY OF RESIDENCE a VISITORS ('000) VISITOR NIGHTS ('000) TOTAL TRIP EXPENDITURE ($M)YEAR ENDING SEPTEMBER 2018New Zealand1 25712 8952 565Japan41910 4721 826Hong Kong2766 8111 288Singapore3815 7091 462Malaysia3578 8351 336Indonesia1845 730805Taiwan1879 4091 005Thailand914 262462Korea27811 0401 622China*1 31657 43211 517India32518 7491 597Other Asia37518 8911 787United States of America73713 0523 655Canada1644 530829United Kingdom69922 4433 487Germany2008 8701 192Scandinavia1083 833630France1306 631816Italy734 106498Netherlands562 182346Switzerland541 611377O.
IndexESTIMATES FOR THE YEAR ENDING SEPTEMBER 2019 FROM THE INTERNA.docxannettsparrow
This document contains tables of statistics from the International Visitor Survey on international visitors to Australia for the years ending September 2018 and September 2019. The statistics include numbers of visitors and visitor nights, total trip expenditure, and expenditures broken down by country of residence, purpose of visit, state/territory visited, and item of expenditure. There are over 50 tables that provide detailed breakdowns of visitation and spending patterns across various categories.
Survey of Chinese Travellers to New Zealand Mono v DualGlenn Wedlock
Reseach into the difference between Chinese travellers to New Zealand and those travelling to Other Countries and New Zealand (e.g. Australia and New Zealand)
Presentation contains brief review of the analysis of return to commuting in Sweden. The research is based on highly informative administrative data set and various econometric techniques to tackle the problem of endogeneity. Results assign the monetary value for the return per kilometer of commuting.
Papua New Guinea Agritourism Policy Setting Workshop 2019
Policy setting for Improved Linkages Between Agriculture, Trade and Tourism:
Strengthening the Local Agrifood Sector and Promoting Healthy Food in Agritourism
Workshop organised by the Government of Papua New Guinea
in collaboration with and Pacific Community, CTA, PIPSO, IFAD and SPTO
Port Moresby, Papua New Guinea, 27-28th May 2019.
The document discusses the visitor economy in England. It notes that the sector is currently worth £106 billion, provides 2.6 million jobs, and is projected to be worth £217 billion by 2025. It benefits every part of the country. Tourism has grown throughout the recession. The majority of visitor spending comes from the domestic market. The seaside remains an important part of the visitor economy, accounting for 31% of overnight domestic holidays in 2012, though numbers have fallen back to pre-recession levels. Effective destination management and partnerships across national and sub-national organizations are seen as critical to further growing the visitor economy.
This document discusses growing rural tourism in England. It provides statistics showing that domestic tourism has declined slightly in recent years, though countryside trips remain an important part of tourism. While rural areas face some challenges like access and weather, there are also opportunities. Consumers are increasingly interested in activities like heritage, arts, and healthy pursuits that rural areas can provide. Collaboration between local and national organizations will be key to realizing sustainable growth of rural tourism in England.
This study analyzed the costs and benefits of upgrading an existing road through Bwindi Impenetrable National Park in Uganda versus two alternative routes. Modeling estimated that the alternative routes would have higher net present values for the Ugandan economy when considering potential lost tourism revenue from impacts to the gorilla population from road construction through the park. The alternative routes were estimated to benefit more local people through improved access to services and economic opportunities compared to upgrading the existing road through the park.
Brief information on Turkish Tourism Industry including tourism infrastructure, number of visitors, tourism revenues, beach, yacht, congress, winter, health & thermal tourism, top 10 hotel chains in Turkey, and market outlook
Global Economic Contribution of Cruise Tourism - 2013Juan Rodero
The document provides an analysis of the global economic contribution of the cruise tourism industry in 2013. Some key points:
- Cruise tourism generated $52.31 billion in direct expenditures globally and supported a total output of $117.15 billion.
- The industry supported 891,009 jobs worldwide and labor income of $38.47 billion.
- North America accounted for 55% of cruise passengers, Europe 30%, and the rest of the world 15%. The Caribbean, Europe, and other parts of North America were the largest destination markets.
- Between 2003-2013, the global cruise industry grew significantly, with passenger numbers up 77% and cruise ship capacity up 84%. Growth has shifted from North
Visitor numbers and spending in the Red Centre region of Northern Territory, Australia are increasing. Overnight visits to Alice Springs and surrounding areas grew 11% to 383,000 in 2015, while spending increased 6.6% to $326 million. Uluru saw a 16% rise in interstate visitors to 299,000 and international visits to Uluru grew 17% to 154,000. The Barkly region experienced strong growth as well, with domestic visits up 41% to 99,000 and spending increasing significantly.
Customers from South Australia travelled most frequently per year, with a preference for Africa as their next travel destination. Those under 30 travelled most often. Customers aged 30-40 and earning $70,000-$90,000 travelled frequently and preferred comfortable accommodation. Recommendations included special offers for discounted tours to Asia Pacific, Europe, and Africa tailored for customers from different states based on travel preferences and expenditure levels. Customers aged 30-40 and 40-50 were most likely to respond to offers.
Trends and Outlook of Philippine Travel and Tourism IndustryHeinzel Villanueva
The document summarizes trends in the Philippine travel and tourism industry. It provides statistics on domestic and foreign visitor arrivals and spending that have increased in recent years. The top markets for foreign visitors are South Korea, USA, Japan, and China. Most visitors travel for pleasure and are influenced by friends to visit the Philippines. The document outlines the national tourism development plan to promote sustainable tourism and make the Philippines a top destination in Asia through improving infrastructure, developing tourism products and destinations, and improving governance.
This document discusses tourism in Mizoram, India. It defines tourism according to the UNWTO and describes different types of tourism. It then provides statistics on tourism in Northeast India and Mizoram from 2000-2014, showing growth over time. Various sections analyze the potential tourist destinations and circuits in Mizoram based on demand and supply factors. Data on tourist demographics, activities, perceptions and satisfaction are presented. Challenges to Mizoram's tourism industry are discussed. A SWOT analysis of Mizoram's tourism sector is provided. The presentation concludes by exploring opportunities to further develop tourism in Mizoram.
The document discusses different systems for measuring tourism activity. It describes:
1. A general tourism information system which collects tourism supply and demand data at the destination level for efficient tourism policy.
2. The Tourism Satellite Account which provides detailed data on tourism consumption and how domestic supply and imports meet demand. It describes the structure and economic importance of tourism.
3. Tourism and holiday surveys commonly used in different countries to collect data on tourism volumes, spending, origins and other metrics.
Tourism can provide significant economic benefits but also poses risks to the environment if not managed sustainably. It generates income, employment, and tax revenue for destinations but can also strain natural resources through high demand, pollution, and overdevelopment. Sustainable tourism aims to minimize environmental impacts and manage tourism capacity and growth within the limits of local ecosystems. Certification programs have also emerged to recognize hotels and tour operators that adopt environmentally-friendly practices.
Similar to Comparison of Tourists Expenditures in TRNC (20)
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Natural Language Processing (NLP), RAG and its applications .pptxfkyes25
1. In the realm of Natural Language Processing (NLP), knowledge-intensive tasks such as question answering, fact verification, and open-domain dialogue generation require the integration of vast and up-to-date information. Traditional neural models, though powerful, struggle with encoding all necessary knowledge within their parameters, leading to limitations in generalization and scalability. The paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" introduces RAG (Retrieval-Augmented Generation), a novel framework that synergizes retrieval mechanisms with generative models, enhancing performance by dynamically incorporating external knowledge during inference.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
1. GIRNE AMERICAN UNIVERSITY
Department of Industrial Engineering
IE401-IE402
“Comparison of Expenditure From Foreign and
Turkish Citizens Came to North Cyprus“
Students Name
Umur OZ 121703002
3. 1.INTRODUCTION
- In this survey aimed to determining
the comparison of Turkish and foreign
tourist in North Cyprus.
- Our population calculated with
forecasting method and found to be
122400 people on April 2016.
- A total of 300 people who have responded to the
questionnaire. The sampling technique was
completely random but we do not want to disrupt
nature of the population.
- 300 units sample size’s confidence level nearly
equal to 92,56%.
4. 2.GENERAL STATISTICS
• Nationality
• Gender
• Age
• Employee Status
• Arrive to North Cyprus
• First Visit to North Cyprus
• Accommodation Type
• Length of Stay
• Monthly Income
5. 2.1.Nationality
- The highest is Turkish people 70.7% and
the second is UK with 14.3% and Germans
follows the British’s with 9.3%, and the
Iranian, Russian, Sweden can’t reach the
3%.
7. 2.3.Tourists Age
- The larger percentage of the population
which participates is above 58 with
percentage of 24.3%. Followed by
subscribers between age of 28-37 with
23.3%, followed by age of 38-47 years by
21.3%.
8. 2.4.Employee Status
- The highest is employed with 38% and
the second is the retired with 31.3% and
the third one is 19.7%.
9. 2.5.Arrive to North Cyprus
- The pie chart tells us that out of 300
tourists 96.7% arrived by plane, only 3.3%
percent of the sample arrived to North
Cyprus by ship.
10. 2.6.First Visit to North Cyprus
- Out of 300, 169 people came to North
Cyprus for the first time but 131 people are
not first came to North Cyprus. It can be
effect satisfaction very much.
11. 2.7.Accommodation Type
Nationality * AccomodationType Crosstabulation
Count
AccomodationType
TotalHotel
Bungalo
ws Resorts
Apart
Hotels
Nation
ality
GERM
AN
24 1 1 2 28
IRANI
AN
0 4 0 0 4
RUSSI
A
6 0 0 0 6
SWED
EN
6 0 0 1 7
TC 146 3 28 35 212
UK 34 2 2 5 43
Total 216 10 31 43 300
- Out of 6 nationalities only Iranian people choose to stay in bungalows and 5 of the
nationalities chooses to stay in Hotels.
12. 2.8.Length of Stay
- Most of the tourist stays here for 1-3 days
and the other majority of the chart, prefers
to stay 1 week in Cyprus.
13. 2.9.Monthly Income
Nationality * MonthlyIncome Crosstabulation
Count
MonthlyIncome
Total
Under
1000
1001-
1500
1501-
1800
More
Than
1800
National
ity
GERMA
N
1 8 12 7 28
IRANIA
N
0 1 3 0 4
RUSSIA 0 1 5 0 6
SWEDE
N
0 3 4 0 7
TC 47 93 49 23 212
UK 7 21 9 6 43
Total 55 127 82 36 300
- As you see out of 6 nationalities 4 of them earns $1501-$1800, only 2 of them which
means Turkish and British people earns $1001-$1500.
14. 3.MEASUREMENT OF SATISFACTION
• Transportation Prices
• Food Prices
• Tour and Taxi Prices
• Prices of Things
• Accommodation Prices
• Trip Prices
15. 3.1.Transportation Prices
- 40.3% of the tourists say
transportation prices are normal and
reasonable and cheap follow it with
26.7%, 15% respectively.
16. 3.2.Food Prices
- 37% of tourist say food prices expensive
but in the other hand 36.3% say food prices
are normal.
17. 3.3. Tour and Taxi Prices
- The chart tells us that the population
thinking the tour and taxi prices are
normal.
18. 3.4. Prices of Things
- 36.3% of tourist say thing prices normal
but in the other hand 35.7% say thing
prices are expensive.
19. 3.5.Accommodation Prices
- On this chart we can see easily tourists
are deciding on the normal for
accommodation prices.
20. 3.6.Trip Prices
- We can easily say expensive is negligible
with 6.7% in the other hand cheap, normal,
reasonable are nearly equal to each other
with 32.7%, 31%, 29.7% respectively.
21. 4.CORRELATION
• Monthly Income-Organization Holiday
- In here we have two tailed significant, we have a positive correlation coefficient so
there is a positive correlation which is 0.185 which means that there is a relationship
between monthly income and organization of holiday.
Correlations
MonthlyIncome OrganizingHoliday
MonthlyIncome Pearson Correlation 1 ,185*
Sig. (2-tailed) ,038
N 300 126
OrganizingHoliday Pearson Correlation ,185* 1
Sig. (2-tailed) ,038
N 126 126
*. Correlation is significant at the 0.05 level (2-tailed).
22. 5.COMPARISON OF EXPENDITURES
• Tour Expenditures
• Personal Expenditures
• We apply ANOVA TEST to see relationships
between those Turkish and Foreign tourists
expenditures.
23. 5.1.TOUR EXPENDITURES COMPARISATION
• Tour Expenditures
• Extra Accommodation Expenditures
• Extra Food Expenditures
• Extra Transportation Expenditures
• Extra Activity Expenditures
• Shopping Expenditures
• Extra Entertainment Expenditures
24. 5.1.1.Tour Price Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for
tour expenditure.
• H1 : Amount of spending of tourists shows a significant difference for tour
expenditure.
Descriptives
TourTourPrice
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 82 371,5854 190,02254 20,98448 329,8328 413,3379 100,00 750,00
FOREIGN 44 421,4545 123,70867 18,64978 383,8437 459,0654 100,00 700,00
Total 126 389,0000 170,97537 15,23170 358,8546 419,1454 100,00 750,00
ANOVA
TourTourPrice
Sum of Squares df Mean Square F Sig.
Between Groups 71213,188 1 71213,188 2,465 ,119
Within Groups 3582858,812 124 28894,023
Total 3654072,000 125
- p > 0.05, it means Ho is not rejected.
- Foreign tourists mean expenditure value is 421€, and there is no big differences
between that two tourists groups.
25. 5.1.2.Extra Accommodation Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for extra
accommodation.
• H1 : Amount of spending of tourists shows a significant difference for extra
accommodation.
Descriptives
TourAccomodation
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 67 135,0000 134,39821 16,41935 102,2177 167,7823 25,00 600,00
FOREIGN 25 123,0000 107,28661 21,45732 78,7143 167,2857 25,00 450,00
Total 92 131,7391 127,14194 13,25546 105,4088 158,0695 25,00 600,00
ANOVA
TourAccomodation
Sum of Squares df Mean Square F Sig.
Between Groups 2621,739 1 2621,739 ,161 ,689
Within Groups 1468400,000 90 16315,556
Total 1471021,739 91
- p>0.05, it means Ho is not rejected.
- As you see in the table Foreign and Turkish tourists expenditures nearly equal to each
26. 5.1.3.Extra Food Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for extra
food.
• H1 : Amount of spending of tourists shows a significant difference for extra food.
Descriptives
TourFood
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 75 86,0667 50,10323 5,78542 74,5390 97,5944 15,00 200,00
FOREIGN 43 84,4186 46,29370 7,05972 70,1715 98,6657 20,00 200,00
Total 118 85,4661 48,55602 4,46994 76,6136 94,3186 15,00 200,00
ANOVA
TourFood
Sum of Squares df Mean Square F Sig.
Between Groups 74,233 1 74,233 ,031 ,860
Within Groups 275775,132 116 2377,372
Total 275849,364 117
- p>0.05, it means Ho is not rejected.
- As you see in the table Foreign and Turkish tourists expenditures nearly equal to each
other.
27. 5.1.4.Extra Transportation Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for
extra transportation.
• H1 : Amount of spending of tourists shows a significant difference for extra
transportation.
Descriptives
TourTransportation
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 60 27,5000 24,26024 3,13198 21,2329 33,7671 5,00 100,00
FOREIGN 37 41,6216 27,86510 4,58099 32,3309 50,9123 5,00 100,00
Total 97 32,8866 26,46573 2,68719 27,5526 38,2206 5,00 100,00
ANOVA
TourTransportation
Sum of Squares df Mean Square F Sig.
Between Groups 4564,050 1 4564,050 6,918 ,010
Within Groups 62677,703 95 659,765
Total 67241,753 96
- p<0.05, it means we have to accept H1.
- Foreign tourists spend money for transportation nearly 2 times of Turkish tourists
expenditure for transportation.
28. 5.1.5.Extra Activity Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for extra
activity.
• H1 : Amount of spending of tourists shows a significant difference for extra activity.
Descriptives
TourActivity
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 46 56,3043 42,47136 6,26206 43,6919 68,9168 10,00 150,00
FOREIGN 35 72,5714 45,47739 7,68708 56,9494 88,1935 15,00 180,00
Total 81 63,3333 44,26483 4,91831 53,5456 73,1211 10,00 180,00
ANOVA
TourActivity
Sum of Squares df Mean Square F Sig.
Between Groups 5259,689 1 5259,689 2,743 ,102
Within Groups 151490,311 79 1917,599
Total 156750,000 80
- p>0.05, it means Ho is not rejected.
- That difference between two groups is not too much to decide for that sectore.
29. 5.1.6.Shopping Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for
shopping.
• H1 : Amount of spending of tourists shows a significant difference for shopping.
Descriptives
TourShopping
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 68 63,6765 37,08218 4,49687 54,7007 72,6523 25,00 210,00
FOREIGN 38 63,8158 26,87394 4,35953 54,9825 72,6490 30,00 150,00
Total 106 63,7264 33,64423 3,26782 57,2469 70,2059 25,00 210,00
ANOVA
TourShopping
Sum of Squares df Mean Square F Sig.
Between Groups ,473 1 ,473 ,000 ,984
Within Groups 118852,593 104 1142,813
Total 118853,066 105
- p>0.05, it means Ho is not rejected.
- Nearly there is no differences between two groups.
30. 5.1.7.Extra Entertainment Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for
extra entertainment.
• H1 : Amount of spending of tourists shows a significant difference for extra
entertainment.
Descriptives
TourEntertainment
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 67 284,3284 405,23365 49,50717 185,4841 383,1726 10,00 1000,00
FOREIGN 32 113,1250 235,49108 41,62933 28,2214 198,0286 10,00 1000,00
Total 99 228,9899 366,89610 36,87445 155,8138 302,1660 10,00 1000,00
ANOVA
TourEntertainment
Sum of Squares df Mean Square F Sig.
Between Groups 634766,714 1 634766,714 4,903 ,029
Within Groups 12557282,276 97 129456,518
Total 13192048,990 98
- p<0.05, it means we have to accept H1.
- As you see in the table Turkish tourists spend money for entertainment more than 2
times of Foreign expenditure.
32. 5.2.1.Accommodation Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for
accommodation expenditures.
• H1 : Amount of spending of tourists shows a significant difference for
accommodation expenditures.
Descriptives
PersonalAccomodation
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 115 635,9130 525,90589 49,04098 538,7632 733,0628 ,00 2500,00
FOREIGN 43 329,3023 228,71427 34,87860 258,9145 399,6902 140,00 1400,00
Total 158 552,4684 483,28156 38,44782 476,5266 628,4101 ,00 2500,00
ANOVA
PersonalAccomodation
Sum of Squares df Mean Square F Sig.
Between Groups 2942279,142 1 2942279,142 13,609 ,000
Within Groups 33726808,200 156 216197,488
Total 36669087,342 157
- p<0.05, it means we have to accept H1.
- When we check the average expenditures of two groups Turkish tourists spend more
than foreign people when they planning their holiday personaly.
33. 5.2.2.Food Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for food
expenditures.
• H1 : Amount of spending of tourists shows a significant difference for food
expenditures.
Descriptives
PersonalFood
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 124 119,8387 115,17208 10,34276 99,3659 140,3116 20,00 500,00
FOREIGN 44 124,0909 94,08848 14,18437 95,4854 152,6964 35,00 500,00
Total 168 120,9524 109,78470 8,47007 104,2302 137,6746 20,00 500,00
ANOVA
PersonalFood
Sum of Squares df Mean Square F Sig.
Between Groups 587,208 1 587,208 ,048 ,826
Within Groups 2012210,411 166 12121,749
Total 2012797,619 167
- p>0.05, it means Ho is not rejected.
- If we check the differences between two group that difference is to small and it means
there is no relationship between those two groups.
34. 5.2.3.Transportation Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for
transportation expenditures.
• H1 : Amount of spending of tourists shows a significant difference for
transportation expenditures.
Descriptives
PersonalTransportation
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 123 74,1789 60,78921 5,48118 63,3283 85,0294 10,00 280,00
FOREIGN 44 76,0227 35,88709 5,41018 65,1121 86,9334 25,00 200,00
Total 167 74,6647 55,22785 4,27366 66,2269 83,1024 10,00 280,00
ANOVA
PersonalTransportation
Sum of Squares df Mean Square F Sig.
Between Groups 110,179 1 110,179 ,036 ,850
Within Groups 506209,042 165 3067,934
Total 506319,222 166
- p>0.05, it means Ho is not rejected.
- If we check the differences between two group that difference is to small and it means
there is no relationship between those two groups.
35. 5.2.4.Activity Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for activity
expenditures.
• H1 : Amount of spending of tourists shows a significant difference for activity
expenditures.
Descriptives
PersonalActivity
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 73 76,9041 63,69702 7,45517 62,0425 91,7657 5,00 300,00
FOREIGN 42 103,6905 57,96403 8,94404 85,6276 121,7533 10,00 300,00
Total 115 86,6870 62,75885 5,85229 75,0936 98,2803 5,00 300,00
ANOVA
PersonalActivity
Sum of Squares df Mean Square F Sig.
Between Groups 19129,425 1 19129,425 5,028 ,027
Within Groups 429879,305 113 3804,242
Total 449008,730 114
- p<0.05, it means we have to accept H1.
- Foreign tourists spend more than when we compare Turkish tourists.
36. 5.2.5.Shopping Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for
shopping expenditures.
• H1 : Amount of spending of tourists shows a significant difference for shopping
expenditures.
Descriptives
PersonalShopping
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 88 116,3068 86,12839 9,18132 98,0580 134,5557 ,00 400,00
FOREIGN 43 90,0000 85,86396 13,09413 63,5750 116,4250 10,00 400,00
Total 131 107,6718 86,60320 7,56656 92,7022 122,6413 ,00 400,00
ANOVA
PersonalShopping
Sum of Squares df Mean Square F Sig.
Between Groups 19990,170 1 19990,170 2,700 ,103
Within Groups 955024,716 129 7403,292
Total 975014,885 130
- p>0.05, it means Ho is not rejected.
- If we check the table differences for shoppinh expenditure is small as you see. It
doesn’t show significant relationship between those two groups.
37. 5.2.6.Entertainment Expenditures
• Ho : Amount of spending of tourists don’t shows a significant difference for
entertainment expenditures.
• H1 : Amount of spending of tourists shows a significant difference for
entertainment expenditures.
Descriptives
PersonalEntertainment
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
TURKISH 102 248,7255 349,22027 34,57796 180,1321 317,3189 10,00 2000,00
FOREIGN 43 75,0000 109,25614 16,66141 41,3759 108,6241 10,00 650,00
Total 145 197,2069 308,80250 25,64465 146,5183 247,8955 10,00 2000,00
ANOVA
PersonalEntertainment
Sum of Squares df Mean Square F Sig.
Between Groups 912909,479 1 912909,479 10,184 ,002
Within Groups 12818784,314 143 89641,848
Total 13731693,793 144
- p<0.05, it means we have to accept H1.
- As you see Turkish tourists spending 248€ for entertainment more than 3 times when
we compare with foreign tourists.
38. 6.CONCLUSION
• In this survey, Turkish tourists are the majority with 212 tourists and rest of the survey constitute by foreign tourists with 88
tourists.
• The results of the test we applied shows that Turkish tourists and foreign tourists expenditure similar to each other in 7
expenditure type, out of 17 expenditure.
• In those years (2011-2015) Turkish tourists rate increased, as a result it affect by reducing the foreign tourists rates.
• When we look at the tourism statistics for 2015 year, both sides of island (TRNC and Republic of Cyprus), we can see the
differences oblivously.
39. • To increase that rate North Cyprus should do some
procedures as;
▫ Tour Agencies must do some campaigns.
▫ Hotels and Tour Agencies must use the media marketing
techniques more effective (SWOT Analysis).
▫ Goverment could shift the investments in to the tourism
sector.
▫ Support the activities for potential tourists.