Type of paper: Essay

Topic: Tourism, Industry, Information, Tourist, Hospitality, Data Analysis, Government, Politics

Pages: 4

Words: 1100

Published: 2020/12/23

The employability rates of educated youths has reduced and the government intends to come up with measures to curb the increasing number of unemployed youths. The government has explored different sectors of its economy and it is particularly interested in its Hospitality and Tourism industry. The government believes that, if proper incentives are offered to the stakeholders in this industry, the government will be able ensure the employability of a majority of the youths in the next three years. The government will also be able to collect substantial revenue from the stakeholders in this industry.

Questionnaire

A questionnaire is designed which will be able to capture the stakeholders and their role in the hospitality and tourism industry. Respondents are sampled from all the stakeholders of the tourism industry (Pallant, 3). The questions included in the questionnaire are;

What is your gender?

How many years of experience do you have in the hospitality and tourism industry?
Which sector in the hospitality and tourism industry do you believe require immediate support?
Which sector in the hospitality and tourism industry do you believe is self-sufficient and does not require support?
Coding of the variables is done in the SPSS file attached.
SPSS file is attached
Frequencies command
The histogram of the variable Experience appears to be normally distributed, this allows the use of many statistical tools in analysis and also in the interpretation and inference of the results.

Descriptive command

The mean of the respondents is 14 years which indicate that the respondents considered in the study have been in the industry for some time and as such we believe they have an understanding of the industry (Weinberg, 66).
The mean of the variable hotels is 53%, and the mean of the variable attraction is 62%. These statistics indicate that a majority of the respondents in the data set believe that the hotels available and their state will determine the selection by a tourist to visit the country by 53%. Tourist attraction sites will determine the selection of a tourist to visit the country 62% of the time. Therefore, the respondents believe that although hotels determine the decision by the tourist to visit a country, the availability of tourist attraction site will in most cases be the determining factor (Verma, 381).

Chi-Square test.

A majority of the respondents believe that a change in the management of tourist attraction site is the sector that requires immediate attention in the hospitality and tourism industry. Security is also a concern to most of the respondents as 50 out of the 145 respondents considered it the sector that requires immediate attention.
The chi-square test is insignificant at 95% confidence level, as such we fail to reject the null hypothesis that the perception of respondents on which sector needs immediate support for its sustainability does not differ across the categories of gender. Therefore, we can assume that the perceptions are the same across the categories of gender (Roxy et al, 545).

The recoded variable and the definition of the terms is included in the SPSS file attached (Field, 14).

Included below is a frequency table on the percentages of the recoded experience variable (Carver, 66)
Chi-square test
The Pearson chi-square p-value is obtained to be 0.559 (Hulsizer, 148).
The p-value is 0.559 which is greater than 0.5, therefore, we fail to reject the null hypothesis and conclude that the perceptions on the sector that needs immediate support for its sustainability do not differ according to the years of experience (Foster, 196).

Bibliography

CARVER, R. H., & NASH, J. G. (2011). Doing data analysis with SPSS version 18.0. Boston, MA, Brooks/Cole Cengage Learning.
FIELD, A. P. (2000). Discovering statistics using SPSS for Windows advanced techniques for the beginner. London, Sage Publications.
FOSTER, J. J. (1998). Data analysis using SPSS for Windows a beginner's guide. London, Sage Publications. http://catalog.hathitrust.org/api/volumes/oclc/40925722.html.
Gupta, V. (1999). SPSS for Beginners. New Delhi: Gupta books.
HULSIZER, M. R., & WOOLF, L. M. (2009). A guide to teaching statistics innovations and best practices. Malden, MA, Wiley-Blackwell Pub. http://site.ebrary.com/id/10301222.
LANDAU, S., & EVERITT, B. S. (2004). A handbook of statistical analyses using SPSS. Boca Raton, Fla. [u.a.], Chapman & Hall/CRC.
PALLANT, J. (2007). Spss survival manual a step by step guide to data analysis using spss. [Place of publication not identified], Allen & Unwin. http://public.eblib.com/choice/publicfullrecord.aspx?p=309378.
Roxy, P., Chris O., & Jay L. D. (2014). Introduction to Statistics and Data Analysis. Boston, MA: Cengage Learning.
VERMA, J. P. (2013). Data analysis in management with SPSS software. New Delhi, Springer. http://site.ebrary.com/id/10656855.
WEINBERG, S. L., & ABRAMOWITZ, S. K. (2002). Data analysis for the behavioral sciences using SPSS. Cambridge, UK, Cambridge University Press.

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