Tuesday, December 10, 2019
Research And Statistical Method For Businessââ¬Free Sample
Question: Describe about the Gym Chain is a famous multinational leisure business that had its headquarters at Australia. Answer: Introduction The Gym Chain is a famous multinational leisure business that had its headquarters at Australia. This business is losing its market in the business. They need to understand their customers and their preferences in order to stay in the business (Zhen et al., 2016). 3600 samples were chosen across three different countries of Australia, Singapore and New Zealand (Gujral et al., 2014). Out of the 3600 members, 120 members from each county of this gym had been chosen as participants of the samples. The data was collected and it would be analysed with the help of various statistical methods to understand the preferences and characteristics of the customers who visit the gym (LaHui et al., 2014). This analysis and understanding would help in developing the gym according to the preferences of their customers and increase their business in this industry. Data and data collection The data was collected from an online survey. 1200 members were chosen across three countries and a total of 3600 members were chosen as a population of the survey. Amongst the 3600 members, 120 members from each country was chosen as a sample. They were surveyed through an online questionnaire (Tamura et al., 2013). Only 90 respondents participated in this survey and the data was collected from their responses. Research objective To find the difference in preferences of gym activity across the countries To find the time for gym activities according to gender To find the degree of health consciousness of the customers across the countries Analysis On analysing the given data, the preferences of the three types of gym activities was found. This is given in the table below: cardiovascular equipment weights equipment exercises 1 31 29 30 2 29 32 29 3 30 29 31 Table 1: frequencies of the rank of each gym activity (Source: created by author) Figure 1: Chart of the count of ranks of cardiovascular equipment (Source: created by author) Figure 2: Chart of the count of ranks of weight equipment (Source: created by author) Figure 3: Chart of the count of ranks of equipments (Source: created by author) It was seen Cardiovascular equipments was preferred by most of the respondents. The respondents had given highest number of 1st rank to Cardiovascular equipments (Flores 2013). Exercises were least preferred by the respondents as this had the maximum number of 3rd ranks. From the data set it was seen that the respondents from the three countries had different values in their descriptive statistics. It was seen that the average age of the respondents from Australia was 34.92 years while that from New Zealand was 31.37 years (Bertello et al., 2013). The average age of the respondents from Singapore was 31.103 years. The median age of the respondents for Australia, New Zealand and Singapore was found to be 29 years, 30 years and 30 years respectively. The mode of the age for the three countries was 26 years, 21years, 24 years respectively (Gu, 2013). The standard deviation of the age of the respondents for the countries Australia, New Zealand and Singapore was found to be 14.045, 10.965 and 12.0159 respectively and the variance was 197.2, 120.24 and 144.3818 respectively (Mazefsk et al., 2013). It was found that an average age of the respondents from Singapore was relatively younger than the other two countries. The average amount of calories intake across Australia, New Zealand and Singapore was 2300 Kcal, 2382.4285 Kcal and 2200Kcal respectively while their standard deviation was 361.109, 402.361 and 330.584 (Cardinal Aitken, 2013). In respect to expenditure on the fitness, it was found that the average expenditure across Australia was 23.0769, across New Zealand was 22.314 an across Singapore was 22.55 (Rouder et al., 2012). The standard deviation on expenditure on fitness for the countries Australia, New Zealand and Singapore was 4.922, 5.31, and 4.44 respectively. The variance of this variable was 24.233 for Australia, 28.22 for New Zealand and 19.756 for Singapore (Rouder et al., 2012). Thus, it was found that the people of New Zealand intake maximum amount of calories and the respondents of Australia had spent maximum amount on fitness. Time spent in gym by the respondents were analysed across the gender for bivariate analysis. On conducting the spearmans rho test, the value was found to be 0.989635 (Xie et al., 2013). This states that there is a strong positive correlation between the two variables of gender with respect to time. It could be stated that the tendency of men to spend more time in gym depend on the tendency of women to spend more time in gym. The Pearsons r is 0.272632 (Arthur et al., 2012). This shows a positive correlation between the two variables of gender with respect to the time spent on gym. The strength of the correlation coefficient is weak unlike the spearmans rho test. On performing the t-test between the amounts of calories intake between the respondents of different countries, it was found that the amount of calories intake is not different for different countries at 5% level of significance (Che et al., 2012). T-test was done for the amounts of calories between Australia and New Zealand, Australia and Singapore and New Zealand and Singapore (Yamad et al., 2013). It was found that the p-values were greater than 0.05 in all the three cases. This reveals that the test was not significant and null hypothesis is accepted, which states that the amount of calories intake for the gym goers is not different across the countries (Dav, 2015). The ANOVA test reveals that the p value of the test is 0.66, which is greater than the 5% level of significance. This results to the acceptance of null hypothesis, which states that there is no difference between the calories intake across the different countries (Gonzlez-Rodrguez et al., 2012). Advice to the manager From the findings, it was seen that the average age of the gym users are above 30 years. This depicts that the gym users are mainly in the age group of thirties and the manager of the gym could have proper instruments regarding their gym. People prefer cardiovascular equipments to the other instruments. The manager of the gym could have more and improvised cardiovascular equipments in order to attract more users to the gym. The average amount of time and money spent on gym by the users show that the users are fitness freak and they spent quite a large amount of time and money at gym. This is a positive point for the manager and he can arrange for better instruments and trainers in the gym. The gym manager could also appoint dietarians in the gym. They could measure the height and weight of the users and provide them with appropriate diet chart. This would help the users to know the limit of their calorie intake, which would help them to stay fit, further. Suggestions regarding the improvement of questionnaire The questionnaire could have been improved further. The respondents could be asked about the age from when they started to attended gym. The questionnaire could have included questions like whether the respondents have any kind of health issues and whether they take additional nutrients supplements. The respondents could have been asked about whether they have personal gym at their house and do they attend any other gym beside The Gym Chain. The respondents could have been asked to rate the Gym about their various facilities available. This would have been given a better idea about the feelings of the users towards the gym. Conclusion It was seen from the analysis that the average age of people who attended gym was above thirty years of age. They spent lot of time in gym along with the money. There was no difference in the intake of calories across the three different countries. The amount of time spent in the gym by the males depends on the amount of time spent on gym by the females. This suggests that both male and female attended the gym and this dependency of the attendance may be because the visit to the gym to mainly done by couples. The gym manager could provide the users with modern equipments especially for the cardiovascular exercises. There are various other suggestions that could provide a better gym to the customers and this would help The Gym Chain to improve the business. Appointing dieticians would provide added facilities to the gym users and this would attract more customers to the gym. Providing better and more trainers to the gym users would help them to work out in a better way and this would in turn help the gym to increase their business. References Arthur, J. C., Perez-Chanona, E., Mhlbauer, M., Tomkovich, S., Uronis, J. M., Fan, T. J., ... Rhodes, J. M. (2012). Intestinal inflammation targets cancer-inducing activity of the microbiota.science,338(6103), 120-123. Bertello, L., Pevtsov, A. A., Keys, D., Petrie, G. (2013, July). 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