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The Relationship between the Colonel and Sabas in No One...

Our first encounter with Sabas is at the funeral of the musician that had died a natural death which was not common in that area. At this point there is no sign of Sabas’ wealth or his impertinence. In this section of the novel we are told that Sabas is the Godfather of the colonel’s son who is no more. â€Å"It was Sabas, the godfather of his dead son, the only leader of his party who had escaped political persecution and had continued to live in the town† [p.7]. In quote, Gabriel gives us some background information on Sabas’ professional life and states that he is a failed politician. At this point the reader gets an idea of his personality considering the fact that Sabas had escaped the criminal prosecution that he was charged with. Later†¦show more content†¦However, coming back to the relationship of these two characters, Gabriel somewhat shows Sabas’ nature towards the colonel. â€Å"Have the doctor take a look at you my friend† [p.38]. Sabas had been noticing that the colonel had been acting strange ever since the funeral took place. Concerning the colonel’s health, Sabas tries to get him to seek help and guidance. Is this concern genuine or is he showing an artificial affection? It is not exactly clear. An important part of the novel where we see Sabas’ devious character is when he shouts at his wife without much of a reason. â€Å"Close your mouth for a minute, he ordered his wife†¦You’ve been bothering my friend for half an hour with your foolishness† [p.40]. Anyone would know that it is not right talking to a woman like that especially in front of a guest. I don’t think that the colonel would have been impressed with this behavior of Sabas. On page 46, we are informed, indirectly, about the affluence of Sabas through the following quotes. â€Å"But he is Dying of diabetes†¦the best cure for diabetes is poverty† [p.46]. These quotes were taken from the discussion between the colonel and the doctor. Saying that the best cure for diabetes is poverty only states that Sabas had been living a wealthy lifestyle eating and drinking whatever he wanted to. Another example of Sabas’ greediness is when he offers the colonel 400 pesos instead of what he promised which was 900 pesos. This may not seem like a lot of money butShow MoreRelated Honor in No One Writes to the Colonel and Chronicle of a Death Foretold by Garcia-Marquez1616 Words   |  7 PagesHonor in No One Writes to the Colonel and Chronicle of a Death Foretold by Garcia-Marquez Every culture in the world has its own unique set of values that they adhere to in life. The most important value to people is their honor. Honor is a very important factor in a person life that they will stop at nothing to make sure it is not lost. This endless pursuit of keeping honor can causes both positive and negative effects to a society. The reason honor is a main driving force in a persons

Business Statistics Employee Customer Chain

Question: Describe about the Business Statistics for Employee Customer Chain. Answer: Section 1: Introduction: The dataset in this assignment consists of the data about the survey in a gym. The gym mentioned in this report has proposed a change. The reaction of the customers regarding the change is to be analyzed in this report. The opinion about the change proposed in the gym many vary according o the customers. The change that is being proposed may work well for one group of customer while the change may not be liked by the other group. For example, the female group may be attracted by a discount offered in the gym while the discount may not work well for the male customers. In this dataset, the information about the type of exercise performed, the height, weight, physical fitness of the customers is being obtained. The data has been analyzed using various statistical techniques. The change that is to be proposed has to be determined on the basis of the results of data analysis. A survey has been conducted among the customers to know whether the customers are in favor of the proposed change or not. The data has been analyzed using various techniques such as testing of hypothesis and confidence intervals. The report will give an idea about the success of the proposed change. Section 2: According to Wu Shih (2014), the customer loyalty is a very important factor in the function of a gym. The customer loyalty is driven by many factors such as the quality of service, machineries in the gym and others. According to Makover (2016), a study has been conducted to know about the factors affecting customer satisfaction in the gym. The study has been conducted among the fitness clubs located in South Florida. The customer satisfaction that is customer loyalty, brand loyalty and others are driven by thee service and quality provided in the fitness centers. Therefore, it is recommended that the customer satisfaction should be ensured in a gym to improve the business of the gym. Section 3: The customer satisfaction can be ensured with the help of the service provided in the gym. The service provided in the gym can be explored with the help of the change in the body mass index of the customers and the number of minutes spent in the weighing exercise. The following scatter diagram has been obtained for the two variables. Figure: Scatter diagram Source: Created by author The scatter diagram given above has been obtained by plotting the time spent by the customers in a weighing machine and the body mass index of the customers. The body mass index of the customer is a measurement of body fitness. The body mass index is measured by the weight of the person divided by the height of the person. The regular exercise is expected to reduce the Body mass index of the people. Therefore, the Body mass index is expected to have a negative relationship with the time spent in weighing machine. The co efficient of regression analysis will help to know about the relationship between the two variables. The regression line obtained in this case is: y = -1.106*x + 48.84 +e. The value of the regression co efficient obtained is -1.106. Therefore, it can be said that the model is not very good fitted. However, the model shows that there is a negative relationship between the body mass index and the time spent on weighing machine. A regression analysis has been conducted taking the B.MI as the dependent variable and the time spent on weighing machine as the independent variable. SUMMARY OUTPUT Regression Statistics Multiple R 0.191417 R Square 0.03664 Adjusted R Square 0.02681 Standard Error 2.816598 Observations 100 Table 1: Adjusted R-squared values of regression analysis (Source: Created by author) ANOVA df SS MS F Significance F Regression 1 29.56975 29.56975 3.727329 0.056419 Residual 98 777.4562 7.933226 Total 99 807.0259 Table 2: ANOVA of regression analysis (Source: Created by author) Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 26.68483 0.444478 60.03638 4.22E-79 25.80278 27.56689 25.80278 27.56689 Q12: Minutes on weight machine. -0.03311 0.017149 -1.93063 0.056419 -0.06714 0.000923 -0.06714 0.000923 Table 3: Regression analysis of B. M. I and time spent on weighing machine (Source: Created by author) The results of regression analysis show that the time spent on weighing machine has an inverse relation with the B.M.I. A test has been conducted to know whether the regression co efficient is significantly different from zero or not. The single sample t-test has been conducted for the purpose. The objective of the test is to see if the regression co efficient is significantly different from zero or not. The p-value of the test obtained is more than 0.05 for the slope. Therefore, the regression co efficient has a significant effect on the dependent variable. The regression co efficient is significantly different from zero. Therefore, one can say that as the value of B. M. I increases, the value of time spent in weighing machine decreases. There is an inverse relation between the two. The mean and variance of the two variables are given in the following table: MEASURES B . M. I Q12: Minutes on weight machine. MEAN 26.021 20.05 STANDATD DEVIATION 2.855132 16.50673 Table 4: Mean and variance of B. M. I and time spent on weighing machine (Source: Created by author) Section 4: Managerial advice: The quality of weighing exercise in the gym is very poor. The results of regression analysis show that. It has been pointed out that customer satisfaction is one of the main reasons driving the change in the business of the gym. The condition of physical exercise needs to be improved. The gym can employ better trainer to bring about the proposed change. The efficient trainer can bring about betterment of physical exercise in the gym. Section 5: A survey has been conducted among the gym customers to know about the proportion of people who are in favor of the proposed change. The survey has been conducted by taking a sample of one thousand customers. The survey has been conducted by taking the help of sampling method. The aim of doing so is to save the time and labor in conducting the study. The customers were asked if they liked the proposed change or not. It has been found that out of a total of one thousand customers, a total of 892 customers are in favor of the proposed change. This means that majority of the customers likes the proposed change. A t-test has been conducted to see if the number of people who are in support of the change is greater than .5 or not. The null hypothesis of the test is H0: p= 0.5 and the alternative hypothesis is H1: p 0.5. The term p denotes the proportion of people who are in favor of the change. The alternative hypothesis indicates that the proportion of people can be greater than or less t han 0.5. The value of the proportion has been calculated to be 0.892 which is much greater than 0.5. The test statistic is : t = (p 0.5)/S.E(p) The term S.E (p) denotes the standard error of the proportion. The formula for the calculation of standard error is: E (p) = sqrt(p(1-p)/n). The value of standard error that has been calculated on the basis of the given sample is 0.31038. The value of the test statistic is 1.2629. The test statistic is said to follow a standard normal distribution as the value of the sample is very large. The value of the t statistic has been calculated to be 1.645 at 10 % significance level. Therefore, the null hypothesis of the test is accepted as the p-value is greater than given level of significance 10 percent. A confidence interval has been calculated for the proportion of people as well. The confidence interval has been calculated by the following formula: I = ( p 1.645* S.E (p) , p + 1.645 * S.E (p)) The confidence interval has been calculated to be (0.31038032, 1.402575). This implies that the value of the proportion is expected to lie within this interval. Section 7: Conclusion and recommendation: The report gives an idea about the customer service in a gym. The gym has proposed a new change to bring about the efficiency in the customers. A new fitness trainer has been introduced in the gym. The study suggest that majority of customers are in support of the proposed change. The recommendations that follow from the test are: Therefore, it is recommended from the study that the gym should bring about the proposed change to increase its customers. With the help of the proposed change, the gym can increase customer satisfaction and increase customer loyalty. The customers has also voted in favor of the change. The fitted regression model is not very good as is explained by the adjusted R-squared. This may be due to the insufficient sample or improper sampling techniques. Therefore, a proper sample should be used for the study. References: Makover, B. (2016). Examining the employee-customer chain in the fitness industry. Polyakova, O., Mirza, M. T. (2016). Service quality models in the context of the fitness industry.Sport, Business and Management: An International Journal,6(3). Wu, L. C., Shih, I. (2014). The product development process of an enterprise from an SSME perspective.Service Business,8(1), 29-50.