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This study was conducted by way of a survey, which questioned those who were surveyed about personal preference for two fast food establishments–Shakey’s and Pizza Hut.
This study was conducted by Second-Year students of Southville International School handing out and collecting the survey data. This method of survey was used because it was flexible for the participants and the researchers. Additionally, the use of hand-collected surveys allowed the researchers to check the information immediately for accuracy and to analyse the data quickly. It was cost efficient in that there were no computer-based costs associated with distributing and collecting the materials.
The survey was made for the two restaurants that comprise the priorities of people’s choices on food: Pizza Hut and Shakey’s. The data collected is based on the responses of 10 individuals who have participated in the survey. The information collected of the restaurant’s visitors comprised of their name, age, time of day when they mostly visit the restaurant, their gender, which of the two restaurants they prefer most, how long they usually wait for the services, how long they wait for the food, their rating of the customer service provided and the location of the restaurant they visited. In other words, the qualitative analysis of data was chosen for the conduct of the survey.
The main goal of the collected information is to improve business operations. What’s more, the collected information can help the business get what customers want best and serve them better. It is in line with the business goal of maximizing profit but at the same time provide exceptional customer service. This information can help the business to reduce its operation costs. Methods of advertising and when exactly to advertise can be best influenced by the information collected.
The questionnaire for this study is composed of 8 questions:
The following analysis of the data can be used. The first and foremost conclusion that can be drawn from the survey evidence that more people prefer Pizza Hut to Shakey’s as the preference of the restaurant. Several factors influence their choices. Pizza Hut decision to attract customers would be less involving as compared to that of possesses a number of constant visitors. It shall also be mentioned that Pizza Hut should, therefore, look into other areas in order to increase its competitive advantage (Bazerman, 1986). The age of customers’ bracket ranges from fifteen to twenty-five and Pizza Hut attracts both male and female customers equally. Most customers visit Pizza Hut between 1 pm and 8 pm. The average duration of time that a customer has to wait for service is 2.3 units of time. The duration that the customers have to wait for food averages at 14 units of time. The customers rating of the service delivered at Pizza Hut averages at 2.3. The visitation of the different branches of Pizza Hut is even as five individuals prefer to go to the Lap Pinas location as five others prefer the Paranaque branch. The median for arrival time is 5 pm calculated by arranging the values in ascending order then finding the middle value. The median for service time data is 2. The mode for arrival time is 5 pm as it occurs the most number of times, the mode for service time is 1. The 90th percentile for the arrival time data is 7; the median percentile is 5, and the 20th percentile is 1. The 90th percentile for service time data is 5; the median percentile is 2, and the 20th percentile is 1. The first quartile (Q1) for arrival time is 1, and the third quartile (Q3) is 5 for arrival time data. For service time data Q1 is 1 and Q3 are 3. The correlation coefficient of service time and arrival time is -0.43.
The provided data is raw and for it to be beneficial to the fast food restaurant it has to be interpreted and put into a business context. The survey is indicative of a sample population and the data collected from the sample is not entirely true. The first conclusion is that the greater portion of the public prefers the Pizza Hut top Shakey’s. Pizza Hut in this occasion does have the largest market share and can employ economies of scale to make the competition tilt in their favour. For instance due to a large number of customers Pizza Hut can be able to produce beyond their breakeven point and have enough revenue to cover all their expenses. This can enable the fast food restaurant to offer better prices for Pizza and other fast food than direct and indirect rivals.
Basing on the idea that people prefer Pizza Hut top the alternative restaurant, the restaurant should seek to cement customer loyalty and even increase their market share. This is mostly done through the services provided and how they provide those services. From this business, the least time one had to wait for food is 1 unit of time, and the most is five units of time. The average for this is at 2.3 units of time. Pizza Hut should see this as inadequacy the service provision and seek to improve the customer wait time. In order to reduce the wait time, the business can invest in new technology that performs at a higher rate than the one available or even increase the employees. The duration of waiting for food applies almost the same as the customer duration of service and to improve on this the same can be done as it too is below the average. The customer rating is the view of the customer based on his or her own experience from the time he entered the premises to the time he left. A lot of things happen during this time. The service duration, wait for food time, cleanliness, the decoration comes into context as well as the hospitality of the employees at Pizza Hut. This rating is at 2.3 on average which is below the required levels. The restaurant, therefore, need to improve on this by offering additional training to its waitresses, chefs, cleaners and attendants in order create a better impression on the customer. The customers are evenly distributed between the two locations. Therefore, there is no need to increase the branches. The median value for service delivery is two meaning Pizza Hut should work on reducing this figure further.
The median arrival time 5 indicates this is the time when the business is at its peak operations. The mode being shows that most people visit the restaurant at 5 pm. The mode for service time 1 is not very bad and shows that the business is doing well in reducing service time to the least. The 90th percentile for the arrival time is seven while the 20th percentile is 1. This shows that most activity occurs between 1 and 5 pm, and the business should increase productivity during these hours in order to satisfy customers fully. The Q1 for the arrival time is 1 and Q3 are five; most business activities occur at this hour as seen through other statistical measures. Q1 for service time is 1 and Q3 are 3. The best is 1 and 3 are towards a negative impression; the business should strive to attain a 1 in this sector. The correlation coefficient is -0.43 which shows that the strength of arrival time is not service delivery is not very strong.
No less important is to mention that statistical analysis is vital in business decision-making in regards for numerical terms of the collected data. Therefore, this part of business analysis is dedicated to understanding of various measures of dispersion.
The standard deviation for the group is 2.538 for arrival time and 1.487 for service delivery time. The variance for the arrival time is 6.442 and the variance for service delivery time is 2.211. The coefficient correlation remains to be -0.43 which shows a weak correlation between the two variables.
The information calculated above shows that the deviation from the mean arrival time is approximately 2.5 service delivery is 1.5. The ratio is favourable and it should be enough to serve customers. If the service delivery deviation would have been more than arrival time then there would be a problem of attending to the number of customers and the operations would most likely grind to a halt. The negative correlation shows that the two sets of data are not strongly related.
Variance brings out the deviations between the observation and the mean. Standard deviation is the square root of the variance.
Quartiles and percentiles are used to show representative measure. Percentiles show the percentage of value that are below a certain value for instance 3rd quartile shows that 75 percent are below an amount and 25 percent are above a certain amount (Gilligan, Neale and Murray, 1983). Quartiles can be divided into 1st quartile, 2nd quartile, 3rd quartile and 4th in order to make a business decision.
The correlation coefficient is a statistical concept that is used to measure the linear strength between two variables. The correlation coefficient is always denoted by letter “r” and runs from-1 to +1. The closer is to +1 the stronger the relationship. This relationship helps businesses in making decisions. The purpose of the quartile and the correlation makes an important evidence of the importance of business analysis in terms of future predictions. Therefore, it shall also be taking into account for making the research thorough and clear.
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