Data Collection Methods Essay Example | Topics and Well Written Essays - 1000 words

Data Collection Methods - assay ExampleAn alternative hypothesis is the opposite of null hypothesis and is developed to reject the initial remove of any research or statistician. A survey method (using questionnaire) is more feasible and appropriate for hoard primary reading on consumers income level, attitudes, perceptions, tastes and preferences, restaurants placement and internal environment etc. We shoot initiated this research project with an aim to enter in restaurant industry by offering an set out rather just selling our food products. Hence, it is essential to analyze our competitors market information i-e customers, food menu, location advantage, target market, prices etc. Hence, our group has decided to impersonate our identity and conduct a survey with customers who dine-in at our competitors to obtain their un dark responses. Nevertheless, the ethical principles will not be violated as we will mete out participants after obtaining their free consent as well as en sure confidentiality. As studied in some Marketing Research textbooks, our group has received an insight that a sample refers to the group of peck that are representatives of entire world. Nevertheless, a sample should be carefully chosen to avert possibility of biased responses. More specifically, it should be gender balanced and include people from various localities / neighborhoods / areas to obtain valuable information for a food business. It is worthwhile to mention that sample will be chosen after estimating and analyzing the population of two chosen cities. Indeed, the target market will then be decided so that Santa Fe Grill could offer its products to customers in an efficient and effective manner. Recall that sample should represent the population other than the results and findings would become inappropriate. Our group will consider Probability sampling method in formulating the sample sizing (or a minimum number of participants). This method would be beneficial in samp le designing in the main because we have estimated probability of each sampling unity across two chosen cities.