Business Research Individual Work 1 Week 8 Essay

transmission line Research Individual Work 1 Week 8 - Essay ExampleLastly, in that respect was the social class for the century plug drivers in each of the major company who were to be interviewed.Random sample distribution was apply in each of the strata mentioned above for example for choosing the countries, cities, taxi companies and lastly for the taxi drivers. There was no contract order for choosing any of the categories above and hence an assumption that the interviewers chose the kth item in each stratum is used. This ingest method not only simplifies the whole sampling method in the large population as well as reduces the expenses of having to travel to different places or collect unnecessarily large reading. The fact that there are diverse drivers also makes the information collected generalizable (Zikmund, Babin, Carr and Griffin, 2012).The population in this sequel study was the taxi drivers because they were the ones whose information was universe sought and wh o formed the basis for the whole research. However, in order to get the information from the taxi drivers but ensure the information was generalizable as well as was accurate and reliable, it was necessary to fit harder. The taxi drivers had to be found in different countries which meant not only choosing the countries but the cities as well. Since the design of interviews to be conducted were many, it was necessary to find a taxi company with large number of drivers than the provided approximate of 100 drivers in each company so that they can be randomly chosen.The sample in the case was the number of the taxi drivers in each major taxi company which is 100 specified in the case study. The 100 taxi drivers were declared the sample because they were the ones who were to participate directly in the interviews for the research being carried out. The sampling method as mentioned above is the stratified sampling technique which is under the probability sampling methods because it is p urely based on probability and not on judgment of the