In the stratified random sample, the researcher divides the population into groups and randomly selects subsamples from each group, with variations including proportional, disproportional, and optimal allocation of subsample sizes (Zikmund, Babin, Carr, & Griffin, 2013, p. 402). This method will separate the sample into classifications, such as: large taxi cab companies, a more typical, normal size company, and also the smaller taxi cab companies. Researchers can then take a simple random sample from each division which would be more in proportionate to the size of the taxi cab company in each classification. Furthermore, once the rate of the items lost in each taxi cab in each classification is determined, researchers can then multiply the number of items left or lost in taxi cabs for each category by the number of taxi cabs in each grouping, and then totaling those numbers, a more accurate number that will better represent the aggregate number of items left or lost in taxi cabs. Lastly, in using the stratified random sample method, there should be at least 500 taxi cabs drivers and taxi cabs used in this research and also a longer period of time should be at least one year to better calculate the numbers. This will provide a better representation of the numbers by encompassing an entire year to include months where there may or may not be more individuals taking a taxi cab to work; more and more individuals are taking public transportation or carpooling as the need for methods of transportation are used to help save the environment, the ozone layer, or to simply save money, and may even ride bicycles in some cultures and cities. All must be considered to obtain accurate
In the stratified random sample, the researcher divides the population into groups and randomly selects subsamples from each group, with variations including proportional, disproportional, and optimal allocation of subsample sizes (Zikmund, Babin, Carr, & Griffin, 2013, p. 402). This method will separate the sample into classifications, such as: large taxi cab companies, a more typical, normal size company, and also the smaller taxi cab companies. Researchers can then take a simple random sample from each division which would be more in proportionate to the size of the taxi cab company in each classification. Furthermore, once the rate of the items lost in each taxi cab in each classification is determined, researchers can then multiply the number of items left or lost in taxi cabs for each category by the number of taxi cabs in each grouping, and then totaling those numbers, a more accurate number that will better represent the aggregate number of items left or lost in taxi cabs. Lastly, in using the stratified random sample method, there should be at least 500 taxi cabs drivers and taxi cabs used in this research and also a longer period of time should be at least one year to better calculate the numbers. This will provide a better representation of the numbers by encompassing an entire year to include months where there may or may not be more individuals taking a taxi cab to work; more and more individuals are taking public transportation or carpooling as the need for methods of transportation are used to help save the environment, the ozone layer, or to simply save money, and may even ride bicycles in some cultures and cities. All must be considered to obtain accurate