When calculation of sample size and /or estimated accuracy, the six types of sample model use different algorithm libraries to get systematic parameters and automatically adjusted sample size. If user would like to learn more about, can refer to the following systematic modules include parameter System and Sample size function.
Parameter system Here introducing the six sampling model parameters, these parameters are in the basic concept menu for users to refer and they are often used when users in the process of calculation sample size. Click the View
Sample size function Each model supports two kinds' entry categories: scale value and the proportion value. If sampling object is represented by scale value, according to enter parameters, the sampling model algorithm library offers seven kind of methods for simple, systematic and spatial sample model to calculate sample size simple. It offers two methods for stratified, spatial stratified and "sandwich " sample model to calculate sample size. If sampling object is represented by proportion value (or ratio value), according to enter the parameters, the sampling model function algorithm library offers five of methods for simple, systematic and spatial sample model to calculate sample size. It offers two methods for stratified, spatial stratified and "sandwich " sample model to calculate sample size. Click the View